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ORCIDYossi Matias
Person information
- affiliation: Google, Tel Aviv, Israel
- affiliation (former): Tel Aviv University, Israel
- award (2019): ACM Paris Kanellakis Theory and Practice Award
- award (2005): Gödel Prize
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2020 – today
- 2024
[c94]Brenna Li
, Amy Wang, Patricia Strachan, Julie Anne Séguin, Sami Lachgar, Karyn C. Schroeder, Mathias S. Fleck, Renee Wong, Alan Karthikesalingam, Vivek Natarajan, Yossi Matias, Gregory S. Corrado, Dale R. Webster, Yun Liu, Naama Hammel, Rory Sayres, Christopher Semturs, Mike Schaekermann:
Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM. CHI Extended Abstracts 2024: 88:1-88:10- [i49]Tao Tu, Anil Palepu, Mike Schaekermann, Khaled Saab, Jan Freyberg, Ryutaro Tanno, Amy Wang, Brenna Li, Mohamed Amin, Nenad Tomasev, Shekoofeh Azizi, Karan Singhal, Yong Cheng, Le Hou, Albert Webson, Kavita Kulkarni, S. Sara Mahdavi, Christopher Semturs, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Alan Karthikesalingam, Vivek Natarajan:
Towards Conversational Diagnostic AI. CoRR abs/2401.05654 (2024) - [i48]Rajeev V. Rikhye, Aaron Loh, Grace Eunhae Hong, Preeti Singh, Margaret Ann Smith, Vijaytha Muralidharan, Doris Wong, Rory Sayres, Michelle Phung, Nicolas Betancourt, Bradley Fong, Rachna Sahasrabudhe, Khoban Nasim, Alec Eschholz, Basil Mustafa, Jan Freyberg, Terry Spitz, Yossi Matias, Gregory S. Corrado, Katherine Chou, Dale R. Webster, Peggy Bui, Yuan Liu, Yun Liu, Justin Ko, Steven Lin:
Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings. CoRR abs/2402.15566 (2024) - [i47]Abbi Ward, Jimmy Li, Julie Wang, Sriram Lakshminarasimhan, Ashley Carrick, Bilson J. L. Campana, Jay Hartford, Pradeep Kumar S, Tiya Tiyasirichokchai, Sunny Virmani, Renee Wong, Yossi Matias, Gregory S. Corrado, Dale R. Webster, Dawn Siegel, Steven Lin, Justin Ko, Alan Karthikesalingam, Christopher Semturs, Pooja Rao:
Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset. CoRR abs/2402.18545 (2024) - [i46]Sebastien Baur, Zaid Nabulsi, Wei-Hung Weng, Jake Garrison, Louis Blankemeier, Sam Fishman, Christina Chen, Sujay Kakarmath, Minyoi Maimbolwa, Nsala Sanjase, Brian Shuma, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Shruthi Prabhakara, Monde Muyoyeta, Diego Ardila:
HeAR - Health Acoustic Representations. CoRR abs/2403.02522 (2024) - [i45]Yotam Intrator, Matan Halfon, Roman Goldenberg, Reut Tsarfaty, Matan Eyal, Ehud Rivlin, Yossi Matias, Natalie Aizenberg:
Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications? CoRR abs/2403.04792 (2024) - [i44]Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal:
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR abs/2403.12025 (2024) - [i43]Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan:
Capabilities of Gemini Models in Medicine. CoRR abs/2404.18416 (2024) - [i42]Lin Yang, Shawn Xu, Andrew Sellergren, Timo Kohlberger, Yuchen Zhou, Ira Ktena, Atilla P. Kiraly, Faruk Ahmed, Farhad Hormozdiari, Tiam Jaroensri, Eric Wang, Ellery Wulczyn, Fayaz Jamil, Theo Guidroz, Chuck Lau, Siyuan Qiao, Yun Liu, Akshay Goel, Kendall Park, Arnav Agharwal, Nick George, Yang Wang, Ryutaro Tanno, David G. T. Barrett, Wei-Hung Weng, S. Sara Mahdavi, Khaled Saab, Tao Tu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Jorge Cuadros, Gregory Sorensen, Yossi Matias, Katherine Chou, Greg Corrado, Joelle K. Barral, Shravya Shetty, David J. Fleet, S. M. Ali Eslami, Daniel Tse, Shruthi Prabhakara, Cory Y. McLean, Dave Steiner, Rory Pilgrim, Christopher Kelly, Shekoofeh Azizi, Daniel Golden:
Advancing Multimodal Medical Capabilities of Gemini. CoRR abs/2405.03162 (2024) - [i41]Lior Shani, Aviv Rosenberg, Asaf Cassel, Oran Lang, Daniele Calandriello, Avital Zipori, Hila Noga, Orgad Keller, Bilal Piot, Idan Szpektor, Avinatan Hassidim, Yossi Matias, Rémi Munos:
Multi-turn Reinforcement Learning from Preference Human Feedback. CoRR abs/2405.14655 (2024) - [i40]Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Nicholas A. Furlotte, Zhun Yang, Chace Lee, Erik Schenck, Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant, Ryan G. Gomes, Allen Jiang, Roy Lee, Yun Liu, Javier Perez Matos, Jameson K. Rogers, Cathy Speed, Shyam Tailor, Megan Walker, Jeffrey Yu, Tim Althoff, Conor Heneghan, John Hernandez, Mark Malhotra, Leor Stern, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Jiening Zhan, Shruthi Prabhakara, Daniel McDuff, Cory Y. McLean:
Towards a Personal Health Large Language Model. CoRR abs/2406.06474 (2024) - [i39]Arie Cattan, Alon Jacovi, Alex Fabrikant, Jonathan Herzig, Roee Aharoni, Hannah Rashkin, Dror Marcus, Avinatan Hassidim, Yossi Matias, Idan Szpektor, Avi Caciularu:
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations. CoRR abs/2406.13632 (2024) - [i38]Faruk Ahmed, Andrew Sellergren, Lin Yang, Shawn Xu, Boris Babenko, Abbi Ward, Niels Olson, Arash Mohtashamian, Yossi Matias, Greg Corrado, Quang Duong, Dale R. Webster, Shravya Shetty, Daniel Golden, Yun Liu, David F. Steiner, Ellery Wulczyn:
PathAlign: A vision-language model for whole slide images in histopathology. CoRR abs/2406.19578 (2024) - [i37]Brigitte Hoyer Gosselink, Kate Brandt, Marian Croak, Karen DeSalvo, Ben Gomes, Lila Ibrahim, Maggie Johnson, Yossi Matias, Ruth Porat, Kent Walker, James Manyika:
AI in Action: Accelerating Progress Towards the Sustainable Development Goals. CoRR abs/2407.02711 (2024) - [i36]Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Görür, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell L. Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Christopher Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulous, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim:
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. CoRR abs/2407.12687 (2024) - [i35]Liron David, Omer Berkman, Avinatan Hassidim, David Lazarov, Yossi Matias, Moti Yung:
Cryptiny: Compacting Cryptography for Space-Restricted Channels and its Use-case for IoT-E2EE. IACR Cryptol. ePrint Arch. 2024: 1128 (2024) - 2023
- [j43]Dani Valevski, Matan Kalman, Eyal Molad, Eyal Segalis, Yossi Matias, Yaniv Leviathan:
UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image. ACM Trans. Graph. 42(4): 128:1-128:10 (2023) - [c93]Yaniv Leviathan, Matan Kalman, Yossi Matias:
Fast Inference from Transformers via Speculative Decoding. ICML 2023: 19274-19286 - [c92]Dani Valevski, Danny Lumen, Yossi Matias, Yaniv Leviathan:
Face0: Instantaneously Conditioning a Text-to-Image Model on a Face. SIGGRAPH Asia 2023: 94:1-94:10 - [i34]Eyal Molad, Eliahu Horwitz, Dani Valevski, Alex Rav-Acha, Yossi Matias, Yael Pritch, Yaniv Leviathan, Yedid Hoshen:
Dreamix: Video Diffusion Models are General Video Editors. CoRR abs/2302.01329 (2023) - [i33]Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y. McLean, Yossi Matias, Gregory S. Corrado, Shravya Shetty, Shruthi Prabhakara, Yun Liu, Goodarz Danaei, Diego Ardila:
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. CoRR abs/2305.05648 (2023) - [i32]Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Mike Schaekermann, Amy Wang, Mohamed Amin, Sami Lachgar, Philip Andrew Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Nenad Tomasev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan:
Towards Expert-Level Medical Question Answering with Large Language Models. CoRR abs/2305.09617 (2023) - [i31]Oran Lang, Doron Yaya-Stupp, Ilana Traynis, Heather Cole-Lewis, Chloe R. Bennett, Courtney Lyles, Charles Lau, Christopher Semturs, Dale R. Webster, Gregory S. Corrado, Avinatan Hassidim, Yossi Matias, Yun Liu, Naama Hammel, Boris Babenko:
Using generative AI to investigate medical imagery models and datasets. CoRR abs/2306.00985 (2023) - [i30]Dani Valevski, Danny Wasserman, Yossi Matias, Yaniv Leviathan:
Face0: Instantaneously Conditioning a Text-to-Image Model on a Face. CoRR abs/2306.06638 (2023) - [i29]David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev V. Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Gregory S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam:
Evaluating AI systems under uncertain ground truth: a case study in dermatology. CoRR abs/2307.02191 (2023) - [i28]Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Chuck Lau, Ryutaro Tanno, Ira Ktena, Basil Mustafa, Aakanksha Chowdhery, Yun Liu, Simon Kornblith, David J. Fleet, Philip Andrew Mansfield, Sushant Prakash, Renee Wong, Sunny Virmani, Christopher Semturs, S. Sara Mahdavi, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Karan Singhal, Pete Florence, Alan Karthikesalingam, Vivek Natarajan:
Towards Generalist Biomedical AI. CoRR abs/2307.14334 (2023) - [i27]Grey Nearing, Deborah Cohen, Vusumuzi Dube, Martin Gauch, Oren Gilon, Shaun Harrigan, Avinatan Hassidim, Frederik Kratzert, Asher Metzger, Sella Nevo, Florian Pappenberger, Christel Prudhomme, Guy Shalev, Shlomo Shenzis, Tadele Tekalign, Dana Weitzner, Yossi Matias:
AI Increases Global Access to Reliable Flood Forecasts. CoRR abs/2307.16104 (2023) - [i26]Shawn Xu, Lin Yang, Christopher Kelly, Marcin Sieniek, Timo Kohlberger, Martin Ma, Wei-Hung Weng, Attila Kiraly, Sahar Kazemzadeh, Zakkai Melamed, Jungyeon Park, Patricia Strachan, Yun Liu, Chuck Lau, Preeti Singh, Christina Chen, Mozziyar Etemadi, Sreenivasa Raju Kalidindi, Yossi Matias, Katherine Chou, Gregory S. Corrado, Shravya Shetty, Daniel Tse, Shruthi Prabhakara, Daniel Golden, Rory Pilgrim, Krish Eswaran, Andrew Sellergren:
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders. CoRR abs/2308.01317 (2023) - [i25]Louis Blankemeier, Sebastien Baur, Wei-Hung Weng, Jake Garrison, Yossi Matias, Shruthi Prabhakara, Diego Ardila, Zaid Nabulsi:
Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals. CoRR abs/2309.05843 (2023) - [i24]Jeremy Lai, Faruk Ahmed, Supriya Vijay, Tiam Jaroensri, Jessica Loo, Saurabh Vyawahare, Saloni Agarwal, Fayaz Jamil, Yossi Matias, Gregory S. Corrado, Dale R. Webster, Jonathan Krause, Yun Liu, Po-Hsuan Cameron Chen, Ellery Wulczyn, David F. Steiner:
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. CoRR abs/2310.13259 (2023) - [i23]Eyal Segalis, Dani Valevski, Danny Lumen, Yossi Matias, Yaniv Leviathan:
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation. CoRR abs/2310.16656 (2023) - [i22]Daniel McDuff, Mike Schaekermann, Tao Tu, Anil Palepu, Amy Wang, Jake Garrison, Karan Singhal, Yash Sharma, Shekoofeh Azizi, Kavita Kulkarni, Le Hou, Yong Cheng, Yun Liu, S. Sara Mahdavi, Sushant Prakash, Anupam Pathak, Christopher Semturs, Shwetak N. Patel, Dale R. Webster, Ewa Dominowska, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Jake Sunshine, Alan Karthikesalingam, Vivek Natarajan:
Towards Accurate Differential Diagnosis with Large Language Models. CoRR abs/2312.00164 (2023) - 2022
- [j42]Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
Adversarially Robust Streaming Algorithms via Differential Privacy. J. ACM 69(6): 42:1-42:14 (2022) - [j41]Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
Differentially Private Learning of Geometric Concepts. SIAM J. Comput. 51(4): 952-974 (2022) - [j40]Liron David, Avinatan Hassidim, Yossi Matias, Moti Yung, Alon Ziv:
Eddystone-EID: Secure and Private Infrastructural Protocol for BLE Beacons. IEEE Trans. Inf. Forensics Secur. 17: 3877-3889 (2022) - [c91]Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias:
TRUE: Re-evaluating Factual Consistency Evaluation. DialDoc@ACL 2022: 161-175 - [c90]Liron David, Avinatan Hassidim, Yossi Matias, Moti Yung:
Scaling up GAEN Pseudorandom Processes: Preparing for a More Extensive Pandemic. ESORICS (1) 2022: 237-255 - [c89]Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias:
TRUE: Re-evaluating Factual Consistency Evaluation. NAACL-HLT 2022: 3905-3920 - [i21]Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias:
TRUE: Re-evaluating Factual Consistency Evaluation. CoRR abs/2204.04991 (2022) - [i20]Boris Babenko, Ilana Traynis, Christina Chen, Preeti Singh, Akib Uddin, Jorge Cuadros, Lauren P. Daskivich, April Y. Maa, Kim Ramasamy, Eugene Yu-Chuan Kang, Yossi Matias, Gregory S. Corrado, Lily Peng, Dale R. Webster, Christopher Semturs, Jonathan Krause, Avinash V. Varadarajan, Naama Hammel, Yun Liu:
Discovering novel systemic biomarkers in photos of the external eye. CoRR abs/2207.08998 (2022) - [i19]Deborah Cohen, Moonkyung Ryu, Yinlam Chow, Orgad Keller, Ido Greenberg, Avinatan Hassidim, Michael Fink, Yossi Matias, Idan Szpektor, Craig Boutilier, Gal Elidan:
Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning. CoRR abs/2208.02294 (2022) - [i18]Dani Valevski, Matan Kalman, Yossi Matias, Yaniv Leviathan:
UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image. CoRR abs/2210.09477 (2022) - [i17]Yaniv Leviathan, Matan Kalman, Yossi Matias:
Fast Inference from Transformers via Speculative Decoding. CoRR abs/2211.17192 (2022) - [i16]Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Kumar Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal Schärli, Aakanksha Chowdhery, Philip Andrew Mansfield, Blaise Agüera y Arcas, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomasev, Yun Liu, Alvin Rajkomar, Joelle K. Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan:
Large Language Models Encode Clinical Knowledge. CoRR abs/2212.13138 (2022) - 2021
- [c88]Shlomo Hoory, Amir Feder, Avichai Tendler, Sofia Erell, Alon Peled-Cohen, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim, Yossi Matias:
Learning and Evaluating a Differentially Private Pre-trained Language Model. EMNLP (Findings) 2021: 1178-1189 - [c87]Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry:
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling. NeurIPS 2021: 1378-1389 - [c86]Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou:
Adversarial Robustness of Streaming Algorithms through Importance Sampling. NeurIPS 2021: 3544-3557 - [i15]Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry:
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling. CoRR abs/2106.07218 (2021) - [i14]Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou:
Adversarial Robustness of Streaming Algorithms through Importance Sampling. CoRR abs/2106.14952 (2021) - [i13]Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal, Asher Metzger, Chen Barshai, Dana Weitzner, Dafi Voloshin, Frederik Kratzert, Gal Elidan, Gideon Dror, Gregory Begelman, Grey Nearing, Guy Shalev, Hila Noga, Ira Shavitt, Liora Yuklea, Moriah Royz, Niv Giladi, Nofar Peled Levi, Ofir Reich, Oren Gilon, Ronnie Maor, Shahar Timnat, Tal Shechter, Vladimir Anisimov, Yotam Gigi, Yuval Levin, Zach Moshe, Zvika Ben-Haim, Avinatan Hassidim, Yossi Matias:
Flood forecasting with machine learning models in an operational framework. CoRR abs/2111.02780 (2021) - 2020
- [j39]Amir Feder, Danny Vainstein, Roni Rosenfeld, Tzvika Hartman, Avinatan Hassidim, Yossi Matias:
Active deep learning to detect demographic traits in free-form clinical notes. J. Biomed. Informatics 107: 103436 (2020) - [j38]Tzvika Hartman, Michael D. Howell, Jeff Dean, Shlomo Hoory, Ronit Slyper, Itay Laish, Oren Gilon, Danny Vainstein, Greg Corrado, Katherine Chou, Ming Jack Po, Jutta Williams, Scott Ellis, Gavin Bee, Avinatan Hassidim, Rony Amira, Genady Beryozkin, Idan Szpektor, Yossi Matias:
Customization scenarios for de-identification of clinical notes. BMC Medical Informatics Decis. Mak. 20(1): 14 (2020) - [j37]Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin:
Detecting Deficient Coverage in Colonoscopies. IEEE Trans. Medical Imaging 39(11): 3451-3462 (2020) - [c85]Yotam Gigi, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias, Ami Wiesel:
Spectral Algorithm for Shared Low-rank Matrix Regressions. SAM 2020: 1-5 - [c84]Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
Adversarially Robust Streaming Algorithms via Differential Privacy. NeurIPS 2020 - [c83]Idan Szpektor, Deborah Cohen, Gal Elidan, Michael Fink, Avinatan Hassidim, Orgad Keller, Sayali Kulkarni, Eran Ofek, Sagie Pudinsky, Asaf Revach, Shimi Salant, Yossi Matias:
Dynamic Composition for Conversational Domain Exploration. WWW 2020: 872-883 - [i12]Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin:
Detecting Deficient Coverage in Colonoscopies. CoRR abs/2001.08589 (2020) - [i11]Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
Adversarially Robust Streaming Algorithms via Differential Privacy. CoRR abs/2004.05975 (2020) - [i10]Sella Nevo, Gal Elidan, Avinatan Hassidim, Guy Shalev, Oren Gilon, Grey Nearing, Yossi Matias:
ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach. CoRR abs/2012.00671 (2020)
2010 – 2019
- 2019
- [c82]Eliav Buchnik, Edith Cohen, Avinatan Hassidim, Yossi Matias:
Self-similar Epochs: Value in arrangement. ICML 2019: 841-850 - [c81]Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
Differentially Private Learning of Geometric Concepts. ICML 2019: 3233-3241 - [c80]Joel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael P. Brenner, Julie Cattiau, Fernando Vieira, Maeve McNally, Taylor Charbonneau, Melissa Nollstadt, Avinatan Hassidim, Yossi Matias:
Personalizing ASR for Dysarthric and Accented Speech with Limited Data. INTERSPEECH 2019: 784-788 - [c79]Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, Yossi Matias:
Audio De-identification - a New Entity Recognition Task. NAACL-HLT (2) 2019: 197-204 - [i9]Yotam Gigi, Gal Elidan, Avinatan Hassidim, Yossi Matias, Zach Moshe, Sella Nevo, Guy Shalev, Ami Wiesel:
Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many. CoRR abs/1901.00786 (2019) - [i8]Sella Nevo, Vova Anisimov, Gal Elidan, Ran El-Yaniv, Pete Giencke, Yotam Gigi, Avinatan Hassidim, Zach Moshe, Mor Schlesinger, Guy Shalev, Ajai Tirumali, Ami Wiesel, Oleg Zlydenko, Yossi Matias:
ML for Flood Forecasting at Scale. CoRR abs/1901.09583 (2019) - [i7]Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
Differentially Private Learning of Geometric Concepts. CoRR abs/1902.05017 (2019) - [i6]Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, Yossi Matias:
Audio De-identification: A New Entity Recognition Task. CoRR abs/1903.07037 (2019) - [i5]Joel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael P. Brenner, Julie Cattiau, Fernando Vieira, Maeve McNally, Taylor Charbonneau, Melissa Nollstadt, Avinatan Hassidim, Yossi Matias:
Personalizing ASR for Dysarthric and Accented Speech with Limited Data. CoRR abs/1907.13511 (2019) - [i4]Yotam Gigi, Ami Wiesel, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias:
Spectral Algorithm for Low-rank Multitask Regression. CoRR abs/1910.12204 (2019) - 2018
- [i3]Eliav Buchnik, Edith Cohen, Avinatan Hassidim, Yossi Matias:
LSH Microbatches for Stochastic Gradients: Value in Rearrangement. CoRR abs/1803.05389 (2018) - 2013
- [c78]Yossi Matias:
Nowcasting with Google Trends. SPIRE 2013: 4 - 2012
- [c77]Assaf Ben-David, Omer Berkman, Yossi Matias, Sarvar Patel, Cem Paya, Moti Yung:
Contextual OTP: Mitigating Emerging Man-in-the-Middle Attacks with Wireless Hardware Tokens. ACNS 2012: 30-47 - [c76]Yossi Matias:
On Big Data Algorithmics. ESA 2012: 1 - 2011
- [j36]Larisa Eidelman, Orit Hazzan, Tami Lapidot, Yossi Matias, Daniela Raijman, Michal Segalov:
Mind the (gender) gap: can a two-hour visit to a hi-tech company change perceptions about computer science? Inroads 2(3): 64-70 (2011) - 2010
- [c75]Maayan Roth, Assaf Ben-David, David Deutscher, Guy Flysher, Ilan Horn, Ari Leichtberg, Naty Leiser, Yossi Matias, Ron Merom:
Suggesting friends using the implicit social graph. KDD 2010: 233-242
2000 – 2009
- 2009
- [c74]Noam Nisan, Jason Bayer, Deepak Chandra, Tal Franji, Robert Gardner, Yossi Matias, Neil Rhodes, Misha Seltzer, Danny Tom, Hal R. Varian, Dan Zigmond:
Google's Auction for TV Ads. ICALP (2) 2009: 309-327 - [e2]Susanne Albers, Alberto Marchetti-Spaccamela, Yossi Matias, Sotiris E. Nikoletseas, Wolfgang Thomas:
Automata, Languages and Programming, 36th International Colloquium, ICALP 2009, Rhodes, Greece, July 5-12, 2009, Proceedings, Part I. Lecture Notes in Computer Science 5555, Springer 2009, ISBN 978-3-642-02926-4 [contents] - [e1]Susanne Albers, Alberto Marchetti-Spaccamela, Yossi Matias, Sotiris E. Nikoletseas, Wolfgang Thomas:
Automata, Languages and Programming, 36th Internatilonal Colloquium, ICALP 2009, Rhodes, Greece, July 5-12, 2009, Proceedings, Part II. Lecture Notes in Computer Science 5556, Springer 2009, ISBN 978-3-642-02929-5 [contents] - 2008
- [c73]Yossi Matias:
Cloud Computing - a new era in large scale information and data management systems. ADBIS (local proceedings) 2008: 2 - 2007
- [j35]Yossi Matias, Daniel Urieli:
Optimal workload-based weighted wavelet synopses. Theor. Comput. Sci. 371(3): 227-246 (2007) - [j34]Yossi Matias, Ely Porat:
Efficient pebbling for list traversal synopses with application to program rollback. Theor. Comput. Sci. 379(3): 418-436 (2007) - [c72]Yariv Matia, Yossi Matias:
Calibration and Profile based Synopses Error Estimation and Synopses Reconciliation. ICDE 2007: 446-455 - 2006
- [j33]Yossi Matias, Eran Segal, Jeffrey Scott Vitter:
Efficient Bundle Sorting. SIAM J. Comput. 36(2): 394-410 (2006) - [c71]Yossi Matias, Leon Portman, Natasha Drukh:
The Design and Architecture of the tau-Synopses System. EDBT 2006: 1088-1091 - [c70]Yariv Matia, Yossi Matias, Leon Portman:
Synopses Reconciliation Via Calibration in the tau-Synopses System. EDBT 2006: 1139-1142 - [c69]Yossi Matias, Daniel Urieli:
Inner-Product Based Wavelet Synopses for Range-Sum Queries. ESA 2006: 504-515 - [c68]Natasha Drukh, Yariv Matia, Yossi Matias, Leon Portman:
tau-xSynopses - a System for Run-Time Management of XML Synopses. NGITS 2006: 351-352 - [c67]Michael Furman, Yossi Matias, Ely Porat:
LTS: The List-Traversal Synopses System. NGITS 2006: 353-354 - [c66]Yossi Matias:
Trends in high performance analytics. SIGMOD Conference 2006: 720 - 2005
- [c65]Yossi Matias, Daniel Urieli:
Optimal Workload-Based Weighted Wavelet Synopses. ICDT 2005: 368-382 - [c64]Yossi Matias, R. Refua:
Delayed-dictionary compression for packet networks. INFOCOM 2005: 1443-1454 - [c63]Yossi Matias:
Data Streams and Data Synopses for Massive Data Sets. PKDD 2005: 8-9 - 2004
- [c62]Iftach Ragoler, Yossi Matias, Nimrod Aviram:
Adaptive Probing and Communication in Sensor Networks. ADHOC-NOW 2004: 280-293 - [c61]Yossi Matias, Leon Portman:
t-Synopses: A System for Run-Time Management of Remote Synopses. EDBT 2004: 865-867 - [c60]Yossi Matias, Leon Portman:
t-Synopses: A System for Run-Time Management of Remote Synopses. ICDE 2004: 864 - [c59]Natasha Drukh, Neoklis Polyzotis, Minos N. Garofalakis, Yossi Matias:
Fractional XSketch Synopses for XML Databases. XSym 2004: 189-203 - 2003
- [j32]Yossi Matias, Jeffrey Scott Vitter, Wen-Chun Ni:
Dynamic Generation of Discrete Random Variates. Theory Comput. Syst. 36(4): 329-358 (2003) - [c58]Yossi Matias, Ely Porat:
Efficient Pebbling for List Traversal Synopses. ICALP 2003: 918-928 - [c57]Saar Cohen, Yossi Matias:
Spectral Bloom Filters. SIGMOD Conference 2003: 241-252 - [i2]Yossi Matias, Ely Porat:
Efficient pebbling for list traversal synopses. CoRR cs.DS/0306104 (2003) - 2002
- [j31]Noga Alon, Phillip B. Gibbons, Yossi Matias, Mario Szegedy:
Tracking Join and Self-Join Sizes in Limited Storage. J. Comput. Syst. Sci. 64(3): 719-747 (2002) - [j30]Phillip B. Gibbons, Yossi Matias, Viswanath Poosala:
Fast incremental maintenance of approximate histograms. ACM Trans. Database Syst. 27(3): 261-298 (2002) - [j29]Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, Eytan Ruppin:
Placing search in context: the concept revisited. ACM Trans. Inf. Syst. 20(1): 116-131 (2002) - [c56]David Oren, Yossi Matias, Shmuel Sagiv:
Online Subpath Profiling. CC 2002: 78-94 - [i1]Yossi Matias, Jeffrey Scott Vitter, Neal E. Young:
Approximate Data Structures with Applications. CoRR cs.DS/0205010 (2002) - 2001
- [j28]Yossi Matias, Nasir M. Rajpoot, Süleyman Cenk Sahinalp:
The Effect of Flexible Parsing for Dynamic Dictionary-Based Data Compression. ACM J. Exp. Algorithmics 6: 10 (2001) - [c55]Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, Eytan Ruppin:
Placing search in context: the concept revisited. WWW 2001: 406-414 - 2000
- [j27]Revital Dafner, Daniel Cohen-Or, Yossi Matias:
Context-based Space Filling Curves. Comput. Graph. Forum 19(3): 209-218 (2000) - [j26]Thomas H. Cormen, Frank K. H. A. Dehne, Pierre Fraigniaud, Yossi Matias:
Guest Editors' Foreword. Theory Comput. Syst. 33(5/6): 335 (2000) - [c54]Z. Cohen, Yossi Matias, S. Muthukrishnan, Süleyman Cenk Sahinalp, Jacob Ziv:
On the temporal HZY compression scheme. SODA 2000: 185-186 - [c53]Yossi Matias, Eran Segal, Jeffrey Scott Vitter:
Efficient bundle sorting. SODA 2000: 839-848 - [c52]Yossi Matias, Jeffrey Scott Vitter, Min Wang:
Dynamic Maintenance of Wavelet-Based Histograms. VLDB 2000: 101-110
1990 – 1999
- 1999
- [j25]Micah Adler, Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
Modeling Parallel Bandwidth: Local versus Global Restrictions. Algorithmica 24(3-4): 381-404 (1999) - [j24]Eran Gabber, Phillip B. Gibbons, David M. Kristol, Yossi Matias, Alain J. Mayer:
Consistent, Yet Anonymous, Web Access with LPWA. Commun. ACM 42(2): 42-47 (1999) - [j23]Guy E. Blelloch, Phillip B. Gibbons, Yossi Matias:
Provably Efficient Scheduling for Languages with Fine-Grained Parallelism. J. ACM 46(2): 281-321 (1999) - [j22]Noga Alon, Yossi Matias, Mario Szegedy:
The Space Complexity of Approximating the Frequency Moments. J. Comput. Syst. Sci. 58(1): 137-147 (1999) - [j21]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
Can a Shared-Memory Model Serve as a Bridging Model for Parallel Computation? Theory Comput. Syst. 32(3): 327-359 (1999) - [j20]Leslie Ann Goldberg, Yossi Matias, Satish Rao:
An Optical Simulation of Shared Memory. SIAM J. Comput. 28(5): 1829-1847 (1999) - [j19]Eran Gabber, Phillip B. Gibbons, David M. Kristol, Yossi Matias, Alain J. Mayer:
On secure and pseudonymous client-relationships with multiple servers. ACM Trans. Inf. Syst. Secur. 2(4): 390-415 (1999) - [c51]Yossi Matias, Nasir M. Rajpoot, Süleyman Cenk Sahinalp:
The Effect of Flexible Parsing for Dynamic Dictionary Based Data Compression. Data Compression Conference 1999: 238-246 - [c50]Rakesh D. Barve, Phillip B. Gibbons, Bruce Hillyer, Yossi Matias, Elizabeth A. M. Shriver, Jeffrey Scott Vitter:
Round-Like Behavior in Multiple Disks on a Bus. IOPADS 1999: 1-9 - [c49]Noga Alon, Phillip B. Gibbons, Yossi Matias, Mario Szegedy:
Tracking Join and Self-Join Sizes in Limited Storage. PODS 1999: 10-20 - [c48]Rakesh D. Barve, Elizabeth A. M. Shriver, Phillip B. Gibbons, Bruce Hillyer, Yossi Matias, Jeffrey Scott Vitter:
Modeling and Optimizing I/O Throughput of Multiple Disks on a Bus. SIGMETRICS 1999: 83-92 - [c47]Phillip B. Gibbons, Yossi Matias:
Synopsis Data Structures for Massive Data Sets. SODA 1999: 909-910 - [c46]Yossi Matias, Süleyman Cenk Sahinalp:
On the Optimality of Parsing in Dynamic Dictionary Based Data Compression. SODA 1999: 943-944 - 1998
- [j18]Omer Berkman, Yossi Matias, Prabhakar Ragde:
Triply-Logarithmic Parallel Upper and Lower Bounds for Minimum and Range Minima over Small Domains. J. Algorithms 28(2): 197-215 (1998) - [j17]Joseph Gil, Yossi Matias:
Simple Fast Parallel Hashing by Oblivious Execution. SIAM J. Comput. 27(5): 1348-1375 (1998) - [j16]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
The Queue-Read Queue-Write PRAM Model: Accounting for Contention in Parallel Algorithms. SIAM J. Comput. 28(2): 733-769 (1998) - [j15]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
The Queue-Read Queue-Write Asynchronous PRAM Model. Theor. Comput. Sci. 196(1-2): 3-29 (1998) - [c45]Phillip B. Gibbons, Yossi Matias:
Synopsis data structures for massive data sets. External Memory Algorithms 1998: 39-70 - [c44]Yossi Matias, S. Muthukrishnan, Süleyman Cenk Sahinalp, Jacob Ziv:
Augmenting Suffix Trees, with Applications. ESA 1998: 67-78 - [c43]Eran Gabber, Markus Jakobsson, Yossi Matias, Alain J. Mayer:
Curbing Junk E-Mail via Secure Classification. Financial Cryptography 1998: 198-213 - [c42]Rakesh D. Barve, Elizabeth A. M. Shriver, Phillip B. Gibbons, Bruce Hillyer, Yossi Matias, Jeffrey Scott Vitter:
Modeling and Optimizing I/O Throughput of Multiple Disks on a Bus (Summary). SIGMETRICS 1998: 264-265 - [c41]Phillip B. Gibbons, Yossi Matias:
New Sampling-Based Summary Statistics for Improving Approximate Query Answers. SIGMOD Conference 1998: 331-342 - [c40]Yossi Matias, Jeffrey Scott Vitter, Min Wang:
Wavelet-Based Histograms for Selectivity Estimation. SIGMOD Conference 1998: 448-459 - [c39]Daniel Bleichenbacher, Eran Gabber, Phillip B. Gibbons, Yossi Matias, Alain J. Mayer:
On Secure and Pseudonymous Client-Relationships with Multiple Servers. USENIX Workshop on Electronic Commerce 1998 - [c38]Yossi Matias, Nasir M. Rajpoot, Süleyman Cenk Sahinalp:
Implementation and Experimental Evaluation of Flexible Parsing for Dynamic Dictionary Based Data Compression. WAE 1998: 49-61 - 1997
- [j14]Yossi Matias:
Parallel algorithms column: on the search for suitable models. SIGACT News 28(3): 21-29 (1997) - [j13]Guy E. Blelloch, Phillip B. Gibbons, Yossi Matias, Marco Zagha:
Accounting for Memory Bank Contention and Delay in High-Bandwidth Multiprocessors. IEEE Trans. Parallel Distributed Syst. 8(9): 943-958 (1997) - [c37]Eran Gabber, Phillip B. Gibbons, Yossi Matias, Alain J. Mayer:
How to Make Personalized Web Browising Simple, Secure, and Anonymous. Financial Cryptography 1997: 17-32 - [c36]Guy E. Blelloch, Phillip B. Gibbons, Girija J. Narlikar, Yossi Matias:
Space-Efficient Scheduling of Parallelism with Synchronization Variables. SPAA 1997: 12-23 - [c35]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
Can Shared-Memory Model Serve as a Bridging Model for Parallel Computation? SPAA 1997: 72-83 - [c34]Micah Adler, Phillip B. Gibbons, Vijaya Ramachandran, Yossi Matias:
Modeling Parallel Bandwidth: Local vs. Global Restrictions. SPAA 1997: 94-105 - [c33]Yossi Matias, Alain J. Mayer, Abraham Silberschatz:
Lightweight Security Primitives for E-Commerce. USENIX Symposium on Internet Technologies and Systems 1997 - [c32]Phillip B. Gibbons, Yossi Matias, Viswanath Poosala:
Fast Incremental Maintenance of Approximate Histograms. VLDB 1997: 466-475 - 1996
- [j12]Denise B. Kandel, Yossi Matias, Ron Unger, Peter Winkler:
Shuffling Biological Sequences. Discret. Appl. Math. 71(1-3): 171-185 (1996) - [j11]Regev Levi, Eytan Ruppin, Yossi Matias, James A. Reggia:
Frequency-Spatial Transformation: A Proposal for Parsimonious Intra-Cortical Communication. Int. J. Neural Syst. 7(5): 591-598 (1996) - [j10]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
Efficient Low-Contention Parallel Algorithms. J. Comput. Syst. Sci. 53(3): 417-442 (1996) - [j9]Joseph Gil, Yossi Matias:
An Effective Load Balancing Policy for Geometric-Decaying Algorithms. J. Parallel Distributed Comput. 36(2): 185-188 (1996) - [j8]Yossi Matias, Assaf Schuster:
Fast, Efficient Mutual and Self Simulations for Shared Memory and Reconfigurable Mesh. Parallel Algorithms Appl. 8(3-4): 195-221 (1996) - [c31]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
The Queue-Read Queue-Write Asynchronous PRAM Model. Euro-Par, Vol. II 1996: 279-292 - [c30]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
Asynchrony versus Bulk-Synchrony in QRQW PRAM model (Abstract). PODC 1996: 176 - [c29]Sumit Ganguly, Phillip B. Gibbons, Yossi Matias, Abraham Silberschatz:
Bifocal Sampling for Skew-Resistant Join Size Estimation. SIGMOD Conference 1996: 271-281 - [c28]Noga Alon, Yossi Matias, Mario Szegedy:
The Space Complexity of Approximating the Frequency Moments. STOC 1996: 20-29 - [c27]Christos Faloutsos, Yossi Matias, Abraham Silberschatz:
Modeling Skewed Distribution Using Multifractals and the '80-20' Law. VLDB 1996: 307-317 - 1995
- [j7]Samir Khuller, Yossi Matias:
A Simple Randomized Sieve Algorithm for the Closest-Pair Problem. Inf. Comput. 118(1): 34-37 (1995) - [j6]Omer Berkman, Yossi Matias:
Fast Parallel Algorithms for Minimum and Related Problems with Small Integer Inputs. Parallel Process. Lett. 5: 223-230 (1995) - [c26]Omer Berkman, Yossi Matias:
Fast parallel algorithms for minimum and related problems with small integer inputs. IPPS 1995: 203-207 - [c25]Yossi Matias, Uzi Vishkin:
A note on reducing parallel model simulations to integer sorting. IPPS 1995: 208-212 - [c24]Omer Berkman, Phillip B. Gibbons, Yossi Matias:
On the Power of Randomization for the Common PRAM. ISTCS 1995: 229-240 - [c23]Guy E. Blelloch, Phillip B. Gibbons, Yossi Matias:
Provably Efficient Scheduling for Languages with Fine-Grained Parallelism. SPAA 1995: 1-12 - [c22]Guy E. Blelloch, Phillip B. Gibbons, Yossi Matias, Marco Zagha:
Accounting for Memory Bank Contention and Delay in High-Bandwidth Multiprocessors. SPAA 1995: 84-94 - [c21]Yossi Matias, Assaf Schuster:
Fast, efficient mutual and self simulations for shared memory and reconfigurable mesh. SPDP 1995: 238-246 - 1994
- [j5]Yehuda Afek, Yossi Matias:
Elections in Anonymous Networks. Inf. Comput. 113(2): 312-330 (1994) - [j4]Joseph Gil, Yossi Matias:
Designing Algorithms by Expectations. Inf. Process. Lett. 51(1): 31-34 (1994) - [j3]Joseph Gil, Yossi Matias:
Fast and Efficient Simulations among CRCW PRAMs. J. Parallel Distributed Comput. 23(2): 135-148 (1994) - [c20]Joseph Gil, Yossi Matias:
Simple Fast Parallel Hashing. ICALP 1994: 239-250 - [c19]Yossi Matias, Jeffrey Scott Vitter, Neal E. Young:
Approximate Data Structures with Applications. SODA 1994: 187-194 - [c18]Michael T. Goodrich, Yossi Matias, Uzi Vishkin:
Optimal Parallel Approximation for Prefix Sums and Integer Sorting. SODA 1994: 241-250 - [c17]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
The QRQW PRAM: Accounting for Contention in Parallel Algorithms. SODA 1994: 638-648 - [c16]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
Efficient Low-Contention Parallel Algorithms. SPAA 1994: 236-247 - [c15]Leslie Ann Goldberg, Yossi Matias, Satish Rao:
An Optical Simulation of Shared Memory. SPAA 1994: 257-267 - 1993
- [c14]Yossi Matias:
Semi-dynamic Closest-pair Algorithms. CCCG 1993: 264-271 - [c13]Michael T. Goodrich, Yossi Matias, Uzi Vishkin:
Approximate Parallel Prefix Computation and its Applications. IPPS 1993: 318-325 - [c12]Yossi Matias, Jeffrey Scott Vitter, Wen-Chun Ni:
Dynamic Generation of Discrete Random Variates. SODA 1993: 361-370 - [c11]Omer Berkman, Yossi Matias, Prabhakar Ragde:
Triply-Logarithmic Upper and Lower Bounds for Minimum, Range Minima, and Related Problems with Integer Inputs. WADS 1993: 175-187 - 1992
- [j2]Omer Berkman, Yossi Matias, Uzi Vishkin:
Randomized Range-Maxima in Nearly-Constant Parallel Time. Comput. Complex. 2: 350-373 (1992) - [c10]Amihood Amir, Martin Farach, Yossi Matias:
Efficient Randomized Dictionary Matching Algorithms (Extended Abstract). CPM 1992: 262-275 - [c9]Martin Dietzfelbinger, Joseph Gil, Yossi Matias, Nicholas Pippenger:
Polynomial Hash Functions Are Reliable (Extended Abstract). ICALP 1992: 235-246 - [c8]Omer Berkman, Yossi Matias, Uzi Vishkin:
Randomized Range-Maxima inNearly-Constant Parallel Time. ISAAC 1992: 135-144 - [c7]Joseph Gil, Yossi Matias:
Leaders Election Without Conflict Resolution Rule - Fast and Efficient Randomized Simulations among CRCW PRAMs. LATIN 1992: 204-218 - 1991
- [j1]Yossi Matias, Uzi Vishkin:
On Parallel Hashing and Integer Sorting. J. Algorithms 12(4): 573-606 (1991) - [c6]Joseph Gil, Yossi Matias, Uzi Vishkin:
Towards a Theory of Nearly Constant Time Parallel Algorithms. FOCS 1991: 698-710 - [c5]Joseph Gil, Yossi Matias:
Fast Hashing on a PRAM - Designing by Expectation. SODA 1991: 271-280 - [c4]Yossi Matias, Uzi Vishkin:
Converting High Probability into Nearly-Constant Time-with Applications to Parallel Hashing (Extended Abstract). STOC 1991: 307-316 - 1990
- [c3]Yossi Matias, Uzi Vishkin:
On Parallel Hashing and Integer Sorting (Extended Summary). ICALP 1990: 729-743
1980 – 1989
- 1989
- [c2]Yossi Matias, Yehuda Afek:
Simple and Efficient Election Algorithms for Anonymous Networks. WDAG 1989: 183-194 - 1987
- [c1]Yossi Matias, Adi Shamir:
A Video Scrambling Technique Based On Space Filling Curves. CRYPTO 1987: 398-417
Coauthor Index
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