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ORCIDFelix Wang
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2020 – today
- 2024
[j6]Felix Wang
, Shruti R. Kulkarni, Bradley H. Theilman, Fredrick H. Rothganger, Catherine D. Schuman, Seung-Hwan Lim, James B. Aimone:
Scaling neural simulations in STACS. Neuromorph. Comput. Eng. 4(2): 24002 (2024)- [j5]Kristen Michaelson, Felix Wang, Renato Zanetti:
Terrain-Relative Navigation With Neuro-Inspired Elevation Encoding. IEEE Trans. Aerosp. Electron. Syst. 60(3): 3368-3378 (2024) - [c14]Shruti R. Kulkarni, Anika Tabassum, Seung-Hwan Lim, Catherine D. Schuman, Bradley H. Theilman, Fred Rothganger, Felix Wang, James B. Aimone:
Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning. NICE 2024: 1-7 - [i4]Daniel Bogdoll, Iramm Hamdard, Lukas Namgyu Rößler, Felix Geisler, Muhammed Bayram, Felix Wang, Jan Imhof, Miguel de Campos, Anushervon Tabarov, Yitian Yang, Hanno Gottschalk, J. Marius Zöllner:
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving. CoRR abs/2405.07865 (2024) - 2023
- [j4]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023) - [c13]Kristen Michaelson, Felix Wang, Renato Zanetti:
Terrain-Relative Navigation with Neuro-Inspired Elevation Encoding. PLANS 2023: 851-857 - [i3]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - [i2]Felix Wang:
Distributed Compressed Sparse Row Format for Spiking Neural Network Simulation, Serialization, and Interoperability. CoRR abs/2304.05587 (2023) - [i1]Bradley H. Theilman, Felix Wang, Fred Rothganger, James B. Aimone:
Decomposing spiking neural networks with Graphical Neural Activity Threads. CoRR abs/2306.16684 (2023) - 2022
- [j3]Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [c12]Felix Wang, Corinne Teeter, Sarah Luca, Srideep Musuvathy, James Bradley Aimone:
Distributed Localization with Grid-based Representations on Digital Elevation Models. ICONS 2022: 25:1-25:5 - [c11]Craig M. Vineyard, Suma Cardwell, Frances S. Chance, Srideep Musuvathy, Fred Rothganger, William Severa, John Darby Smith, Corinne Teeter, Felix Wang, James B. Aimone:
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight. NICE 2022: 40-49 - [c10]Felix Wang, Corinne Teeter, Sarah Luca, Srideep Musuvathy, Brad Aimone:
Localization through Grid-basedEncodings on Digital Elevation Models. NICE 2022: 67-69 - 2020
- [j2]Frances S. Chance, James B. Aimone, Srideep Musuvathy, Michael R. Smith, Craig M. Vineyard, Felix Wang:
Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence. Frontiers Comput. Neurosci. 14: 39 (2020) - [c9]Suma George Cardwell, Craig M. Vineyard, William Severa, Frances S. Chance, Fredrick H. Rothganger, Felix Wang, Srideep Musuvathy, Corinne Teeter, James B. Aimone:
Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC. SMC 2020: 349-365
2010 – 2019
- 2018
- [j1]Felix Wang, Tu-Thach Quach, Jason Wheeler, James B. Aimone, Conrad D. James:
Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification. IEEE Trans. Inf. Forensics Secur. 13(10): 2553-2562 (2018) - [c8]Ryan Budnick, Felix Wang:
Iambic Bias in Parsing Syllable Sequences by English Speakers. CogSci 2018 - 2017
- [c7]Aaron J. Hill, Jonathon W. Donaldson, Fredrick H. Rothganger, Craig M. Vineyard, David R. Follett, Pamela L. Follett, Michael R. Smith, Stephen J. Verzi, William Severa, Felix Wang, James B. Aimone, John H. Naegle, Conrad D. James:
A Spike-Timing Neuromorphic Architecture. ICRC 2017: 1-8 - 2015
- [c6]Felix Wang, Toben H. Mintz:
Characterizing the Difference Between Learning about Adjacent and Non-adjacent Dependencies. CogSci 2015 - [c5]Felix Wang, Toben H. Mintz:
Cross-situational Word Learning Results in Explicit Memory Representations. CogSci 2015 - [c4]Felix Wang, Mythili Menon, Elsi Kaiser:
Statistical Structures in Artificial languages Prime Relative Clause Attachment Biases in English. CogSci 2015 - [c3]Felix Wang:
Simulation Tool for Asynchronous Cortical Streams (STACS): Interfacing with Spiking Neural Networks. Complex Adaptive Systems 2015: 322-327 - 2013
- [c2]Felix Wang, Toben H. Mintz:
Word Segmentation Without Statistics. CogSci 2013 - [c1]Ian Karlin, Abhinav Bhatele, Jeff Keasler, Bradford L. Chamberlain, Jonathan D. Cohen, Zachary DeVito, Riyaz Haque, Dan Laney, Edward Luke, Felix Wang, David F. Richards, Martin Schulz, Charles H. Still:
Exploring Traditional and Emerging Parallel Programming Models Using a Proxy Application. IPDPS 2013: 919-932
Coauthor Index
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last updated on 2024-08-25 19:12 CEST by the dblp team
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