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ORCIDSaket Navlakha
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2020 – today
- 2023
[j27]Yang Shen, Sanjoy Dasgupta, Saket Navlakha:
Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies. Neural Comput. 35(11): 1797-1819 (2023)- 2022
- [j26]Yuval Emek, Saket Navlakha:
Special Issue: Biological Distributed Algorithms 2021. J. Comput. Biol. 29(4): 305 (2022) - 2021
- [j25]Yang Shen, Julia Wang, Saket Navlakha:
A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks. Neural Comput. 33(12): 3179-3203 (2021) - [j24]Arjun Chandrasekhar, James A. R. Marshall
, Cortnea Austin, Saket Navlakha, Deborah M. Gordon:
Better tired than lost: Turtle ant trail networks favor coherence over short edges. PLoS Comput. Biol. 17(10) (2021) - [j23]Javier J. How, Saket Navlakha, Sreekanth H. Chalasani:
Neural network features distinguish chemosensory stimuli in Caenorhabditis elegans. PLoS Comput. Biol. 17(11) (2021) - [j22]Illia Ziamtsov, Kian Faizi, Saket Navlakha:
Branch-Pipe: Improving Graph Skeletonization around Branch Points in 3D Point Clouds. Remote. Sens. 13(19): 3802 (2021) - [c8]Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov:
Can a Fruit Fly Learn Word Embeddings? ICLR 2021 - [i5]Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov:
Can a Fruit Fly Learn Word Embeddings? CoRR abs/2101.06887 (2021) - [i4]Yang Shen, Sanjoy Dasgupta, Saket Navlakha:
Algorithmic insights on continual learning from fruit flies. CoRR abs/2107.07617 (2021) - 2020
- [j21]Illia Ziamtsov, Saket Navlakha:
Plant 3D (P3D): a plant phenotyping toolkit for 3D point clouds. Bioinform. 36(12): 3949-3950 (2020) - [j20]Yang Shen, Sanjoy Dasgupta, Saket Navlakha:
Habituation as a neural algorithm for online odor discrimination. Proc. Natl. Acad. Sci. USA 117(22): 12402-12410 (2020) - [j19]Yang Shen, Sanjoy Dasgupta, Saket Navlakha:
Reply to Semelidou and Skoulakis: "Short-term" habituation has multiple distinct mechanisms. Proc. Natl. Acad. Sci. USA 117(34): 20373-20374 (2020)
2010 – 2019
- 2019
- [j18]Adam Conn, Arjun Chandrasekhar, Martin van Rongen, Ottoline Leyser, Joanne Chory, Saket Navlakha:
Network trade-offs and homeostasis in Arabidopsis shoot architectures. PLoS Comput. Biol. 15(9) (2019) - [j17]Sabrina Rashid, Shashank Singh, Saket Navlakha, Ziv Bar-Joseph:
A bacterial based distributed gradient descent model for mass scale evacuations. Swarm Evol. Comput. 46: 97-103 (2019) - 2018
- [j16]Javier J. How, Saket Navlakha:
Evidence of Rentian Scaling of Functional Modules in Diverse Biological Networks. Neural Comput. 30(8) (2018) - [j15]Sanjoy Dasgupta, Timothy Sheehan, Charles F. Stevens, Saket Navlakha:
A neural data structure for novelty detection. Proc. Natl. Acad. Sci. USA 115(51): 13093-13098 (2018) - [i3]Jaiyam Sharma, Saket Navlakha:
Improving Similarity Search with High-dimensional Locality-sensitive Hashing. CoRR abs/1812.01844 (2018) - 2017
- [j14]Saket Navlakha:
Learning the Structural Vocabulary of a Network. Neural Comput. 29(2): 287-312 (2017) - [j13]Jonathan Y. Suen, Saket Navlakha:
Using Inspiration from Synaptic Plasticity Rules to Optimize Traffic Flow in Distributed Engineered Networks. Neural Comput. 29(5): 1204-1228 (2017) - 2016
- [c7]Shashank Singh, Sabrina Rashid, Saket Navlakha, Ziv Bar-Joseph:
Distributed Gradient Descent in Bacterial Food Search. RECOMB 2016: 259-260 - [i2]Jonathan Y. Suen, Saket Navlakha:
Using inspiration from synaptic plasticity rules to optimize traffic flow in distributed engineered networks. CoRR abs/1611.06937 (2016) - 2015
- [j12]Saket Navlakha, Ziv Bar-Joseph:
Distributed information processing in biological and computational systems. Commun. ACM 58(1): 94-102 (2015) - [j11]Saket Navlakha, Christos Faloutsos, Ziv Bar-Joseph:
MassExodus: modeling evolving networks in harsh environments. Data Min. Knowl. Discov. 29(5): 1211-1232 (2015) - [j10]Saket Navlakha, Alison L. Barth, Ziv Bar-Joseph:
Decreasing-Rate Pruning Optimizes the Construction of Efficient and Robust Distributed Networks. PLoS Comput. Biol. 11(7) (2015) - 2013
- [j9]Saket Navlakha, Joseph Suhan, Alison L. Barth, Ziv Bar-Joseph:
A high-throughput framework to detect synapses in electron microscopy images. Bioinform. 29(13): 9-17 (2013) - [j8]Saket Navlakha, Parvez Ahammad, Eugene W. Myers:
Unsupervised segmentation of noisy electron microscopy images using salient watersheds and region merging. BMC Bioinform. 14: 294 (2013) - 2012
- [j7]Rob Patro, Emre Sefer, Justin Malin, Guillaume Marçais, Saket Navlakha, Carl Kingsford:
Parsimonious reconstruction of network evolution. Algorithms Mol. Biol. 7: 25 (2012) - [j6]Saket Navlakha, Anthony Gitter, Ziv Bar-Joseph:
A Network-based Approach for Predicting Missing Pathway Interactions. PLoS Comput. Biol. 8(8) (2012) - 2011
- [j5]Saket Navlakha, Carl Kingsford:
Network Archaeology: Uncovering Ancient Networks from Present-Day Interactions. PLoS Comput. Biol. 7(4) (2011) - [c6]Andreas Thor, Philip Anderson, Louiqa Raschid, Saket Navlakha, Barna Saha, Samir Khuller, Xiao-Ning Zhang:
Link Prediction for Annotation Graphs Using Graph Summarization. ISWC (1) 2011: 714-729 - [c5]Rob Patro, Emre Sefer, Justin Malin, Guillaume Marçais, Saket Navlakha, Carl Kingsford:
Parsimonious Reconstruction of Network Evolution. WABI 2011: 237-249 - 2010
- [b1]Saket Navlakha:
Algorithms to Explore the Structure and Evolution of Biological Networks. University of Maryland, College Park, MD, USA, 2010 - [j4]Saket Navlakha, Carl Kingsford:
The power of protein interaction networks for associating genes with diseases. Bioinform. 26(8): 1057-1063 (2010) - [j3]James Robert White, Saket Navlakha, Niranjan Nagarajan, Mohammadreza Ghodsi, Carl Kingsford, Mihai Pop:
Alignment and clustering of phylogenetic markers - implications for microbial diversity studies. BMC Bioinform. 11: 152 (2010) - [j2]Saket Navlakha, James Robert White, Niranjan Nagarajan, Mihai Pop, Carl Kingsford:
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information. J. Comput. Biol. 17(3): 503-516 (2010) - [c4]Saket Navlakha, Carl Kingsford:
Exploring Biological Network Dynamics with Ensembles of Graph Partitions. Pacific Symposium on Biocomputing 2010: 166-177 - [i1]Saket Navlakha, Carl Kingsford:
Network Archaeology: Uncovering Ancient Networks from Present-day Interactions. CoRR abs/1008.5166 (2010)
2000 – 2009
- 2009
- [j1]Saket Navlakha, Michael C. Schatz, Carl Kingsford:
Revealing Biological Modules via Graph Summarization. J. Comput. Biol. 16(2): 253-264 (2009) - [c3]Saket Navlakha, James Robert White, Niranjan Nagarajan, Mihai Pop, Carl Kingsford:
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information. RECOMB 2009: 400-417 - 2008
- [c2]Saket Navlakha, Rajeev Rastogi, Nisheeth Shrivastava:
Graph summarization with bounded error. SIGMOD Conference 2008: 419-432 - 2007
- [c1]Hamid Haidarian Shahri, Galileo Namata, Saket Navlakha, Amol Deshpande, Nick Roussopoulos:
A graph-based approach to vehicle tracking in traffic camera video streams. DMSN 2007: 19-24
Coauthor Index
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