A graph-based approach to vehicle tracking in traffic camera video streams. - Hamid Haidarian Shahri; Galileo Namata; Saket Navlakha; Amol Deshpande; Nick Roussopoulos (DMSN, 2007)

Graph summarization with bounded error. - Saket Navlakha; Rajeev Rastogi; Nisheeth Shrivastava (SIGMOD Conference, 2008)

Revealing Biological Modules via Graph Summarization. - Saket Navlakha; Michael C. Schatz; Carl Kingsford (J. Comput. Biol., 2009)

Exploring Biological Network Dynamics with Ensembles of Graph Partitions. - Saket Navlakha; Carl Kingsford (Pacific Symposium on Biocomputing, 2010)

The power of protein interaction networks for associating genes with diseases. - Saket Navlakha; Carl Kingsford (Bioinform., 2010)

Alignment and clustering of phylogenetic markers - implications for microbial diversity studies. - James Robert White; Saket Navlakha; Niranjan Nagarajan; Mohammadreza Ghodsi; Carl Kingsford; Mihai Pop (BMC Bioinform., 2010)

Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information. - Saket Navlakha; James Robert White; Niranjan Nagarajan; Mihai Pop; Carl Kingsford (J. Comput. Biol., 2010)

Algorithms to Explore the Structure and Evolution of Biological Networks. - Saket Navlakha (2010)

Link Prediction for Annotation Graphs Using Graph Summarization. - Andreas Thor; Philip Anderson 003; Louiqa Raschid; Saket Navlakha; Barna Saha; Samir Khuller; Xiao-Ning Zhang (ISWC (1), 2011)

Network Archaeology: Uncovering Ancient Networks from Present-Day Interactions. - Saket Navlakha; Carl Kingsford (PLoS Comput. Biol., 2011)

Parsimonious reconstruction of network evolution. - Rob Patro; Emre Sefer; Justin Malin; Guillaume Marçais; Saket Navlakha; Carl Kingsford (Algorithms Mol. Biol., 2012)

A Network-based Approach for Predicting Missing Pathway Interactions. - Saket Navlakha; Anthony Gitter; Ziv Bar-Joseph (PLoS Comput. Biol., 2012)

A high-throughput framework to detect synapses in electron microscopy images. - Saket Navlakha; Joseph Suhan; Alison L. Barth; Ziv Bar-Joseph (Bioinform., 2013)

Unsupervised segmentation of noisy electron microscopy images using salient watersheds and region merging. - Saket Navlakha; Parvez Ahammad; Eugene W. Myers (BMC Bioinform., 2013)

Distributed information processing in biological and computational systems. - Saket Navlakha; Ziv Bar-Joseph (Commun. ACM, 2015)

MassExodus: modeling evolving networks in harsh environments. - Saket Navlakha; Christos Faloutsos; Ziv Bar-Joseph (Data Min. Knowl. Discov., 2015)

Decreasing-Rate Pruning Optimizes the Construction of Efficient and Robust Distributed Networks. - Saket Navlakha; Alison L. Barth; Ziv Bar-Joseph (PLoS Comput. Biol., 2015)

Distributed Gradient Descent in Bacterial Food Search. - Shashank Singh 005; Sabrina Rashid; Saket Navlakha; Ziv Bar-Joseph (RECOMB, 2016)

Learning the Structural Vocabulary of a Network. - Saket Navlakha (Neural Comput., 2017)

Using Inspiration from Synaptic Plasticity Rules to Optimize Traffic Flow in Distributed Engineered Networks. - Jonathan Y. Suen; Saket Navlakha (Neural Comput., 2017)

Improving Similarity Search with High-dimensional Locality-sensitive Hashing. - Jaiyam Sharma; Saket Navlakha (CoRR, 2018)

Evidence of Rentian Scaling of Functional Modules in Diverse Biological Networks. - Javier J. How; Saket Navlakha (Neural Comput., 2018)

A neural data structure for novelty detection. - Sanjoy Dasgupta; Timothy Sheehan; Charles F. Stevens; Saket Navlakha (Proc. Natl. Acad. Sci. USA, 2018)

Network trade-offs and homeostasis in Arabidopsis shoot architectures. - Adam Conn; Arjun Chandrasekhar; Martin van Rongen; Ottoline Leyser; Joanne Chory; Saket Navlakha (PLoS Comput. Biol., 2019)

A bacterial based distributed gradient descent model for mass scale evacuations. - Sabrina Rashid; Shashank Singh 005; Saket Navlakha; Ziv Bar-Joseph (Swarm Evol. Comput., 2019)

Plant 3D (P3D): a plant phenotyping toolkit for 3D point clouds. - Illia Ziamtsov; Saket Navlakha (Bioinform., 2020)

Habituation as a neural algorithm for online odor discrimination. - Yang Shen; Sanjoy Dasgupta; Saket Navlakha (Proc. Natl. Acad. Sci. USA, 2020)

Reply to Semelidou and Skoulakis: "Short-term" habituation has multiple distinct mechanisms. - Yang Shen; Sanjoy Dasgupta; Saket Navlakha (Proc. Natl. Acad. Sci. USA, 2020)

Can a Fruit Fly Learn Word Embeddings? - Yuchen Liang; Chaitanya K. Ryali; Benjamin Hoover; Leopold Grinberg; Saket Navlakha; Mohammed J. Zaki; Dmitry Krotov (ICLR, 2021)

Algorithmic insights on continual learning from fruit flies. - Yang Shen; Sanjoy Dasgupta; Saket Navlakha (CoRR, 2021)

A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks. - Yang Shen; Julia Wang; Saket Navlakha (Neural Comput., 2021)

Better tired than lost: Turtle ant trail networks favor coherence over short edges. - Arjun Chandrasekhar; James A. R. Marshall; Cortnea Austin; Saket Navlakha; Deborah M. Gordon (PLoS Comput. Biol., 2021)

Neural network features distinguish chemosensory stimuli in Caenorhabditis elegans. - Javier J. How; Saket Navlakha; Sreekanth H. Chalasani (PLoS Comput. Biol., 2021)

Branch-Pipe: Improving Graph Skeletonization around Branch Points in 3D Point Clouds. - Illia Ziamtsov; Kian Faizi; Saket Navlakha (Remote. Sens., 2021)

Special Issue: Biological Distributed Algorithms 2021. - Yuval Emek; Saket Navlakha (J. Comput. Biol., 2022)

Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies. - Yang Shen; Sanjoy Dasgupta; Saket Navlakha (Neural Comput., 2023)