Saket Navlakha

According to our database, Saket Navlakha authored at least 36 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies.

Yang Shen, Sanjoy Dasgupta, Saket Navlakha

Neural Comput., November, 2023

2022

Special Issue: Biological Distributed Algorithms 2021.

Yuval Emek, Saket Navlakha

J. Comput. Biol., 2022

2021

Branch-Pipe: Improving Graph Skeletonization around Branch Points in 3D Point Clouds.

Illia Ziamtsov, Kian Faizi, Saket Navlakha

Remote. Sens., 2021

Neural network features distinguish chemosensory stimuli in Caenorhabditis elegans.

Javier J. How, Saket Navlakha, Sreekanth H. Chalasani

PLoS Comput. Biol., 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

A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks.

Yang Shen, Julia Wang, Saket Navlakha

Neural Comput., 2021

Algorithmic insights on continual learning from fruit flies.

Yang Shen, Sanjoy Dasgupta, Saket Navlakha

CoRR, 2021

Can a Fruit Fly Learn Word Embeddings?

Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Habituation as a neural algorithm for online odor discrimination.

Yang Shen, Sanjoy Dasgupta, Saket Navlakha

Proc. Natl. Acad. Sci. USA, 2020

Plant 3D (P3D): a plant phenotyping toolkit for 3D point clouds.

Illia Ziamtsov, Saket Navlakha

Bioinform., 2020

2019

A bacterial based distributed gradient descent model for mass scale evacuations.

Sabrina Rashid, Shashank Singh, Saket Navlakha, Ziv Bar-Joseph

Swarm Evol. Comput., 2019

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

2018

A neural data structure for novelty detection.

Sanjoy Dasgupta, Timothy Sheehan, Charles F. Stevens, Saket Navlakha

Proc. Natl. Acad. Sci. USA, 2018

Evidence of Rentian Scaling of Functional Modules in Diverse Biological Networks.

Javier J. How, Saket Navlakha

Neural Comput., 2018

Improving Similarity Search with High-dimensional Locality-sensitive Hashing.

Jaiyam Sharma, Saket Navlakha

CoRR, 2018

2017

Using Inspiration from Synaptic Plasticity Rules to Optimize Traffic Flow in Distributed Engineered Networks.

Jonathan Y. Suen, Saket Navlakha

Neural Comput., 2017

Learning the Structural Vocabulary of a Network.

Saket Navlakha

Neural Comput., 2017

2016

Distributed Gradient Descent in Bacterial Food Search.

Shashank Singh, Sabrina Rashid, Saket Navlakha, Ziv Bar-Joseph

Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016

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

MassExodus: modeling evolving networks in harsh environments.

Saket Navlakha, Christos Faloutsos, Ziv Bar-Joseph

Data Min. Knowl. Discov., 2015

Distributed information processing in biological and computational systems.

Saket Navlakha, Ziv Bar-Joseph

Commun. ACM, 2015

2013

Unsupervised segmentation of noisy electron microscopy images using salient watersheds and region merging.

Saket Navlakha, Parvez Ahammad, Eugene W. Myers

BMC Bioinform., 2013

A high-throughput framework to detect synapses in electron microscopy images.

Saket Navlakha, Joseph Suhan, Alison L. Barth, Ziv Bar-Joseph

Bioinform., 2013

2012

A Network-based Approach for Predicting Missing Pathway Interactions.

Saket Navlakha, Anthony Gitter, Ziv Bar-Joseph

PLoS Comput. Biol., 2012

Parsimonious reconstruction of network evolution.

Rob Patro, Emre Sefer, Justin Malin, Guillaume Marçais, Saket Navlakha, Carl Kingsford

Algorithms Mol. Biol., 2012

2011

Network Archaeology: Uncovering Ancient Networks from Present-Day Interactions.

Saket Navlakha, Carl Kingsford

PLoS Comput. Biol., 2011

Link Prediction for Annotation Graphs Using Graph Summarization.

Andreas Thor, Philip Anderson, Louiqa Raschid, Saket Navlakha, Barna Saha, Samir Khuller, Xiao-Ning Zhang

Proceedings of the Semantic Web - ISWC 2011, 2011

2010

Algorithms to Explore the Structure and Evolution of Biological Networks.

Saket Navlakha

PhD thesis, 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

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

The power of protein interaction networks for associating genes with diseases.

Saket Navlakha, Carl Kingsford

Bioinform., 2010

Exploring Biological Network Dynamics with Ensembles of Graph Partitions.

Saket Navlakha, Carl Kingsford

Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

2009

Revealing Biological Modules via Graph Summarization.

Saket Navlakha, Michael C. Schatz, Carl Kingsford

J. Comput. Biol., 2009

2008

Graph summarization with bounded error.

Saket Navlakha, Rajeev Rastogi, Nisheeth Shrivastava

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

2007

A graph-based approach to vehicle tracking in traffic camera video streams.

Hamid Haidarian Shahri, Galileo Namata, Saket Navlakha, Amol Deshpande, Nick Roussopoulos

Proceedings of the 4th Workshop on Data Management for Sensor Networks, 2007