David Lipshutz

According to our database, David Lipshutz authored at least 23 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

What Representational Similarity Measures Imply about Decodable Information.

Sarah E. Harvey, David Lipshutz, Alex H. Williams

Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, 2025

Comparing noisy neural population dynamics using optimal transport distances.

Amin Nejatbakhsh, Victor Geadah, Alex H. Williams, David Lipshutz

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Discriminating image representations with principal distortions.

Jenelle Feather, David Lipshutz, Sarah E. Harvey, Alex H. Williams, Eero P. Simoncelli

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Neuronal Temporal Filters as Normal Mode Extractors.

Siavash Golkar, Jules Berman, David Lipshutz, Robert Mihai Haret, Tim Gollisch, Dmitri B. Chklovskii

CoRR, 2024

Shaping the distribution of neural responses with interneurons in a recurrent circuit model.

David Lipshutz, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartment.

David Lipshutz, Aneesh Kashalikar, Shiva Farashahi, Dmitri B. Chklovskii

PLoS Comput. Biol., February, 2023

A normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity.

David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii

CoRR, 2023

Statistical whitening of neural populations with gain-modulating interneurons.

Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli

CoRR, 2023

Adaptive whitening with fast gain modulation and slow synaptic plasticity.

Lyndon R. Duong, Eero P. Simoncelli, Dmitri B. Chklovskii, David Lipshutz

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Whitening in Neural Populations with Gain-modulating Interneurons.

Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli

Proceedings of the International Conference on Machine Learning, 2023

Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation.

David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii

Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Online Algorithm for Contrastive Principal Component Analysis.

Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Biologically plausible single-layer networks for nonnegative independent component analysis.

David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii

Biol. Cybern., 2022

Biological Learning of Irreducible Representations of Commuting Transformations.

Alexander Genkin, David Lipshutz, Siavash Golkar, Tiberiu Tesileanu, Dmitri B. Chklovskii

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis.

David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii

Neural Comput., 2021

Sensitivity Analysis for the Stationary Distribution of Reflected Brownian Motion in a Convex Polyhedral Cone.

David Lipshutz, Kavita Ramanan

Math. Oper. Res., 2021

Heavy Traffic Limits for Join-the-Shortest-Estimated-Queue Policy Using Delayed Information.

Rami Atar, David Lipshutz

Math. Oper. Res., 2021

2020

A biologically plausible neural network for local supervision in cortical microcircuits.

Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii

CoRR, 2020

Bio-NICA: A biologically inspired single-layer network for Nonnegative Independent Component Analysis.

David Lipshutz, Dmitri B. Chklovskii

CoRR, 2020

A biologically plausible neural network for multi-channel Canonical Correlation Analysis.

David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii

CoRR, 2020

A Biologically Plausible Neural Network for Slow Feature Analysis.

David Lipshutz, Charles Windolf, Siavash Golkar, Dmitri B. Chklovskii

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A simple normative network approximates local non-Hebbian learning in the cortex.

Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2015

Existence, Uniqueness, and Stability of Slowly Oscillating Periodic Solutions for Delay Differential Equations with Nonnegativity Constraints.

David Lipshutz, Ruth J. Williams

SIAM J. Math. Anal., 2015