David Lipshutz

31 papers A* 9Misc 1Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Global stability of a Hebbian/anti-Hebbian network for principal subspace learning. CoRR David Lipshutz, Robert J. Lipshutz
2025	A*	`conf`	Comparing noisy neural population dynamics using optimal transport distances. ICLR Amin Nejatbakhsh, Victor Geadah, Alex H. Williams, David Lipshutz
2025	A*	`conf`	Discriminating image representations with principal distortions. ICLR Jenelle Feather, David Lipshutz, Sarah E. Harvey, Alex H. Williams, Eero P. Simoncelli
2025	—	`conf`	What Representational Similarity Measures Imply about Decodable Information. UniReps Sarah E. Harvey, David Lipshutz, Alex H. Williams
2024	J	`jnl`	Discriminating image representations with principal distortions. CoRR Jenelle Feather, David Lipshutz, Sarah E. Harvey, Alex H. Williams, Eero P. Simoncelli
2024	J	`jnl`	Neuronal Temporal Filters as Normal Mode Extractors. CoRR Siavash Golkar, Jules Berman, David Lipshutz, Robert Mihai Haret, Tim Gollisch, Dmitri B. Chklovskii
2024	A*	`conf`	Shaping the distribution of neural responses with interneurons in a recurrent circuit model. NeurIPS David Lipshutz, Eero P. Simoncelli
2024	J	`jnl`	What Representational Similarity Measures Imply about Decodable Information. CoRR Sarah E. Harvey, David Lipshutz, Alex H. Williams
2023	J	`jnl`	A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartment. PLoS Comput. Biol. David Lipshutz, Aneesh Kashalikar, Shiva Farashahi, Dmitri B. Chklovskii
2023	J	`jnl`	A normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity. CoRR David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
2023	A*	`conf`	Adaptive Whitening in Neural Populations with Gain-modulating Interneurons. ICML Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli
2023	A*	`conf`	Adaptive whitening with fast gain modulation and slow synaptic plasticity. NeurIPS Lyndon R. Duong, Eero P. Simoncelli, Dmitri B. Chklovskii, David Lipshutz
2023	J	`jnl`	Adaptive whitening with fast gain modulation and slow synaptic plasticity. CoRR Lyndon R. Duong, Eero P. Simoncelli, Dmitri B. Chklovskii, David Lipshutz
2023	Misc	`conf`	An Online Algorithm for Contrastive Principal Component Analysis. ICASSP Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii
2023	A*	`conf`	Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation. ICLR David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii
2023	J	`jnl`	Statistical whitening of neural populations with gain-modulating interneurons. CoRR Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli
2022	J	`jnl`	An online algorithm for contrastive Principal Component Analysis. CoRR Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii
2022	A*	`conf`	Biological Learning of Irreducible Representations of Commuting Transformations. NeurIPS Alexander Genkin, David Lipshutz, Siavash Golkar, Tiberiu Tesileanu, Dmitri B. Chklovskii
2022	J	`jnl`	Biologically plausible single-layer networks for nonnegative independent component analysis. Biol. Cybern. David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii
2022	J	`jnl`	Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation. CoRR David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii
2021	J	`jnl`	A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis. Neural Comput. David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
2021	J	`jnl`	Heavy Traffic Limits for Join-the-Shortest-Estimated-Queue Policy Using Delayed Information. Math. Oper. Res. Rami Atar, David Lipshutz
2021	J	`jnl`	Sensitivity Analysis for the Stationary Distribution of Reflected Brownian Motion in a Convex Polyhedral Cone. Math. Oper. Res. David Lipshutz, Kavita Ramanan
2020	A*	`conf`	A Biologically Plausible Neural Network for Slow Feature Analysis. NeurIPS David Lipshutz, Charles Windolf, Siavash Golkar, Dmitri B. Chklovskii
2020	J	`jnl`	A biologically plausible neural network for Slow Feature Analysis. CoRR David Lipshutz, Charlie Windolf, Siavash Golkar, Dmitri B. Chklovskii
2020	J	`jnl`	A biologically plausible neural network for local supervision in cortical microcircuits. CoRR Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	J	`jnl`	A biologically plausible neural network for multi-channel Canonical Correlation Analysis. CoRR David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	A*	`conf`	A simple normative network approximates local non-Hebbian learning in the cortex. NeurIPS Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	J	`jnl`	A simple normative network approximates local non-Hebbian learning in the cortex. CoRR Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	J	`jnl`	Bio-NICA: A biologically inspired single-layer network for Nonnegative Independent Component Analysis. CoRR David Lipshutz, Dmitri B. Chklovskii
2015	J	`jnl`	Existence, Uniqueness, and Stability of Slowly Oscillating Periodic Solutions for Delay Differential Equations with Nonnegativity Constraints. SIAM J. Math. Anal. David Lipshutz, Ruth J. Williams