Sompolinsky, Haim

26 publications

ICLR 2025 When Narrower Is Better: The Narrow Width Limit of Bayesian Parallel Branching Neural Networks Zechen Zhang, Haim Sompolinsky

NeurIPS 2024 Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers Lorenzo Tiberi, Francesca Mignacco, Kazuki Irie, Haim Sompolinsky

NeurIPSW 2024 Diverse Capability and Scaling of Diffusion and Auto-Regressive Models When Learning Abstract Rules Binxu Wang, Jiaqi Shang, Haim Sompolinsky

NeurIPSW 2024 Neural Representational Geometry of Concepts in Large Language Models Linden Schrage, Kazuki Irie, Haim Sompolinsky

CPAL 2024 Probing Biological and Artificial Neural Networks with Task-Dependent Neural Manifolds Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung

NeurIPSW 2024 Robust Learning in Bayesian Parallel Branching Graph Neural Networks: The Narrow Width Limit Zechen Zhang, Haim Sompolinsky

NeurIPSW 2023 Error-Correcting Columnar Networks: High-Capacity Memory Under Sparse Connectivity Haozhe Shan, Ludovica Bachschmid-Romano, Haim Sompolinsky

NeurIPS 2022 A Theory of Weight Distribution-Constrained Learning Weishun Zhong, Ben Sorscher, Daniel D. Lee, Haim Sompolinsky

NeurIPS 2022 Globally Gated Deep Linear Networks Qianyi Li, Haim Sompolinsky

NeurIPS 2016 Optimal Architectures in a Solvable Model of Deep Networks Jonathan Kadmon, Haim Sompolinsky

NeurIPS 2010 Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics Kanaka Rajan, L Abbott, Haim Sompolinsky

NeurIPS 2010 Short-Term Memory in Neuronal Networks Through Dynamical Compressed Sensing Surya Ganguli, Haim Sompolinsky

NeCo 2004 Nonlinear Population Codes Maoz Shamir, Haim Sompolinsky

NeCo 2003 Rate Models for Conductance-Based Cortical Neuronal Networks Oren Shriki, David Hansel, Haim Sompolinsky

NeurIPS 2001 Correlation Codes in Neuronal Populations Maoz Shamir, Haim Sompolinsky

NeurIPS 2000 An Information Maximization Approach to Overcomplete and Recurrent Representations Oren Shriki, Haim Sompolinsky, Daniel D. Lee

NeurIPS 1999 Algorithms for Independent Components Analysis and Higher Order Statistics Daniel D. Lee, Uri Rokni, Haim Sompolinsky

NeCo 1998 Chaotic Balanced State in a Model of Cortical Circuits Carl van Vreeswijk, Haim Sompolinsky

NeurIPS 1998 Learning a Continuous Hidden Variable Model for Binary Data Daniel D. Lee, Haim Sompolinsky

NeurIPS 1998 The Effect of Correlations on the Fisher Information of Population Codes Hyoungsoo Yoon, Haim Sompolinsky

NeCo 1996 Neural Network Models of Perceptual Learning of Angle Discrimination Germán Mato, Haim Sompolinsky

NeCo 1994 Segmentation by a Network of Oscillators with Stored Memories Haim Sompolinsky, Michail Tsodyks

NeurIPS 1993 Correlation Functions in a Large Stochastic Neural Network Iris Ginzburg, Haim Sompolinsky

NeCo 1993 Stimulus-Dependent Synchronization of Neuronal Assemblies E. R. Grannan, D. Kleinfeld, Haim Sompolinsky

COLT 1992 Query by Committee H. Sebastian Seung, Manfred Opper, Haim Sompolinsky

COLT 1991 Learning Curves in Large Neural Networks H. Sebastian Seung, Haim Sompolinsky, Naftali Tishby