Seung, H. Sebastian

26 publications

IJCAI 2020 Reward Prediction Error as an Exploration Objective in Deep RL Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee

NeurIPS 2017 An Error Detection and Correction Framework for Connectomics Jonathan Zung, Ignacio Tartavull, Kisuk Lee, H. Sebastian Seung

NeurIPS 2016 Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks Noah Apthorpe, Alexander Riordan, Robert Aguilar, Jan Homann, Yi Gu, David Tank, H. Sebastian Seung

NeurIPS 2015 Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction Kisuk Lee, Aleksandar Zlateski, Vishwanathan Ashwin, H. Sebastian Seung

CVPR 2010 Boundary Learning by Optimization with Topological Constraints Viren Jain, Benjamin Bollmann, Mark Richardson, Daniel R. Berger, Moritz Helmstaedter, Kevin L. Briggman, Winfried Denk, Jared B. Bowden, John M. Mendenhall, Wickliffe C. Abraham, Kristen M. Harris, Narayanan Kasthuri, Ken J. Hayworth, Richard Schalek, Juan Carlos Tapia, Jeff W. Lichtman, H. Sebastian Seung

ICCV 2007 Supervised Learning of Image Restoration with Convolutional Networks Viren Jain, Joseph F. Murray, Fabian Roth, Srinivas C. Turaga, Valentin P. Zhigulin, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung

NeCo 2003 Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network Xiaohui Xie, H. Sebastian Seung

NeCo 2003 Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks Richard H. R. Hahnloser, H. Sebastian Seung, Jean-Jacques E. Slotine

NeCo 2002 Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung

NeurIPS 2000 Algorithms for Non-Negative Matrix Factorization Daniel D. Lee, H. Sebastian Seung

NeurIPS 2000 Learning Winner-Take-All Competition Between Groups of Neurons in Lateral Inhibitory Networks Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung

NeurIPS 2000 Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks Richard H. R. Hahnloser, H. Sebastian Seung

NeurIPS 1999 Spike-Based Learning Rules and Stabilization of Persistent Neural Activity Xiaohui Xie, H. Sebastian Seung

NeurIPS 1997 Learning Continuous Attractors in Recurrent Networks H. Sebastian Seung

NeurIPS 1997 Learning Generative Models with the up Propagation Algorithm Jong-Hoon Oh, H. Sebastian Seung

NeurIPS 1997 Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks H. Sebastian Seung, Tom J. Richardson, J. C. Lagarias, John J. Hopfield

MLJ 1997 Selective Sampling Using the Query by Committee Algorithm Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby

NeurIPS 1997 The Rectified Gaussian Distribution Nicholas D. Socci, Daniel D. Lee, H. Sebastian Seung

MLJ 1996 Rigorous Learning Curve Bounds from Statistical Mechanics David Haussler, Michael J. Kearns, H. Sebastian Seung, Naftali Tishby

NeurIPS 1996 Unsupervised Learning by Convex and Conic Coding Daniel D. Lee, H. Sebastian Seung

MLJ 1995 Learning from a Population of Hypotheses Michael J. Kearns, H. Sebastian Seung

COLT 1994 Rigorous Learning Curve Bounds from Statistical Mechanics David Haussler, H. Sebastian Seung, Michael J. Kearns, Naftali Tishby

COLT 1993 Learning from a Population of Hypotheses Michael J. Kearns, H. Sebastian Seung

NeurIPS 1992 Information, Prediction, and Query by Committee Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby

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