H. Sebastian Seung

95 papers A* 9A 6Misc 1Journal 51Unranked 28

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization. CoRR Kyle Luther, H. Sebastian Seung
2023	J	`jnl`	Stretched sinograms for limited-angle tomographic reconstruction with neural networks. CoRR Kyle L. Luther, H. Sebastian Seung
2022	A*	`conf`	Kernel similarity matching with Hebbian networks. NeurIPS Kyle Luther, H. Sebastian Seung
2022	J	`jnl`	Kernel similarity matching with Hebbian neural networks. CoRR Kyle Luther, H. Sebastian Seung
2022	J	`jnl`	RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations. Frontiers Neuroinformatics Jingpeng Wu, Nicholas L. Turner, J. Alexander Bae, Ashwin Vishwanathan, H. Sebastian Seung
2022	J	`jnl`	Sensitivity of Sparse Codes to Image Distortions. Neural Comput. Kyle Luther, H. Sebastian Seung
2022	J	`jnl`	Sensitivity of sparse codes to image distortions. CoRR Kyle Luther, H. Sebastian Seung
2022	J	`jnl`	Stacked unsupervised learning with a network architecture found by supervised meta-learning. CoRR Kyle Luther, H. Sebastian Seung
2021	J	`jnl`	Large-scale image segmentation based on distributed clustering algorithms. CoRR Ran Lu, Aleksandar Zlateski, H. Sebastian Seung
2021	J	`jnl`	Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction. IEEE Trans. Medical Imaging Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung
2020	A	`conf`	Acoustic Collision Detection and Localization for Robot Manipulators. IROS Xiaoran Fan, Daewon Lee, Yuan Chen, Colin Prepscius, Volkan Isler, Larry D. Jackel, H. Sebastian Seung, Daniel D. Lee
2020	—	`conf`	Caesar: Segment-Wise Alignment Method for Solving Discontinuous Deformations. ISBI Sergiy Popovych, J. Alexander Bae, H. Sebastian Seung
2020	A*	`conf`	Reward Prediction Error as an Exploration Objective in Deep RL. IJCAI Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
2020	—	`conf`	Synaptic Partner Assignment Using Attentional Voxel Association Networks. ISBI Nicholas L. Turner, Kisuk Lee, Ran Lu, Jingpeng Wu, Dodam Ih, H. Sebastian Seung
2019	J	`jnl`	Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional Nets. CoRR Jingpeng Wu, William M. Silversmith, H. Sebastian Seung
2019	J	`jnl`	Convergence of gradient descent-ascent analyzed as a Newtonian dynamical system with dissipation. CoRR H. Sebastian Seung
2019	J	`jnl`	Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy. CoRR Kisuk Lee, Nicholas L. Turner, Thomas Macrina, Jingpeng Wu, Ran Lu, H. Sebastian Seung
2019	J	`jnl`	Learning Dense Voxel Embeddings for 3D Neuron Reconstruction. CoRR Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung
2019	J	`jnl`	Learning Metric Graphs for Neuron Segmentation In Electron Microscopy Images. CoRR Kyle Luther, H. Sebastian Seung
2019	—	`conf`	Learning Metric Graphs for Neuron Segmentation in Electron Microscopy Images. ISBI Kyle Luther, H. Sebastian Seung
2019	—	`conf`	PZnet: Efficient 3D ConvNet Inference on Manycore CPUs. CVC (1) Sergiy Popovych, Davit Buniatyan, Aleksandar Zlateski, Kai Li, H. Sebastian Seung
2019	J	`jnl`	PZnet: Efficient 3D ConvNet Inference on Manycore CPUs. CoRR Sergiy Popovych, Davit Buniatyan, Aleksandar Zlateski, Kai Li, H. Sebastian Seung
2019	A	`conf`	Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner. IROS Tarik Tosun, Eric Mitchell, Ben Eisner, Jinwook Huh, Bhoram Lee, Daewon Lee, Volkan Isler, H. Sebastian Seung, Daniel D. Lee
2019	J	`jnl`	Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner. CoRR Tarik Tosun, Eric Mitchell, Ben Eisner, Jinwook Huh, Bhoram Lee, Daewon Lee, Volkan Isler, H. Sebastian Seung, Daniel D. Lee
2019	J	`jnl`	Q-Learning for Continuous Actions with Cross-Entropy Guided Policies. CoRR Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
2019	J	`jnl`	QXplore: Q-learning Exploration by Maximizing Temporal Difference Error. CoRR Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
2019	—	`conf`	Reconstructing Neuronal Anatomy from Whole-Brain Images. ISBI James Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan, Nicholas L. Turner, Kisuk Lee, H. Sebastian Seung, Pavel Osten, Uygar Sümbül
2019	J	`jnl`	Reconstructing neuronal anatomy from whole-brain images. CoRR James Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan, Nicholas L. Turner, Kisuk Lee, H. Sebastian Seung, Pavel Osten, Uygar Sümbül
2019	J	`jnl`	Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision. CoRR Eric Mitchell, Stefan Keselj, Sergiy Popovych, Davit Buniatyan, H. Sebastian Seung
2019	J	`jnl`	Synaptic Partner Assignment Using Attentional Voxel Association Networks. CoRR Nicholas L. Turner, Kisuk Lee, Ran Lu, Jingpeng Wu, Dodam Ih, H. Sebastian Seung
2019	Misc	`conf`	Unsupervised learning by a "softened" correlation game: duality and convergence. ACSSC Kyle L. Luther, Runzhe Yang, H. Sebastian Seung
2019	J	`jnl`	Variance-Preserving Initialization Schemes Improve Deep Network Training: But Which Variance is Preserved? CoRR Kyle Luther, H. Sebastian Seung
2019	—	`conf`	Weakly Supervised Deep Metric Learning for Template Matching. CVC (1) Davit Buniatyan, Sergiy Popovych, Dodam Ih, Thomas Macrina, Jonathan Zung, H. Sebastian Seung
2018	J	`jnl`	Program Synthesis Through Reinforcement Learning Guided Tree Search. CoRR Riley Simmons-Edler, Anders Miltner, H. Sebastian Seung
2018	J	`jnl`	Two "correlation games" for a nonlinear network with Hebbian excitatory neurons and anti-Hebbian inhibitory neurons. CoRR H. Sebastian Seung
2018	J	`jnl`	Unsupervised learning by a nonlinear network with Hebbian excitatory and anti-Hebbian inhibitory neurons. CoRR H. Sebastian Seung
2017	J	`jnl`	A correlation game for unsupervised learning yields computational interpretations of Hebbian excitation, anti-Hebbian inhibition, and synapse elimination. CoRR H. Sebastian Seung, Jonathan Zung
2017	—	`conf`	An Error Detection and Correction Framework for Connectomics. NIPS Jonathan Zung, Ignacio Tartavull, Kisuk Lee, H. Sebastian Seung
2017	J	`jnl`	An Error Detection and Correction Framework for Connectomics. CoRR Jonathan Zung, Ignacio Tartavull, H. Sebastian Seung
2017	A	`conf`	Compile-time optimized and statically scheduled N-D convnet primitives for multi-core and many-core (Xeon Phi) CPUs. ICS Aleksandar Zlateski, H. Sebastian Seung
2017	J	`jnl`	Deep Learning Improves Template Matching by Normalized Cross Correlation. CoRR Davit Buniatyan, Thomas Macrina, Dodam Ih, Jonathan Zung, H. Sebastian Seung
2017	J	`jnl`	Scalable training of 3D convolutional networks on multi- and many-cores. J. Parallel Distributed Comput. Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung
2017	J	`jnl`	Superhuman Accuracy on the SNEMI3D Connectomics Challenge. CoRR Kisuk Lee, Jonathan Zung, Peter Li, Viren Jain, H. Sebastian Seung
2017	J	`jnl`	Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification. Bioinform. Ignacio Arganda-Carreras, Verena Kaynig, Curtis Rueden, Kevin W. Eliceiri, Johannes E. Schindelin, Albert Cardona, H. Sebastian Seung
2016	—	`conf`	Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks. NIPS Noah J. Apthorpe, Alexander J. Riordan, Rob E. Aguilar, Jan Homann, Yi Gu, David W. Tank, H. Sebastian Seung
2016	J	`jnl`	Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks. CoRR Noah J. Apthorpe, Alexander J. Riordan, Rob E. Aguilar, Jan Homann, Yi Gu, David W. Tank, H. Sebastian Seung
2016	A	`conf`	ZNN SC Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung
2016	A	`conf`	ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-core and Many-Core Shared Memory Machines. IPDPS Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung
2016	J	`jnl`	ZNNi - Maximizing the Inference Throughput of 3D Convolutional Networks on Multi-Core CPUs and GPUs. CoRR Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung
2015	J	`jnl`	Image Segmentation by Size-Dependent Single Linkage Clustering of a Watershed Basin Graph. CoRR Aleksandar Zlateski, H. Sebastian Seung
2015	J	`jnl`	Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection. CoRR Kisuk Lee, Aleksandar Zlateski, Ashwin Vishwanathan, H. Sebastian Seung
2015	—	`conf`	Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction. NIPS Kisuk Lee, Aleksandar Zlateski, Ashwin Vishwanathan, H. Sebastian Seung
2015	J	`jnl`	ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines. CoRR Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung
2011	—	`conf`	Learning to Agglomerate Superpixel Hierarchies. NIPS Viren Jain, Srinivas C. Turaga, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung
2010	A*	`conf`	Boundary Learning by Optimization with Topological Constraints. CVPR 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
2010	J	`jnl`	Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation. Neural Comput. Srinivas C. Turaga, Joseph F. Murray, Viren Jain, Fabian Roth, Moritz Helmstaedter, Kevin L. Briggman, Winfried Denk, H. Sebastian Seung
2009	J	`jnl`	Maximin affinity learning of image segmentation CoRR Srinivas C. Turaga, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung
2009	—	`conf`	Maximin affinity learning of image segmentation. NIPS Srinivas C. Turaga, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung
2009	J	`jnl`	Operant Matching as a Nash Equilibrium of an Intertemporal Game. Neural Comput. Yonatan Loewenstein, Drazen Prelec, H. Sebastian Seung
2008	—	`conf`	Natural Image Denoising with Convolutional Networks. NIPS Viren Jain, H. Sebastian Seung
2007	J	`jnl`	Intrinsic bursting enhances the robustness of a neural network model of sequence generation by avian brain area HVC. J. Comput. Neurosci. Dezhe Z. Jin, Fethi M. Ramazanoglu, H. Sebastian Seung
2007	A*	`conf`	Supervised Learning of Image Restoration with Convolutional Networks. ICCV Viren Jain, Joseph F. Murray, Fabian Roth, Srinivas C. Turaga, Valentin P. Zhigulin, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung
2006	J	`jnl`	Neural voting machines. Neural Networks Whitman Richards, H. Sebastian Seung, Galen Pickard
2005	J	`jnl`	Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks. Neural Comput. Justin Werfel, Xiaohui Xie, H. Sebastian Seung
2005	—	`conf`	Representing Part-Whole Relationships in Recurrent Neural Networks. NIPS Viren Jain, Valentin P. Zhigulin, H. Sebastian Seung
2004	A*	`conf`	Actuating a Simple 3D Passive Dynamic Walker. ICRA Russ Tedrake, Teresa Weirui Zhang, Ming-fai Fong, H. Sebastian Seung
2004	J	`jnl`	BCI competition 2003-data set Ia: combining gamma-band power with slow cortical potentials to improve single-trial classification of electroencephalographic signals. IEEE Trans. Biomed. Eng. Brett D. Mensh, Justin Werfel, H. Sebastian Seung
2004	A	`conf`	Stochastic policy gradient reinforcement learning on a simple 3D biped. IROS Russ Tedrake, Teresa Weirui Zhang, H. Sebastian Seung
2003	J	`jnl`	Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network. Neural Comput. Xiaohui Xie, H. Sebastian Seung
2003	—	`conf`	Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks. NIPS Justin Werfel, Xiaohui Xie, H. Sebastian Seung
2003	J	`jnl`	Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks. Neural Comput. Richard H. R. Hahnloser, H. Sebastian Seung, Jean-Jacques E. Slotine
2002	J	`jnl`	Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition. Neural Comput. Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung
2001	—	`conf`	A theory of neural integration in the head-direction system. NIPS Richard H. R. Hahnloser, Xiaohui Xie, H. Sebastian Seung
2000	—	`conf`	Algorithms for Non-negative Matrix Factorization. NIPS Daniel D. Lee, H. Sebastian Seung
2000	—	`conf`	Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks. NIPS Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung
2000	—	`conf`	Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks. NIPS Richard H. R. Hahnloser, H. Sebastian Seung
2000	J	`jnl`	The Autapse: A Simple Illustration of Short-Term Analog Memory Storage by Tuned Synaptic Feedback. J. Comput. Neurosci. H. Sebastian Seung, Daniel D. Lee, Ben Y. Reis, David W. Tank
1999	—	`conf`	Learning in Intelligent Embedded Systems. USENIX Workshop on Embedded Systems Daniel D. Lee, H. Sebastian Seung
1999	—	`conf`	Spike-based Learning Rules and Stabilization of Persistent Neural Activity. NIPS Xiaohui Xie, H. Sebastian Seung
1998	J	`jnl`	Continuous attractors and oculomotor control. Neural Networks H. Sebastian Seung
1997	—	`conf`	A Neural Network Based Head Tracking System. NIPS Daniel D. Lee, H. Sebastian Seung
1997	—	`conf`	Learning Continuous Attractors in Recurrent Networks. NIPS H. Sebastian Seung
1997	—	`conf`	Learning Generative Models with the Up-Propagation Algorithm. NIPS Jong-Hoon Oh, H. Sebastian Seung
1997	—	`conf`	Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks. NIPS H. Sebastian Seung, Tom J. Richardson, J. C. Lagarias, John J. Hopfield
1997	J	`jnl`	Selective Sampling Using the Query by Committee Algorithm. Mach. Learn. Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby
1997	—	`conf`	The Rectified Gaussian Distribution. NIPS Nicholas D. Socci, Daniel D. Lee, H. Sebastian Seung
1996	J	`jnl`	Rigorous Learning Curve Bounds from Statistical Mechanics. Mach. Learn. David Haussler, Michael J. Kearns, H. Sebastian Seung, Naftali Tishby
1996	—	`conf`	Unsupervised Learning by Convex and Conic Coding. NIPS Daniel D. Lee, H. Sebastian Seung
1995	J	`jnl`	Learning from a Population of Hypotheses. Mach. Learn. Michael J. Kearns, H. Sebastian Seung
1994	—	`conf`	On-line Learning of Dichotomies. NIPS N. Barkai, H. Sebastian Seung, Haim Sompolinsky
1994	A*	`conf`	Rigorous Learning Curve Bounds from Statistical Mechanics. COLT David Haussler, H. Sebastian Seung, Michael J. Kearns, Naftali Tishby
1993	A*	`conf`	Learning from a Population of Hypotheses. COLT Michael J. Kearns, H. Sebastian Seung
1992	—	`conf`	Information, Prediction, and Query by Committee. NIPS Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby
1992	A*	`conf`	Query by Committee. COLT H. Sebastian Seung, Manfred Opper, Haim Sompolinsky
1991	A*	`conf`	Learning Curves in Large Neural Networks. COLT H. Sebastian Seung, Haim Sompolinsky, Naftali Tishby