Surya Ganguli

Surya Ganguli, Stephen I. Ryu, Krishna V. Shenoy, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel pdf

Surya Ganguli, Gintare Karolina Dziugaite, Daniel M. Roy, 2020, NeurIPS.

Statistical Mechanics of Deep Learning

Surya Ganguli, Jascha Sohl-Dickstein, Samuel S. Schoenholz, 2020, Annual Review of Condensed Matter Physics.

Function constrains network architecture and dynamics: a case study on the yeast cell cycle Boolean network.

Surya Ganguli, Chao Tang, Kai-Yeung Lau, 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

An Evolving-Dynamic Network Activity Approach to Epileptic Seizure Prediction using Machine Learning

Surya Ganguli, John Huguenard, Jordan M. Sorokin, 2020, bioRxiv.

A unified theory for the origin of grid cells through the lens of pattern formation

Surya Ganguli, Samuel A. Ocko, Gabriel C. Mel, 2019, NeurIPS.

Short-term memory in neuronal networks through dynamical compressed sensing

Surya Ganguli, Haim Sompolinsky, H. Sompolinsky, 2010, NIPS.

Unsupervised discovery of demixed, low-dimensional neural dynamics across multiple timescales through tensor components analysis

Tamara G. Kolda, Surya Ganguli, Stephen I. Ryu, 2017, bioRxiv.

Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net

Surya Ganguli, Yoshua Bengio, Anirudh Goyal, 2017, NIPS.

Deep Information Propagation pdf

Surya Ganguli, Jascha Sohl-Dickstein, Samuel S. Schoenholz, 2016, ICLR.

Improved multitask learning through synaptic intelligence pdf

Surya Ganguli, Ben Poole, Friedemann Zenke, 2017, ArXiv.

A universal tradeoff between power, precision and speed in physical communication pdf

Surya Ganguli, Jascha Sohl-Dickstein, Subhaneil Lahiri, 2016, ArXiv.

Statistical Mechanics of Optimal Convex Inference in High Dimensions

Surya Ganguli, Madhu Advani, S. Ganguli, 2016 .

Environmental Boundaries as an Error Correction Mechanism for Grid Cells

Surya Ganguli, Lisa M. Giocomo, Kiah Hardcastle, 2015, Neuron.

On the saddle point problem for non-convex optimization pdf

Surya Ganguli, Razvan Pascanu, Yoshua Bengio, 2014, ArXiv.

On simplicity and complexity in the brave new world of large-scale neuroscience

Surya Ganguli, Peiran Gao, S. Ganguli, 2015, Current Opinion in Neurobiology.

Exact solutions to the nonlinear dynamics of learning in deep linear neural networks pdf

Surya Ganguli, James L. McClelland, Andrew M. Saxe, 2013, ICLR.

Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping

Surya Ganguli, Niru Maheswaranathan, Ben Poole, 2020, Neuron.

A Multiplexed, Heterogeneous, and Adaptive Code for Navigation in Medial Entorhinal Cortex

Surya Ganguli, Niru Maheswaranathan, Lisa M. Giocomo, 2017, Neuron.

SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks

Surya Ganguli, Friedemann Zenke, S. Ganguli, 2017, Neural Computation.

Neuron NeuroView An International Laboratory for Systems and Computational Neuroscience

Kenneth D. Harris, Surya Ganguli, Peter E. Latham, 2018 .

Memory traces in dynamical systems

Surya Ganguli, Haim Sompolinsky, Dongsung Huh, 2008, Proceedings of the National Academy of Sciences.

Universality and individuality in neural dynamics across large populations of recurrent networks

Surya Ganguli, Niru Maheswaranathan, David Sussillo, 2019, NeurIPS.

Principles governing the integration of landmark and self-motion cues in entorhinal cortical codes for navigation

Surya Ganguli, Samuel A. Ocko, Lisa M. Giocomo, 2018, Nature Neuroscience.

Robust and scalable credit assignment without weight symmetry

Surya Ganguli, Daniel Kunin, Javier Sagastuy-Brena, 2020, International Conference on Machine Learning.

Statistical mechanics of compressed sensing.

Surya Ganguli, Haim Sompolinsky, H. Sompolinsky, 2010, Physical review letters.

Learning hierarchical categories in deep neural networks

Surya Ganguli, James L. McClelland, Andrew M. Saxe, 2013, CogSci.

Analyzing noise in autoencoders and deep networks pdf

Surya Ganguli, Ben Poole, Jascha Sohl-Dickstein, 2014, ArXiv.

The Emergence of Spectral Universality in Deep Networks

Surya Ganguli, Samuel S. Schoenholz, Jeffrey Pennington, 2018, AISTATS.

Emergent properties of the local geometry of neural loss landscapes pdf

Surya Ganguli, Stanislav Fort, S. Ganguli, 2019, ArXiv.

The emergence of multiple retinal cell types through efficient coding of natural movies

Surya Ganguli, Samuel A. Ocko, Jack Lindsey, 2018, bioRxiv.

Learning Dynamics of Deep Networks Admit Low-Rank Tensor Descriptions

Surya Ganguli, Andrew M. Saxe, Alex H. Williams, 2018 .

Cortical layer–specific critical dynamics triggering perception

Surya Ganguli, Jonathan Kadmon, Karl Deisseroth, 2019, Science.

Task-Driven Convolutional Recurrent Models of the Visual System

Surya Ganguli, Aran Nayebi, Jonas Kubilius, 2018, NeurIPS.

The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion pdf

Surya Ganguli, Daniel Kunin, Javier Sagastuy-Brena, 2021, Neural Comput..

Deep Learning on a Data Diet: Finding Important Examples Early in Training pdf

Surya Ganguli, Gintare Karolina Dziugaite, Mansheej Paul, 2021, ArXiv.

A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions

Surya Ganguli, Gabriel C. Mel, Gabriel Mel, 2021, ICML.

Understanding self-supervised Learning Dynamics without Contrastive Pairs pdf

Yuandong Tian, Surya Ganguli, Xinlei Chen, 2021, ICML.

Coherent Ising machines based on optical parametric oscillators

Surya Ganguli, Hideo Mabuchi, Edwin Ng, 2021 .

Embodied intelligence via learning and evolution

Surya Ganguli, Silvio Savarese, Li Fei-Fei, 2021, Nature Communications.

How many degrees of freedom do we need to train deep networks: a loss landscape perspective pdf

Surya Ganguli, Stanislav Fort, Brett W. Larsen, 2021, ArXiv.

Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics pdf

Surya Ganguli, Daniel Kunin, Javier Sagastuy-Brena, 2021, ICLR.

Feedforward to the Past: The Relation between Neuronal Connectivity, Amplification, and Short-Term Memory

Surya Ganguli, Peter Latham, P. Latham, 2009, Neuron.

Behavioral/systems/cognitive Spatial Information Outflow from the Hippocampal Circuit: Distributed Spatial Coding and Phase Precession in the Subiculum

Surya Ganguli, Loren M Frank, S. Ganguli, 2022 .

Shared Cortex-Cerebellum Dynamics in the Execution and Learning of a Motor Task

Surya Ganguli, Jonathan Kadmon, Mark J. Schnitzer, 2019, Cell.

Cell types for our sense of location: where we are and where we are going

Surya Ganguli, Lisa M. Giocomo, Kiah Hardcastle, 2017, Nature Neuroscience.

of Song Sequence Learning II. Temporal Hierarchies and the Learning An Associational Model of Birdsong Sensorimotor

Surya Ganguli, Kristofer E. Bouchard, Michael S. Brainard, 2015 .

Identification of cellular-activity dynamics across large tissue volumes in the mammalian brain

Surya Ganguli, Marc Levoy, Patrick Suppes, 2017, bioRxiv.

Time-warped PCA : simultaneous alignment and dimensionality reduction of neural data

Surya Ganguli, Stephen A. Baccus, Niru Maheswaranathan, 2016 .