More from the Same Authors

• 2021 : An Extensible Benchmark Suite for Learning to Simulate Physical Systems »
  Karl Otness · Arvi Gjoka · Joan Bruna · Daniele Panozzo · Benjamin Peherstorfer · Teseo Schneider · Denis Zorin
• 2021 Spotlight: Offline RL Without Off-Policy Evaluation »
  David Brandfonbrener · Will Whitney · Rajesh Ranganath · Joan Bruna
• 2021 : Quantile Filtered Imitation Learning »
  David Brandfonbrener · Will Whitney · Rajesh Ranganath · Joan Bruna
• 2022 : Unmasking the Lottery Ticket Hypothesis: Efficient Adaptive Pruning for Finding Winning Tickets »
  Mansheej Paul · Feng Chen · Brett Larsen · Jonathan Frankle · Surya Ganguli · Gintare Karolina Dziugaite
• 2022 Workshop: Learning Meaningful Representations of Life »
  Elizabeth Wood · Adji Bousso Dieng · Aleksandrina Goeva · Alex X Lu · Anshul Kundaje · Chang Liu · Debora Marks · Ed Boyden · Eli N Weinstein · Lorin Crawford · Mor Nitzan · Rebecca Boiarsky · Romain Lopez · Tamara Broderick · Ray Jones · Wouter Boomsma · Yixin Wang · Stephen Ra
• 2022 Workshop: Machine Learning and the Physical Sciences »
  Atilim Gunes Baydin · Adji Bousso Dieng · Emine Kucukbenli · Gilles Louppe · Siddharth Mishra-Sharma · Benjamin Nachman · Brian Nord · Savannah Thais · Anima Anandkumar · Kyle Cranmer · Lenka Zdeborová · Rianne van den Berg
• 2022 Poster: Exponential Separations in Symmetric Neural Networks »
  Aaron Zweig · Joan Bruna
• 2022 Poster: When does return-conditioned supervised learning work for offline reinforcement learning? »
  David Brandfonbrener · Alberto Bietti · Jacob Buckman · Romain Laroche · Joan Bruna
• 2022 Poster: Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients »
  Kyurae Kim · Jisu Oh · Jacob Gardner · Adji Bousso Dieng · Hongseok Kim
• 2022 Poster: Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks »
  Mansheej Paul · Brett Larsen · Surya Ganguli · Jonathan Frankle · Gintare Karolina Dziugaite
• 2022 Poster: Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks »
  Rodrigo Veiga · Ludovic Stephan · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
• 2022 Poster: On Non-Linear operators for Geometric Deep Learning »
  Grégoire Sergeant-Perthuis · Jakob Maier · Joan Bruna · Edouard Oyallon
• 2022 Poster: Beyond neural scaling laws: beating power law scaling via data pruning »
  Ben Sorscher · Robert Geirhos · Shashank Shekhar · Surya Ganguli · Ari Morcos
• 2022 Poster: Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap »
  Luca Pesce · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
• 2022 Poster: Multi-layer State Evolution Under Random Convolutional Design »
  Max Daniels · Cedric Gerbelot · Florent Krzakala · Lenka Zdeborová
• 2022 Poster: Learning single-index models with shallow neural networks »
  Alberto Bietti · Joan Bruna · Clayton Sanford · Min Jae Song
• 2021 Workshop: Learning Meaningful Representations of Life (LMRL) »
  Elizabeth Wood · Adji Bousso Dieng · Aleksandrina Goeva · Anshul Kundaje · Barbara Engelhardt · Chang Liu · David Van Valen · Debora Marks · Edward Boyden · Eli N Weinstein · Lorin Crawford · Mor Nitzan · Romain Lopez · Tamara Broderick · Ray Jones · Wouter Boomsma · Yixin Wang
• 2021 : Session 3 | Invited talk: Surya Ganguli, "From the geometry of high dimensional energy landscapes to optimal annealing in a dissipative many body quantum optimizer" »
  Surya Ganguli · Atilim Gunes Baydin
• 2021 Workshop: Machine Learning and the Physical Sciences »
  Anima Anandkumar · Kyle Cranmer · Mr. Prabhat · Lenka Zdeborová · Atilim Gunes Baydin · Juan Carrasquilla · Emine Kucukbenli · Gilles Louppe · Benjamin Nachman · Brian Nord · Savannah Thais
• 2021 Poster: Consistency Regularization for Variational Auto-Encoders »
  Samarth Sinha · Adji Bousso Dieng
• 2021 Poster: On the Sample Complexity of Learning under Geometric Stability »
  Alberto Bietti · Luca Venturi · Joan Bruna
• 2021 Poster: Deep Learning on a Data Diet: Finding Important Examples Early in Training »
  Mansheej Paul · Surya Ganguli · Gintare Karolina Dziugaite
• 2021 Poster: On the Cryptographic Hardness of Learning Single Periodic Neurons »
  Min Jae Song · Ilias Zadik · Joan Bruna
• 2021 Poster: Offline RL Without Off-Policy Evaluation »
  David Brandfonbrener · Will Whitney · Rajesh Ranganath · Joan Bruna
• 2020 : Opening Remarks »
  Reinhard Heckel · Paul Hand · Soheil Feizi · Lenka Zdeborová · Richard Baraniuk
• 2020 Workshop: Workshop on Deep Learning and Inverse Problems »
  Reinhard Heckel · Paul Hand · Richard Baraniuk · Lenka Zdeborová · Soheil Feizi
• 2020 Workshop: Machine Learning and the Physical Sciences »
  Anima Anandkumar · Kyle Cranmer · Shirley Ho · Mr. Prabhat · Lenka Zdeborová · Atilim Gunes Baydin · Juan Carrasquilla · Adji Bousso Dieng · Karthik Kashinath · Gilles Louppe · Brian Nord · Michela Paganini · Savannah Thais
• 2020 Workshop: Learning Meaningful Representations of Life (LMRL.org) »
  Elizabeth Wood · Debora Marks · Ray Jones · Adji Bousso Dieng · Alan Aspuru-Guzik · Anshul Kundaje · Barbara Engelhardt · Chang Liu · Edward Boyden · Kresten Lindorff-Larsen · Mor Nitzan · Smita Krishnaswamy · Wouter Boomsma · Yixin Wang · David Van Valen · Orr Ashenberg
• 2020 Poster: Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel »
  Stanislav Fort · Gintare Karolina Dziugaite · Mansheej Paul · Sepideh Kharaghani · Daniel Roy · Surya Ganguli
• 2020 Poster: A mean-field analysis of two-player zero-sum games »
  Carles Domingo-Enrich · Samy Jelassi · Arthur Mensch · Grant Rotskoff · Joan Bruna
• 2020 Poster: Can Graph Neural Networks Count Substructures? »
  Zhengdao Chen · Lei Chen · Soledad Villar · Joan Bruna
• 2020 Poster: Predictive coding in balanced neural networks with noise, chaos and delays »
  Jonathan Kadmon · Jonathan Timcheck · Surya Ganguli
• 2020 Poster: Identifying Learning Rules From Neural Network Observables »
  Aran Nayebi · Sanjana Srivastava · Surya Ganguli · Daniel Yamins
• 2020 Spotlight: Identifying Learning Rules From Neural Network Observables »
  Aran Nayebi · Sanjana Srivastava · Surya Ganguli · Daniel Yamins
• 2020 Session: Orals & Spotlights Track 26: Graph/Relational/Theory »
  Joan Bruna · Cassio de Campos
• 2020 Poster: IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method »
  Yossi Arjevani · Joan Bruna · Bugra Can · Mert Gurbuzbalaban · Stefanie Jegelka · Hongzhou Lin
• 2020 Spotlight: IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method »
  Yossi Arjevani · Joan Bruna · Bugra Can · Mert Gurbuzbalaban · Stefanie Jegelka · Hongzhou Lin
• 2020 Poster: A Dynamical Central Limit Theorem for Shallow Neural Networks »
  Zhengdao Chen · Grant Rotskoff · Joan Bruna · Eric Vanden-Eijnden
• 2020 Poster: Pruning neural networks without any data by iteratively conserving synaptic flow »
  Hidenori Tanaka · Daniel Kunin · Daniel Yamins · Surya Ganguli
• 2019 : Panel Session: A new hope for neuroscience »
  Yoshua Bengio · Blake Richards · Timothy Lillicrap · Ila Fiete · David Sussillo · Doina Precup · Konrad Kording · Surya Ganguli
• 2019 : Towards an understanding of wide, deep neural networks »
  Yasaman Bahri
• 2019 : Poster Session »
  Pravish Sainath · Mohamed Akrout · Charles Delahunt · Nathan Kutz · Guangyu Robert Yang · Joseph Marino · L F Abbott · Nicolas Vecoven · Damien Ernst · andrew warrington · Michael Kagan · Kyunghyun Cho · Kameron Harris · Leopold Grinberg · John J. Hopfield · Dmitry Krotov · Taliah Muhammad · Erick Cobos · Edgar Walker · Jacob Reimer · Andreas Tolias · Alexander Ecker · Janaki Sheth · Yu Zhang · Maciej Wołczyk · Jacek Tabor · Szymon Maszke · Roman Pogodin · Dane Corneil · Wulfram Gerstner · Baihan Lin · Guillermo Cecchi · Jenna M Reinen · Irina Rish · Guillaume Bellec · Darjan Salaj · Anand Subramoney · Wolfgang Maass · Yueqi Wang · Ari Pakman · Jin Hyung Lee · Liam Paninski · Bryan Tripp · Colin Graber · Alex Schwing · Luke Prince · Gabriel Ocker · Michael Buice · Benjamin Lansdell · Konrad Kording · Jack Lindsey · Terrence Sejnowski · Matthew Farrell · Eric Shea-Brown · Nicolas Farrugia · Victor Nepveu · Jiwoong Im · Kristin Branson · Brian Hu · Ramakrishnan Iyer · Stefan Mihalas · Sneha Aenugu · Hananel Hazan · Sihui Dai · Tan Nguyen · Doris Tsao · Richard Baraniuk · Anima Anandkumar · Hidenori Tanaka · Aran Nayebi · Stephen Baccus · Surya Ganguli · Dean Pospisil · Eilif Muller · Jeffrey S Cheng · Gaël Varoquaux · Kamalaker Dadi · Dimitrios C Gklezakos · Rajesh PN Rao · Anand Louis · Christos Papadimitriou · Santosh Vempala · Naganand Yadati · Daniel Zdeblick · Daniela M Witten · Nicholas Roberts · Vinay Prabhu · Pierre Bellec · Poornima Ramesh · Jakob H Macke · Santiago Cadena · Guillaume Bellec · Franz Scherr · Owen Marschall · Robert Kim · Hannes Rapp · Marcio Fonseca · Oliver Armitage · Jiwoong Im · Thomas Hardcastle · Abhishek Sharma · Wyeth Bair · Adrian Valente · Shane Shang · Merav Stern · Rutuja Patil · Peter Wang · Sruthi Gorantla · Peter Stratton · Tristan Edwards · Jialin Lu · Martin Ester · Yurii Vlasov · Siavash Golkar
• 2019 : Panel - The Role of Communication at Large: Aparna Lakshmiratan, Jason Yosinski, Been Kim, Surya Ganguli, Finale Doshi-Velez »
  Aparna Lakshmiratan · Finale Doshi-Velez · Surya Ganguli · Zachary Lipton · Michela Paganini · Anima Anandkumar · Jason Yosinski
• 2019 : Lenka Zdeborova »
  Lenka Zdeborová
• 2019 : Invited Talk: Theories for the emergence of internal representations in neural networks: from perception to navigation »
  Surya Ganguli
• 2019 : Lunch Break and Posters »
  Xingyou Song · Elad Hoffer · Wei-Cheng Chang · Jeremy Cohen · Jyoti Islam · Yaniv Blumenfeld · Andreas Madsen · Jonathan Frankle · Sebastian Goldt · Satrajit Chatterjee · Abhishek Panigrahi · Alex Renda · Brian Bartoldson · Israel Birhane · Aristide Baratin · Niladri Chatterji · Roman Novak · Jessica Forde · YiDing Jiang · Yilun Du · Linara Adilova · Michael Kamp · Berry Weinstein · Itay Hubara · Tal Ben-Nun · Torsten Hoefler · Daniel Soudry · Hsiang-Fu Yu · Kai Zhong · Yiming Yang · Inderjit Dhillon · Jaime Carbonell · Yanqing Zhang · Dar Gilboa · Johannes Brandstetter · Alexander R Johansen · Gintare Karolina Dziugaite · Raghav Somani · Ari Morcos · Freddie Kalaitzis · Hanie Sedghi · Lechao Xiao · John Zech · Muqiao Yang · Simran Kaur · Qianli Ma · Yao-Hung Hubert Tsai · Ruslan Salakhutdinov · Sho Yaida · Zachary Lipton · Daniel Roy · Michael Carbin · Florent Krzakala · Lenka Zdeborová · Guy Gur-Ari · Ethan Dyer · Dilip Krishnan · Hossein Mobahi · Samy Bengio · Behnam Neyshabur · Praneeth Netrapalli · Kris Sankaran · Julien Cornebise · Yoshua Bengio · Vincent Michalski · Samira Ebrahimi Kahou · Md Rifat Arefin · Jiri Hron · Jaehoon Lee · Jascha Sohl-Dickstein · Samuel Schoenholz · David Schwab · Dongyu Li · Sang Keun Choe · Henning Petzka · Ashish Verma · Zhichao Lin · Cristian Sminchisescu
• 2019 : Poster and Coffee Break 1 »
  Aaron Sidford · Aditya Mahajan · Alejandro Ribeiro · Alex Lewandowski · Ali H Sayed · Ambuj Tewari · Angelika Steger · Anima Anandkumar · Asier Mujika · Hilbert J Kappen · Bolei Zhou · Byron Boots · Chelsea Finn · Chen-Yu Wei · Chi Jin · Ching-An Cheng · Christina Yu · Clement Gehring · Craig Boutilier · Dahua Lin · Daniel McNamee · Daniel Russo · David Brandfonbrener · Denny Zhou · Devesh Jha · Diego Romeres · Doina Precup · Dominik Thalmeier · Eduard Gorbunov · Elad Hazan · Elena Smirnova · Elvis Dohmatob · Emma Brunskill · Enrique Munoz de Cote · Ethan Waldie · Florian Meier · Florian Schaefer · Ge Liu · Gergely Neu · Haim Kaplan · Hao Sun · Hengshuai Yao · Jalaj Bhandari · James A Preiss · Jayakumar Subramanian · Jiajin Li · Jieping Ye · Jimmy Smith · Joan Bas Serrano · Joan Bruna · John Langford · Jonathan Lee · Jose A. Arjona-Medina · Kaiqing Zhang · Karan Singh · Yuping Luo · Zafarali Ahmed · Zaiwei Chen · Zhaoran Wang · Zhizhong Li · Zhuoran Yang · Ziping Xu · Ziyang Tang · Yi Mao · David Brandfonbrener · Shirli Di-Castro · Riashat Islam · Zuyue Fu · Abhishek Naik · Saurabh Kumar · Benjamin Petit · Angeliki Kamoutsi · Simone Totaro · Arvind Raghunathan · Rui Wu · Donghwan Lee · Dongsheng Ding · Alec Koppel · Hao Sun · Christian Tjandraatmadja · Mahdi Karami · Jincheng Mei · Chenjun Xiao · Junfeng Wen · Zichen Zhang · Ross Goroshin · Mohammad Pezeshki · Jiaqi Zhai · Philip Amortila · Shuo Huang · Mariya Vasileva · El houcine Bergou · Adel Ahmadyan · Haoran Sun · Sheng Zhang · Lukas Gruber · Yuanhao Wang · Tetiana Parshakova
• 2019 : Poster Spotlight 1 »
  David Brandfonbrener · Joan Bruna · Tom Zahavy · Haim Kaplan · Yishay Mansour · Nikos Karampatziakis · John Langford · Paul Mineiro · Donghwan Lee · Niao He
• 2019 : Florent Krzakala - Learning with "realistic" synthetic data »
  Florent Krzakala
• 2019 : Yasaman Bahri - Tractable limits for deep networks: an overview of the large width regime »
  Yasaman Bahri
• 2019 : Surya Ganguli - An analytic theory of generalization dynamics and transfer learning in deep linear networks »
  Surya Ganguli
• 2019 : Poster Session »
  Jonathan Scarlett · Piotr Indyk · Ali Vakilian · Adrian Weller · Partha P Mitra · Benjamin Aubin · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová · Kristina Monakhova · Joshua Yurtsever · Laura Waller · Hendrik Sommerhoff · Michael Moeller · Rushil Anirudh · Shuang Qiu · Xiaohan Wei · Zhuoran Yang · Jayaraman Thiagarajan · Salman Asif · Michael Gillhofer · Johannes Brandstetter · Sepp Hochreiter · Felix Petersen · Dhruv Patel · Assad Oberai · Akshay Kamath · Sushrut Karmalkar · Eric Price · Ali Ahmed · Zahra Kadkhodaie · Sreyas Mohan · Eero Simoncelli · Carlos Fernandez-Granda · Oscar Leong · Wesam Sakla · Rebecca Willett · Stephan Hoyer · Jascha Sohl-Dickstein · Sam Greydanus · Gauri Jagatap · Chinmay Hegde · Michael Kellman · Jonathan Tamir · Nouamane Laanait · Ousmane Dia · Mirco Ravanelli · Jonathan Binas · Negar Rostamzadeh · Shirin Jalali · Tiantian Fang · Alex Schwing · Sébastien Lachapelle · Philippe Brouillard · Tristan Deleu · Simon Lacoste-Julien · Stella Yu · Arya Mazumdar · Ankit Singh Rawat · Yue Zhao · Jianshu Chen · Xiaoyang Li · Hubert Ramsauer · Gabrio Rizzuti · Nikolaos Mitsakos · Dingzhou Cao · Thomas Strohmer · Yang Li · Pei Peng · Gregory Ongie
• 2019 : The spiked matrix model with generative priors »
  Lenka Zdeborová
• 2019 : Opening Remarks »
  Reinhard Heckel · Paul Hand · Alex Dimakis · Joan Bruna · Deanna Needell · Richard Baraniuk
• 2019 Workshop: Solving inverse problems with deep networks: New architectures, theoretical foundations, and applications »
  Reinhard Heckel · Paul Hand · Richard Baraniuk · Joan Bruna · Alex Dimakis · Deanna Needell
• 2019 Poster: Gradient Dynamics of Shallow Univariate ReLU Networks »
  Francis Williams · Matthew Trager · Daniele Panozzo · Claudio Silva · Denis Zorin · Joan Bruna
• 2019 Poster: On the Expressive Power of Deep Polynomial Neural Networks »
  Joe Kileel · Matthew Trager · Joan Bruna
• 2019 Poster: Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent »
  Jaehoon Lee · Lechao Xiao · Samuel Schoenholz · Yasaman Bahri · Roman Novak · Jascha Sohl-Dickstein · Jeffrey Pennington
• 2019 Poster: Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias »
  Stéphane d'Ascoli · Levent Sagun · Giulio Biroli · Joan Bruna
• 2019 Poster: A unified theory for the origin of grid cells through the lens of pattern formation »
  Ben Sorscher · Gabriel Mel · Surya Ganguli · Samuel Ocko
• 2019 Poster: Universality and individuality in neural dynamics across large populations of recurrent networks »
  Niru Maheswaranathan · Alex Williams · Matthew Golub · Surya Ganguli · David Sussillo
• 2019 Spotlight: A unified theory for the origin of grid cells through the lens of pattern formation »
  Ben Sorscher · Gabriel Mel · Surya Ganguli · Samuel Ocko
• 2019 Spotlight: Universality and individuality in neural dynamics across large populations of recurrent networks »
  Niru Maheswaranathan · Alex Williams · Matthew Golub · Surya Ganguli · David Sussillo
• 2019 Poster: Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup »
  Sebastian Goldt · Madhu Advani · Andrew Saxe · Florent Krzakala · Lenka Zdeborová
• 2019 Poster: On the equivalence between graph isomorphism testing and function approximation with GNNs »
  Zhengdao Chen · Soledad Villar · Lei Chen · Joan Bruna
• 2019 Oral: Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup »
  Sebastian Goldt · Madhu Advani · Andrew Saxe · Florent Krzakala · Lenka Zdeborová
• 2019 Poster: From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction »
  Hidenori Tanaka · Aran Nayebi · Niru Maheswaranathan · Lane McIntosh · Stephen Baccus · Surya Ganguli
• 2019 Poster: Stability of Graph Scattering Transforms »
  Fernando Gama · Alejandro Ribeiro · Joan Bruna
• 2019 Poster: Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models »
  Stefano Sarao Mannelli · Giulio Biroli · Chiara Cammarota · Florent Krzakala · Lenka Zdeborová
• 2019 Spotlight: Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models »
  Stefano Sarao Mannelli · Giulio Biroli · Chiara Cammarota · Florent Krzakala · Lenka Zdeborová
• 2019 Poster: Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics »
  Niru Maheswaranathan · Alex Williams · Matthew Golub · Surya Ganguli · David Sussillo
• 2018 : Invited Talk 3 »
  Joan Bruna
• 2018 : Joan Bruna »
  Joan Bruna
• 2018 Poster: Entropy and mutual information in models of deep neural networks »
  Marylou Gabrié · Andre Manoel · Clément Luneau · jean barbier · Nicolas Macris · Florent Krzakala · Lenka Zdeborová
• 2018 Poster: The committee machine: Computational to statistical gaps in learning a two-layers neural network »
  Benjamin Aubin · Antoine Maillard · jean barbier · Florent Krzakala · Nicolas Macris · Lenka Zdeborová
• 2018 Spotlight: The committee machine: Computational to statistical gaps in learning a two-layers neural network »
  Benjamin Aubin · Antoine Maillard · jean barbier · Florent Krzakala · Nicolas Macris · Lenka Zdeborová
• 2018 Spotlight: Entropy and mutual information in models of deep neural networks »
  Marylou Gabrié · Andre Manoel · Clément Luneau · jean barbier · Nicolas Macris · Florent Krzakala · Lenka Zdeborová
• 2018 Poster: The emergence of multiple retinal cell types through efficient coding of natural movies »
  Samuel Ocko · Jack Lindsey · Surya Ganguli · Stephane Deny
• 2018 Poster: Statistical mechanics of low-rank tensor decomposition »
  Jonathan Kadmon · Surya Ganguli
• 2018 Poster: Task-Driven Convolutional Recurrent Models of the Visual System »
  Aran Nayebi · Daniel Bear · Jonas Kubilius · Kohitij Kar · Surya Ganguli · David Sussillo · James J DiCarlo · Daniel Yamins
• 2017 Poster: Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net »
  Anirudh Goyal · Nan Rosemary Ke · Surya Ganguli · Yoshua Bengio
• 2017 Poster: Variational Inference via $\chi$ Upper Bound Minimization »
  Adji Bousso Dieng · Dustin Tran · Rajesh Ranganath · John Paisley · David Blei
• 2017 Poster: Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice »
  Jeffrey Pennington · Samuel Schoenholz · Surya Ganguli
• 2017 Tutorial: Geometric Deep Learning on Graphs and Manifolds »
  Michael Bronstein · Joan Bruna · arthur szlam · Xavier Bresson · Yann LeCun
• 2016 : Surya Ganguli : Deep Neural Models of the Retinal Response to Natural Stimuli »
  Surya Ganguli
• 2016 : Non-convexity in the error landscape and the expressive capacity of deep neural networks »
  Surya Ganguli
• 2016 Poster: Exponential expressivity in deep neural networks through transient chaos »
  Ben Poole · Subhaneil Lahiri · Maithra Raghu · Jascha Sohl-Dickstein · Surya Ganguli
• 2016 Poster: An equivalence between high dimensional Bayes optimal inference and M-estimation »
  Madhu Advani · Surya Ganguli
• 2016 Poster: Deep Learning Models of the Retinal Response to Natural Scenes »
  Lane McIntosh · Niru Maheswaranathan · Aran Nayebi · Surya Ganguli · Stephen Baccus
• 2015 Poster: Deep Knowledge Tracing »
  Chris Piech · Jonathan Bassen · Jonathan Huang · Surya Ganguli · Mehran Sahami · Leonidas Guibas · Jascha Sohl-Dickstein
• 2015 Poster: Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation »
  Alaa Saade · Florent Krzakala · Lenka Zdeborová
• 2014 Workshop: Deep Learning and Representation Learning »
  Andrew Y Ng · Yoshua Bengio · Adam Coates · Roland Memisevic · Sharanyan Chetlur · Geoffrey E Hinton · Shamim Nemati · Bryan Catanzaro · Surya Ganguli · Herbert Jaeger · Phil Blunsom · Leon Bottou · Volodymyr Mnih · Chen-Yu Lee · Rich M Schwartz
• 2014 Poster: Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation »
  Emily Denton · Wojciech Zaremba · Joan Bruna · Yann LeCun · Rob Fergus
• 2014 Poster: Identifying and attacking the saddle point problem in high-dimensional non-convex optimization »
  Yann N Dauphin · Razvan Pascanu · Caglar Gulcehre · Kyunghyun Cho · Surya Ganguli · Yoshua Bengio
• 2013 Poster: A memory frontier for complex synapses »
  Subhaneil Lahiri · Surya Ganguli
• 2013 Oral: A memory frontier for complex synapses »
  Subhaneil Lahiri · Surya Ganguli
• 2013 Poster: Blind Calibration in Compressed Sensing using Message Passing Algorithms »
  Christophe Schulke · Francesco Caltagirone · Florent Krzakala · Lenka Zdeborová
• 2010 Poster: Short-term memory in neuronal networks through dynamical compressed sensing »
  Surya Ganguli · Haim Sompolinsky