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Opening Remarks
Reinhard Heckel · Paul Hand · Soheil Feizi · Lenka Zdeborová · Richard Baraniuk
Author Information
Reinhard Heckel (Rice University)
Paul Hand (Northeastern University)
Soheil Feizi (University of Maryland)
Lenka Zdeborová (CEA)
Richard Baraniuk (Rice University)
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2022 : Investigating Reproducibility from the Decision Boundary Perspective. »
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2023 Poster: Universality laws for Gaussian mixtures in generalized linear models »
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2023 Poster: Temporal Robustness against Data poisoning »
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2023 Poster: Diffused Redundancy in Pre-trained Representations »
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2023 Poster: Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals »
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2023 Workshop: Learning-Based Solutions for Inverse Problems »
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2022 Workshop: Machine Learning and the Physical Sciences »
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2022 Poster: Hard ImageNet: Segmentations for Objects with Strong Spurious Cues »
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2022 Poster: Explicit Tradeoffs between Adversarial and Natural Distributional Robustness »
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2022 Poster: Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks »
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2022 Poster: Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap »
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2022 Poster: Toward Efficient Robust Training against Union of $\ell_p$ Threat Models »
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2022 Poster: Multi-layer State Evolution Under Random Convolutional Design »
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2022 Poster: Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference »
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2022 Poster: Improved techniques for deterministic l2 robustness »
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2021 Workshop: Workshop on Deep Learning and Inverse Problems »
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2021 Workshop: Machine Learning and the Physical Sciences »
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2021 Poster: The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization »
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2021 Poster: Improving Deep Learning Interpretability by Saliency Guided Training »
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2021 Poster: Score-based Generative Neural Networks for Large-Scale Optimal Transport »
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2020 Workshop: Workshop on Deep Learning and Inverse Problems »
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2020 : Newcomer presentation »
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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 Poster: Certifying Confidence via Randomized Smoothing »
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2020 Poster: Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks »
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2020 Poster: Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation »
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2020 Poster: Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks »
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2020 Poster: Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors »
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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 : Lenka Zdeborova »
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2019 : Soheil Feizi, "Certifiable Defenses against Adversarial Attacks" »
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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 Choe · Henning Petzka · Ashish Verma · Zhichao Lin · Cristian Sminchisescu -
2019 : Surya Ganguli, Yasaman Bahri, Florent Krzakala moderated by Lenka Zdeborova »
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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 »
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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 »
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2019 Poster: Global Guarantees for Blind Demodulation with Generative Priors »
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2019 Poster: Functional Adversarial Attacks »
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2019 Poster: Quantum Wasserstein Generative Adversarial Networks »
Shouvanik Chakrabarti · Huang Yiming · Tongyang Li · Soheil Feizi · Xiaodi Wu -
2019 Poster: Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks »
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2019 Poster: The Geometry of Deep Networks: Power Diagram Subdivision »
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2018 Workshop: Integration of Deep Learning Theories »
Richard Baraniuk · Anima Anandkumar · Stephane Mallat · Ankit Patel · nhật Hồ -
2018 : Panel Discussion »
Richard Baraniuk · Maarten V. de Hoop · Paul A Johnson -
2018 : Introduction »
Laura Pyrak-Nolte · James Rustad · Richard Baraniuk -
2018 Workshop: Machine Learning for Geophysical & Geochemical Signals »
Laura Pyrak-Nolte · James Rustad · Richard Baraniuk -
2018 Poster: A convex program for bilinear inversion of sparse vectors »
Alireza Aghasi · Ali Ahmed · Paul Hand · Babhru Joshi -
2018 Poster: Blind Deconvolutional Phase Retrieval via Convex Programming »
Ali Ahmed · Alireza Aghasi · Paul Hand -
2018 Spotlight: Blind Deconvolutional Phase Retrieval via Convex Programming »
Ali Ahmed · Alireza Aghasi · Paul Hand -
2018 Poster: Porcupine Neural Networks: Approximating Neural Network Landscapes »
Soheil Feizi · Hamid Javadi · Jesse Zhang · David Tse -
2018 Poster: Phase Retrieval Under a Generative Prior »
Paul Hand · Oscar Leong · Vlad Voroninski -
2018 Oral: Phase Retrieval Under a Generative Prior »
Paul Hand · Oscar Leong · Vlad Voroninski -
2017 Workshop: Advances in Modeling and Learning Interactions from Complex Data »
Gautam Dasarathy · Mladen Kolar · Richard Baraniuk -
2017 Poster: Tensor Biclustering »
Soheil Feizi · Hamid Javadi · David Tse -
2017 Poster: Learned D-AMP: Principled Neural Network based Compressive Image Recovery »
Chris Metzler · Ali Mousavi · Richard Baraniuk -
2016 Workshop: Machine Learning for Education »
Richard Baraniuk · Jiquan Ngiam · Christoph Studer · Phillip Grimaldi · Andrew Lan -
2016 Poster: A Probabilistic Framework for Deep Learning »
Ankit Patel · Tan Nguyen · Richard Baraniuk -
2015 : Low-dimensional inference with high-dimensional data »
Richard Baraniuk -
2015 : Probabilistic Theory of Deep Learning »
Richard Baraniuk -
2015 Poster: Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation »
Alaa Saade · Florent Krzakala · Lenka Zdeborová -
2014 Workshop: Human Propelled Machine Learning »
Richard Baraniuk · Michael Mozer · Divyanshu Vats · Christoph Studer · Andrew E Waters · Andrew Lan -
2014 Poster: Biclustering Using Message Passing »
Luke O'Connor · Soheil Feizi -
2013 Poster: When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements »
Divyanshu Vats · Richard Baraniuk -
2011 Poster: SpaRCS: Recovering low-rank and sparse matrices from compressive measurements »
Andrew E Waters · Aswin C Sankaranarayanan · Richard Baraniuk -
2009 Workshop: Manifolds, sparsity, and structured models: When can low-dimensional geometry really help? »
Richard Baraniuk · Volkan Cevher · Mark A Davenport · Piotr Indyk · Bruno Olshausen · Michael B Wakin -
2008 Poster: Sparse Signal Recovery Using Markov Random Fields »
Volkan Cevher · Marco F Duarte · Chinmay Hegde · Richard Baraniuk -
2008 Spotlight: Sparse Signal Recovery Using Markov Random Fields »
Volkan Cevher · Marco F Duarte · Chinmay Hegde · Richard Baraniuk -
2007 Poster: Random Projections for Manifold Learning »
Chinmay Hegde · Richard Baraniuk