More from the Same Authors

• 2022 : Score-based Seismic Inverse Problems »
  Sriram Ravula · Dimitri Voytan · Elad Liebman · Ram Tuvi · Yash Gandhi · Hamza Ghani · Alex Ardel · Mrinal Sen · Alex Dimakis
• 2022 : HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing »
  Tianlong Chen · Chengyue Gong · Daniel Diaz · Xuxi Chen · Jordan Wells · Qiang Liu · Zhangyang Wang · Andrew Ellington · Alex Dimakis · Adam Klivans
• 2022 : Discovering the Hidden Vocabulary of DALLE-2 »
  Giannis Daras · Alex Dimakis
• 2022 : Multiresolution Textual Inversion »
  Giannis Daras · Alex Dimakis
• 2022 Poster: Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve »
  Giannis Daras · Negin Raoof · Zoi Gkalitsiou · Alex Dimakis
• 2022 Poster: Zonotope Domains for Lagrangian Neural Network Verification »
  Matt Jordan · Jonathan Hayase · Alex Dimakis · Sewoong Oh
• 2021 Poster: Inverse Problems Leveraging Pre-trained Contrastive Representations »
  Sriram Ravula · Georgios Smyrnis · Matt Jordan · Alex Dimakis
• 2021 Poster: Robust Compressed Sensing MRI with Deep Generative Priors »
  Ajil Jalal · Marius Arvinte · Giannis Daras · Eric Price · Alex Dimakis · Jon Tamir
• 2020 Poster: SMYRF - Efficient Attention using Asymmetric Clustering »
  Giannis Daras · Nikita Kitaev · Augustus Odena · Alex Dimakis
• 2020 Poster: Applications of Common Entropy for Causal Inference »
  Murat Kocaoglu · Sanjay Shakkottai · Alex Dimakis · Constantine Caramanis · Sriram Vishwanath
• 2020 Poster: Exactly Computing the Local Lipschitz Constant of ReLU Networks »
  Matt Jordan · Alex Dimakis
• 2020 Poster: Robust compressed sensing using generative models »
  Ajil Jalal · Liu Liu · Alex Dimakis · Constantine Caramanis
• 2019 : Opening Remarks »
  Reinhard Heckel · Paul Hand · Alex Dimakis · Joan Bruna · Deanna Needell · Richard Baraniuk
• 2019 Workshop: Information Theory and Machine Learning »
  Shengjia Zhao · Jiaming Song · Yanjun Han · Kristy Choi · Pratyusha Kalluri · Ben Poole · Alex Dimakis · Jiantao Jiao · Tsachy Weissman · Stefano Ermon
• 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: Inverting Deep Generative models, One layer at a time »
  Qi Lei · Ajil Jalal · Inderjit Dhillon · Alex Dimakis
• 2019 Poster: Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes »
  Matt Jordan · Justin Lewis · Alex Dimakis
• 2019 Poster: Primal-Dual Block Generalized Frank-Wolfe »
  Qi Lei · JIACHENG ZHUO · Constantine Caramanis · Inderjit Dhillon · Alex Dimakis
• 2019 Poster: Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models »
  Shanshan Wu · Sujay Sanghavi · Alex Dimakis
• 2019 Spotlight: Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models »
  Shanshan Wu · Sujay Sanghavi · Alex Dimakis
• 2019 Poster: Learning Distributions Generated by One-Layer ReLU Networks »
  Shanshan Wu · Alex Dimakis · Sujay Sanghavi
• 2018 Poster: Experimental Design for Cost-Aware Learning of Causal Graphs »
  Erik Lindgren · Murat Kocaoglu · Alex Dimakis · Sriram Vishwanath
• 2017 Workshop: NIPS Highlights (MLTrain), Learn How to code a paper with state of the art frameworks »
  Alex Dimakis · Nikolaos Vasiloglou · Guy Van den Broeck · Alexander Ihler · Assaf Araki
• 2017 Poster: Streaming Weak Submodularity: Interpreting Neural Networks on the Fly »
  Ethan Elenberg · Alex Dimakis · Moran Feldman · Amin Karbasi
• 2017 Oral: Streaming Weak Submodularity: Interpreting Neural Networks on the Fly »
  Ethan Elenberg · Alex Dimakis · Moran Feldman · Amin Karbasi
• 2017 Poster: Model-Powered Conditional Independence Test »
  Rajat Sen · Ananda Theertha Suresh · Karthikeyan Shanmugam · Alex Dimakis · Sanjay Shakkottai
• 2016 Poster: Leveraging Sparsity for Efficient Submodular Data Summarization »
  Erik Lindgren · Shanshan Wu · Alex Dimakis
• 2016 Poster: Single Pass PCA of Matrix Products »
  Shanshan Wu · Srinadh Bhojanapalli · Sujay Sanghavi · Alex Dimakis
• 2015 Poster: Orthogonal NMF through Subspace Exploration »
  Megasthenis Asteris · Dimitris Papailiopoulos · Alex Dimakis
• 2015 Poster: Sparse PCA via Bipartite Matchings »
  Megasthenis Asteris · Dimitris Papailiopoulos · Anastasios Kyrillidis · Alex Dimakis
• 2015 Poster: Learning Causal Graphs with Small Interventions »
  Karthikeyan Shanmugam · Murat Kocaoglu · Alex Dimakis · Sriram Vishwanath
• 2014 Poster: Sparse Polynomial Learning and Graph Sketching »
  Murat Kocaoglu · Karthikeyan Shanmugam · Alex Dimakis · Adam Klivans
• 2014 Poster: On the Information Theoretic Limits of Learning Ising Models »
  Rashish Tandon · Karthikeyan Shanmugam · Pradeep Ravikumar · Alex Dimakis
• 2014 Oral: Sparse Polynomial Learning and Graph Sketching »
  Murat Kocaoglu · Karthikeyan Shanmugam · Alex Dimakis · Adam Klivans