Dimakis, Alexandros G.

35 publications

NeurIPS 2024 DataComp-LM: In Search of the Next Generation of Training Sets for Language Models Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Chandu, Thao Nguyen, Igor Vasiljevic, Sham Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar

NeurIPS 2024 Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models Giannis Daras, Weili Nie, Karsten Kreis, Alexandros G. Dimakis, Morteza Mardani, Nikola B. Kovachki, Arash Vahdat

CVPR 2022 Deblurring via Stochastic Refinement Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar

NeurIPS 2021 Inverse Problems Leveraging Pre-Trained Contrastive Representations Sriram Ravula, Georgios Smyrnis, Matt Jordan, Alexandros G Dimakis

NeurIPS 2021 Robust Compressed Sensing MRI with Deep Generative Priors Ajil Jalal, Marius Arvinte, Giannis Daras, Ecprice, Alexandros G Dimakis, Jon Tamir

NeurIPS 2020 Applications of Common Entropy for Causal Inference Murat Kocaoglu, Sanjay Shakkottai, Alexandros G Dimakis, Constantine Caramanis, Sriram Vishwanath

NeurIPS 2020 Exactly Computing the Local Lipschitz Constant of ReLU Networks Matt Jordan, Alexandros G Dimakis

NeurIPS 2020 Robust Compressed Sensing Using Generative Models Ajil Jalal, Liu Liu, Alexandros G Dimakis, Constantine Caramanis

NeurIPS 2020 SMYRF - Efficient Attention Using Asymmetric Clustering Giannis Daras, Nikita Kitaev, Augustus Odena, Alexandros G Dimakis

NeurIPS 2019 Inverting Deep Generative Models, One Layer at a Time Qi Lei, Ajil Jalal, Inderjit S Dhillon, Alexandros G Dimakis

NeurIPS 2019 Learning Distributions Generated by One-Layer ReLU Networks Shanshan Wu, Alexandros G Dimakis, Sujay Sanghavi

NeurIPS 2019 Primal-Dual Block Generalized Frank-Wolfe Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S Dhillon, Alexandros G Dimakis

NeurIPS 2019 Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes Matt Jordan, Justin Lewis, Alexandros G Dimakis

NeurIPS 2019 Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models Shanshan Wu, Sujay Sanghavi, Alexandros G Dimakis

ICLR 2018 AmbientGAN: Generative Models from Lossy Measurements Ashish Bora, Eric Price, Alexandros G. Dimakis

ICLR 2018 CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis, Sriram Vishwanath

NeurIPS 2018 Experimental Design for Cost-Aware Learning of Causal Graphs Erik Lindgren, Murat Kocaoglu, Alexandros G Dimakis, Sriram Vishwanath

ICML 2017 Compressed Sensing Using Generative Models Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis

AISTATS 2017 Contextual Bandits with Latent Confounders: An NMF Approach Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai

AAAI 2017 Entropic Causal Inference Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi

ICML 2017 Exact MAP Inference by Avoiding Fractional Vertices Erik M. Lindgren, Alexandros G. Dimakis, Adam Klivans

ICML 2017 Gradient Coding: Avoiding Stragglers in Distributed Learning Rashish Tandon, Qi Lei, Alexandros G. Dimakis, Nikos Karampatziakis

ICML 2017 Identifying Best Interventions Through Online Importance Sampling Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai

NeurIPS 2017 Model-Powered Conditional Independence Test Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G Dimakis, Sanjay Shakkottai

ICML 2017 On Approximation Guarantees for Greedy Low Rank Optimization Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Joydeep Ghosh, Sahand Negahban

AISTATS 2017 Scalable Greedy Feature Selection via Weak Submodularity Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh

NeurIPS 2017 Streaming Weak Submodularity: Interpreting Neural Networks on the Fly Ethan Elenberg, Alexandros G Dimakis, Moran Feldman, Amin Karbasi

AISTATS 2016 Bipartite Correlation Clustering: Maximizing Agreements Megasthenis Asteris, Anastasios Kyrillidis, Dimitris S. Papailiopoulos, Alexandros G. Dimakis

NeurIPS 2016 Leveraging Sparsity for Efficient Submodular Data Summarization Erik Lindgren, Shanshan Wu, Alexandros G Dimakis

NeurIPS 2016 Single Pass PCA of Matrix Products Shanshan Wu, Srinadh Bhojanapalli, Sujay Sanghavi, Alexandros G Dimakis

NeurIPS 2015 Learning Causal Graphs with Small Interventions Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G Dimakis, Sriram Vishwanath

NeurIPS 2015 Orthogonal NMF Through Subspace Exploration Megasthenis Asteris, Dimitris Papailiopoulos, Alexandros G Dimakis

NeurIPS 2015 Sparse PCA via Bipartite Matchings Megasthenis Asteris, Dimitris Papailiopoulos, Anastasios Kyrillidis, Alexandros G Dimakis

NeurIPS 2014 On the Information Theoretic Limits of Learning Ising Models Rashish Tandon, Karthikeyan Shanmugam, Pradeep K Ravikumar, Alexandros G Dimakis

NeurIPS 2014 Sparse Polynomial Learning and Graph Sketching Murat Kocaoglu, Karthikeyan Shanmugam, Alexandros G Dimakis, Adam Klivans