Alexandros G. Dimakis

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 121

Top Venues

CoRR

NeurIPS

NIPS

IEEE Trans. Inf. Theory

Publications

Jay Whang, Alliot Nagle, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis
Neural Distributed Source Coding. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Giannis Daras, Alexandros G. Dimakis, Constantinos Daskalakis
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data. CoRR (2024)
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak 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 M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. 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
DataComp-LM: In search of the next generation of training sets for language models. CoRR (2024)
Adam R. Klivans, Alexandros G. Dimakis, Kristen Grauman, Jonathan I. Tamir, Daniel Jesus Diaz, Karen Davidson
Institute for Foundations of Machine Learning (IFML): Advancing AI systems that will transform our world. AI Mag. 45 (1) (2024)
Yating Wu, Ritika Mangla, Alexandros G. Dimakis, Greg Durrett, Junyi Jessy Li
Which questions should I answer? Salience Prediction of Inquisitive Questions. CoRR (2024)
Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alexandros G. Dimakis, Jonathan I. Tamir
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data. CoRR (2024)
Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Jenia Jitsev, Alexandros G. Dimakis, Gabriel Ilharco, Shuran Song, Thomas Kollar, Yair Carmon, Achal Dave, Reinhard Heckel, Niklas Muennighoff, Ludwig Schmidt
Language models scale reliably with over-training and on downstream tasks. CoRR (2024)
Sunny Sanyal, Sujay Sanghavi, Alexandros G. Dimakis
Pre-training Small Base LMs with Fewer Tokens. CoRR (2024)
Sriram Ravula, Brett Levac, Ajil Jalal, Jonathan I. Tamir, Alexandros G. Dimakis
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models. CoRR (2023)
Sitan Chen, Giannis Daras, Alexandros G. Dimakis
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-Type Samplers. CoRR (2023)
Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis
Model-Based Deep Learning. Proc. IEEE 111 (5) (2023)
Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alexandros G. Dimakis, Sanjay Shakkottai
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. CoRR (2023)
Sriram Ravula, Varun Gorti, Bo Deng, Swagato Chakraborty, James Pingenot, Bhyrav Mutnury, Douglas Wallace, Douglas Winterberg, Adam R. Klivans, Alexandros G. Dimakis
One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers. CoRR (2023)
Sriram Ravula, Varun Gorti, Bo Deng, Swagato Chakraborty, James Pingenot, Bhyrav Mutnury, Douglas Wallace, Douglas Winterberg, Adam R. Klivans, Alexandros G. Dimakis
One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers. ICCAD (2023)
Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alexandros G. Dimakis, Adam R. Klivans
Ambient Diffusion: Learning Clean Distributions from Corrupted Data. CoRR (2023)
Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent. CoRR (2023)
Giannis Daras, Alexandros G. Dimakis
Multiresolution Textual Inversion. CoRR (2022)
Giannis Daras, Alexandros G. Dimakis
Discovering the Hidden Vocabulary of DALLE-2. CoRR (2022)
Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alexandros G. Dimakis, Peyman Milanfar
Soft Diffusion: Score Matching for General Corruptions. CoRR (2022)
Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems. CoRR (2022)
Sriram Ravula, Alexandros G. Dimakis
One-dimensional Deep Image Prior for Time Series Inverse Problems. IEEECONF (2022)
Giannis Daras, Negin Raoof, Zoi Gkalitsiou, Alexandros G. Dimakis
Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve. CoRR (2022)
Matt Jordan, Jonathan Hayase, Alexandros G. Dimakis, Sewoong Oh
Zonotope Domains for Lagrangian Neural Network Verification. CoRR (2022)
Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar
Deblurring via Stochastic Refinement. CVPR (2022)
Ajil Jalal, Sushrut Karmalkar, Alexandros G. Dimakis, Eric Price
Instance-Optimal Compressed Sensing via Posterior Sampling. CoRR (2021)
Giannis Daras, Wen-Sheng Chu, Abhishek Kumar, Dmitry Lagun, Alexandros G. Dimakis
Solving Inverse Problems with NerfGANs. CoRR (2021)
Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar
Deblurring via Stochastic Refinement. CoRR (2021)
Jay Whang, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis
Neural Distributed Source Coding. CoRR (2021)
Giannis Daras, Joseph Dean, Ajil Jalal, Alexandros G. Dimakis
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models. CoRR (2021)
Sriram Ravula, Georgios Smyrnis, Matt Jordan, Alexandros G. Dimakis
Inverse Problems Leveraging Pre-trained Contrastive Representations. NeurIPS (2021)
Sriram Ravula, Georgios Smyrnis, Matt Jordan, Alexandros G. Dimakis
Inverse Problems Leveraging Pre-trained Contrastive Representations. CoRR (2021)
Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
Robust Compressed Sensing MRI with Deep Generative Priors. NeurIPS (2021)
Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
Robust Compressed Sensing MRI with Deep Generative Priors. CoRR (2021)
Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alexandros G. Dimakis, Eric Price
Fairness for Image Generation with Uncertain Sensitive Attributes. CoRR (2021)
Matt Jordan, Alexandros G. Dimakis
Provable Lipschitz Certification for Generative Models. CoRR (2021)
Eren Balevi, Akash S. Doshi, Ajil Jalal, Alexandros G. Dimakis, Jeffrey G. Andrews
High Dimensional Channel Estimation Using Deep Generative Networks. IEEE J. Sel. Areas Commun. 39 (1) (2021)
Netanel Raviv, Itzhak Tamo, Rashish Tandon, Alexandros G. Dimakis
Gradient Coding From Cyclic MDS Codes and Expander Graphs. IEEE Trans. Inf. Theory 66 (12) (2020)
Ajil Jalal, Liu Liu, Alexandros G. Dimakis, Constantine Caramanis
Robust compressed sensing using generative models. NeurIPS (2020)
Ajil Jalal, Liu Liu, Alexandros G. Dimakis, Constantine Caramanis
Robust compressed sensing of generative models. CoRR (2020)
Giannis Daras, Nikita Kitaev, Augustus Odena, Alexandros G. Dimakis
SMYRF: Efficient Attention using Asymmetric Clustering. CoRR (2020)
Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. CVPR (2020)
Sungsoo Kim, Jin Soo Park, Christos G. Bampis, Jaeseong Lee, Mia K. Markey, Alexandros G. Dimakis, Alan C. Bovik
Adversarial Video Compression Guided by Soft Edge Detection. ICASSP (2020)
Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett
Deep Learning Techniques for Inverse Problems in Imaging. CoRR (2020)
Jay Whang, Qi Lei, Alexandros G. Dimakis
Compressed Sensing with Invertible Generative Models and Dependent Noise. CoRR (2020)
Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett
Deep Learning Techniques for Inverse Problems in Imaging. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis
Model-Based Deep Learning. CoRR (2020)
Matt Jordan, Alexandros G. Dimakis
Exactly Computing the Local Lipschitz Constant of ReLU Networks. CoRR (2020)
Matt Jordan, Alexandros G. Dimakis
Exactly Computing the Local Lipschitz Constant of ReLU Networks. NeurIPS (2020)
Giannis Daras, Nikita Kitaev, Augustus Odena, Alexandros G. Dimakis
SMYRF - Efficient Attention using Asymmetric Clustering. NeurIPS (2020)
Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath
Applications of Common Entropy for Causal Inference. NeurIPS (2020)
Erik M. Lindgren, Jay Whang, Alexandros G. Dimakis
Conditional Sampling from Invertible Generative Models with Applications to Inverse Problems. CoRR (2020)
Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis
Primal-Dual Block Frank-Wolfe. CoRR (2019)
Qi Lei, Jason D. Lee, Alexandros G. Dimakis, Constantinos Daskalakis
SGD Learns One-Layer Networks in WGANs. CoRR (2019)
Sriram Ravula, Alexandros G. Dimakis
One-dimensional Deep Image Prior for Time Series Inverse Problems. CoRR (2019)
Qi Lei, Ajil Jalal, Inderjit S. Dhillon, Alexandros G. Dimakis
Inverting Deep Generative models, One layer at a time. NeurIPS (2019)
Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. CoRR (2019)
Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis
Primal-Dual Block Generalized Frank-Wolfe. NeurIPS (2019)
Matt Jordan, Justin Lewis, Alexandros G. Dimakis
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes. NeurIPS (2019)
Jiacheng Zhuo, Qi Lei, Alexandros G. Dimakis, Constantine Caramanis
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. CoRR (2019)
Shanshan Wu, Sujay Sanghavi, Alexandros G. Dimakis
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models. NeurIPS (2019)
Qi Lei, Ajil Jalal, Inderjit S. Dhillon, Alexandros G. Dimakis
Inverting Deep Generative models, One layer at a time. CoRR (2019)
Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi
Learning Distributions Generated by One-Layer ReLU Networks. NeurIPS (2019)
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan R. Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
SysML: The New Frontier of Machine Learning Systems. CoRR (2019)
Matt Jordan, Justin Lewis, Alexandros G. Dimakis
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes. CoRR (2019)
Matt Jordan, Naren Manoj, Surbhi Goel, Alexandros G. Dimakis
Quantifying Perceptual Distortion of Adversarial Examples. CoRR (2019)
Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi
Learning Distributions Generated by One-Layer ReLU Networks. CoRR (2019)
Erik M. Lindgren, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath
Experimental Design for Cost-Aware Learning of Causal Graphs. CoRR (2018)
Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis, Sriram Vishwanath
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training. ICLR (Poster) (2018)
Yitao Chen, Karthikeyan Shanmugam, Alexandros G. Dimakis
From Centralized to Decentralized Coded Caching. CoRR (2018)
Ashish Bora, Eric Price, Alexandros G. Dimakis
AmbientGAN: Generative models from lossy measurements. ICLR (2018)
Shanshan Wu, Sujay Sanghavi, Alexandros G. Dimakis
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models. CoRR (2018)
David Van Veen, Ajil Jalal, Eric Price, Sriram Vishwanath, Alexandros G. Dimakis
Compressed Sensing with Deep Image Prior and Learned Regularization. CoRR (2018)
Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath
Entropic Latent Variable Discovery. CoRR (2018)
Sungsoo Kim, Jin Soo Park, Christos G. Bampis, Jaeseong Lee, Mia K. Markey, Alexandros G. Dimakis, Alan C. Bovik
Adversarial Video Compression Guided by Soft Edge Detection. CoRR (2018)
Erik M. Lindgren, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath
Experimental Design for Cost-Aware Learning of Causal Graphs. NeurIPS (2018)
Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock
Discrete Attacks and Submodular Optimization with Applications to Text Classification. CoRR (2018)
Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi, Felix X. Yu, Daniel Niels Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar
The Sparse Recovery Autoencoder. CoRR (2018)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh
Scalable Greedy Feature Selection via Weak Submodularity. AISTATS (2017)
Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sujay Sanghavi
Sparse Quadratic Logistic Regression in Sub-quadratic Time. CoRR (2017)
Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath
Cost-Optimal Learning of Causal Graphs. CoRR (2017)
Netanel Raviv, Itzhak Tamo, Rashish Tandon, Alexandros G. Dimakis
Gradient Coding from Cyclic MDS Codes and Expander Graphs. CoRR (2017)
Anh Le, Arash Saber Tehrani, Alexandros G. Dimakis, Athina Markopoulou
Recovery of Packet Losses in Wireless Broadcast for Real-Time Applications. IEEE/ACM Trans. Netw. 25 (2) (2017)
Ethan R. Elenberg, Alexandros G. Dimakis, Moran Feldman, Amin Karbasi
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly. NIPS (2017)
Karthikeyan Shanmugam, Antonia Maria Tulino, Alexandros G. Dimakis
Coded Caching with Linear Subpacketization is Possible using Ruzsa-Szeméredi Graphs. CoRR (2017)
Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai
Model-Powered Conditional Independence Test. NIPS (2017)
Erik M. Lindgren, Alexandros G. Dimakis, Adam R. Klivans
Exact MAP Inference by Avoiding Fractional Vertices. CoRR (2017)
Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis
Compressed Sensing using Generative Models. ICML (2017)
Ethan R. Elenberg, Alexandros G. Dimakis, Moran Feldman, Amin Karbasi
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly. CoRR (2017)
Erik M. Lindgren, Alexandros G. Dimakis, Adam R. Klivans
Exact MAP Inference by Avoiding Fractional Vertices. ICML (2017)
Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai
Causal Best Intervention Identification via Importance Sampling. CoRR (2017)
Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis, Sriram Vishwanath
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training. CoRR (2017)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh
Scalable Greedy Feature Selection via Weak Submodularity. CoRR (2017)
Karthikeyan Shanmugam, Alexandros G. Dimakis, Jaime Llorca, Antonia Maria Tulino
A unified Ruzsa-Szemerédi framework for finite-length coded caching. ACSSC (2017)
Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi
Entropic Causality and Greedy Minimum Entropy Coupling. CoRR (2017)
Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai
Contextual Bandits with Latent Confounders: An NMF Approach. AISTATS (2017)
Erik M. Lindgren, Shanshan Wu, Alexandros G. Dimakis
Leveraging Sparsity for Efficient Submodular Data Summarization. CoRR (2017)
Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi
Entropie causality anc greedy minimum entropy coupling. ISIT (2017)
Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi
Entropic Causal Inference. AAAI (2017)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban
On Approximation Guarantees for Greedy Low Rank Optimization. CoRR (2017)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Joydeep Ghosh, Sahand N. Negahban
On Approximation Guarantees for Greedy Low Rank Optimization. ICML (2017)

Alexandros G. Dimakis.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Alexandros G. Dimakis