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Alexandros G. Dimakis

  1. GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
    2025/04/27 by Lakshya A Agrawal, Shangyin Tan, Agrawal, Lakshya A +33 · 7 voices · 70 citations
    Computer Science · #Machine Learning and Data Classification #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #cs.AI #cs.CL #cs.LG #cs.SE
  2. DataComp-LM: In search of the next generation of training sets for language models
    2024/06/17 by Jeffrey Li, Alex Fang, Alex Chengyu Fang +121 · 2 voices · 82 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG
  3. OpenThoughts: Data Recipes for Reasoning Models
    2025/06/04 by Etash Guha, Ryan Marten, Guha, Etash +102 · 2 voices · 64 citations
    Computer Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #Mathematics, Computing, and Information Processing #cs.LG
  4. Compressed Sensing using Generative Models
    2017/03/09 by Ashish Bora, Bora, Ashish, Ajil Jalal +5 · 41 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Integrated Circuits and Semiconductor Failure Analysis #Image and Signal Denoising Methods
  5. Deep Learning Techniques for Inverse Problems in Imaging
    2020/05/12 by Greg Ongie, Ongie, Gregory, Ajil Jalal +9 · 30 citations
    Medicine · Engineering · #Medical Imaging Techniques and Applications #Sparse and Compressive Sensing Techniques #Advanced X-ray and CT Imaging
  6. Robust Compressed Sensing MRI with Deep Generative Priors
    2021/08/03 by Ajil Jalal, Jalal, Ajil, Marius Arvinte +9 · 26 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Generative Adversarial Networks and Image Synthesis #Medical Image Segmentation Techniques
  7. A Survey on Diffusion Models for Inverse Problems
    2024/09/30 by Giannis Daras, Hyungjin Chung, Daras, Giannis +13 · 55 citations
    Computer Science · Mathematics · #Advanced Mathematical Modeling in Engineering #Numerical methods in inverse problems #Differential Equations and Numerical Methods
  8. Model-Based Deep Learning
    2020/12/15 by Nir Shlezinger, Shlezinger, Nir, Jay Whang +5 · 21 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning and Data Classification #Model Reduction and Neural Networks #Neural Networks and Applications #Signal Processing (eess.SP) #electronic engineering #information engineering
  9. Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
    2023/07/02 by Litu Rout, Negin Raoof, Rout, Litu +9 · 24 citations
    Computer Science · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical methods in inverse problems
  10. Locally Repairable Codes
    2012/06/17 by Dimitris Papailiopoulos, Papailiopoulos, Dimitris S., Alexandros G. Dimakis +1 · 7 citations
    Computer Science · #Advanced Data Storage Technologies #Caching and Content Delivery #Distributed systems and fault tolerance
  11. Compressed Sensing with Deep Image Prior and Learned Regularization
    2018/06/17 by Dave Van Veen, Ajil Jalal, Van Veen, Dave +9 · 14 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Photoacoustic and Ultrasonic Imaging #Image and Signal Denoising Methods
  12. Learning Causal Graphs with Small Interventions
    2015/10/30 by Murat Kocaoglu, Shanmugam, Karthikeyan, Alexandros G. Dimakis +4 · 6 citations
    Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Machine Learning and Algorithms #Advanced Causal Inference Techniques
  13. Optimal Locally Repairable Codes and Connections to Matroid Theory
    2013/01/31 by Itzhak Tamo, Dimitris Papailiopoulos, Tamo, Itzhak +3 · 6 citations
    Computer Science · #Advanced Data Storage Technologies #Caching and Content Delivery #Distributed systems and fault tolerance #FOS: Computer and information sciences #Information Theory (cs.IT)
  14. Language models scale reliably with over-training and on downstream tasks
    2024/03/13 by Samir Yitzhak Gadre, Georgios Smyrnis, Gadre, Samir Yitzhak +45 · 12 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  15. Cost-Optimal Learning of Causal Graphs
    2017/03/08 by Murat Kocaoglu, Alexandros G. Dimakis, Kocaoglu, Murat +3 · 4 citations
    Computer Science · Engineering · #Bayesian Modeling and Causal Inference #Machine Learning and Algorithms #Fault Detection and Control Systems
  16. Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
    2018/06/26 by Shanshan Wu, Alexandros G. Dimakis, Wu, Shanshan +13 · 5 citations
    Engineering · #CCD and CMOS Imaging Sensors #Electrical and Bioimpedance Tomography #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
  17. Composing Normalizing Flows for Inverse Problems
    2020/02/26 by Jay Whang, Erik Lindgren, Whang, Jay +3 · 4 citations
    Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Adversarial Robustness in Machine Learning
  18. Soft Diffusion: Score Matching for General Corruptions
    2022/09/12 by Giannis Daras, Daras, Giannis, Mauricio Delbracio +7 · 5 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Mathematical Biology Tumor Growth
  19. Model-Powered Conditional Independence Test
    2017/09/18 by Rajat Sen, Sen, Rajat, Ananda Theertha Suresh +6 · 3 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference
  20. A Survey on Network Codes for Distributed Storage
    2010/04/26 by Alexandros G. Dimakis, Dimakis, Alexandros G., Kannan Ramchandran +5 · 3 citations
    Computer Science · #Cooperative Communication and Network Coding #Advanced Data Storage Technologies #Caching and Content Delivery
  21. Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
    2024/03/20 by Giannis Daras, Alexandros G. Dimakis, Daras, Giannis +3 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG)
  22. LDPC Codes for Compressed Sensing
    2012/01/31 by Alexandros G. Dimakis, Roxana Smarandache, Pascal O. Vontobel · 5 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Error Correcting Code Techniques #Energy Harvesting in Wireless Networks
  23. Scalable Greedy Feature Selection via Weak Submodularity
    2017/03/08 by Rajiv Khanna, Ethan R. Elenberg, Khanna, Rajiv +7 · 2 citations
    Computer Science · Engineering · #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  24. SMYRF: Efficient Attention using Asymmetric Clustering
    2020/10/11 by Giannis Daras, Daras, Giannis, Nikita Kitaev +5 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  25. Guessing Facets: Polytope Structure and Improved LP Decoder
    2006/08/05 by Alexandros G. Dimakis, Dimakis, Alexandros G., Martin J. Wainwright +1 · 2 citations
    Computer Science · Engineering · #Advanced Wireless Communication Techniques #Coding theory and cryptography #Error Correcting Code Techniques #FOS: Computer and information sciences #Information Theory (cs.IT)
  26. Which questions should I answer? Salience Prediction of Inquisitive Questions
    2024/04/16 by Yating Wu, Wu, Yating, Ritika Mangla +7 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
  27. Coded Caching with Linear Subpacketization is Possible using\n Ruzsa-Szem 'eredi Graphs
    2017/01/24 by Antonia M. Tulino, Shanmugam, Karthikeyan, Tulino, Antonia M. +2 · 1 citation
    Computer Science · #Caching and Content Delivery #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT) #Mobile Ad Hoc Networks
  28. Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
    2017/03/08 by Ethan R. Elenberg, Elenberg, Ethan R., Alexandros G. Dimakis +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
  29. One-dimensional Deep Image Prior for Time Series Inverse Problems
    2019/04/18 by Sriram Ravula, Ravula, Sriram, Alexandros G. Dimakis +1 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques
  30. When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models
    2024/04/12 by Sunny Sanyal, Sanyal, Sunny, Ravid Shwartz-Ziv +5 · 2 voices · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling #cs.AI #cs.CL #cs.LG
  31. optimizeanything: Unified Text Optimization can Outperform Specialized Systems
    2026/05/19 by Lakshya A Agrawal, Donghyun Lee, Shangyin Tan +11 · 1 voice
    Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG #cs.NE #cs.SE
  32. Adversarial Video Compression Guided by Soft Edge Detection
    2018/11/26 by Sungsoo Kim, Sung‐Soo Kim, Kim, Sungsoo +13 · 1 voice
    Computer Science · Engineering · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #cs.CV #eess.IV #electronic engineering #information engineering
  33. The Robust Manifold Defense: Adversarial Training using Generative Models
    2017/12/26 by Ajil Jalal, Jalal, Ajil, Andrew Ilyas +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  34. Zonotope Domains for Lagrangian Neural Network Verification
    2022/10/14 by Matthew J. Jordan, Jordan, Matt, Jonathan Hayase +5 · 1 citation
    Computer Science · Engineering · Materials Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
  35. AI-to-AI Feedback: Amplified Intelligence — Prior Art and Governance Implications for Multi-Model Advisory Architectures
    2025/10/02 by Alan Zhu, Asawa, Parth, Zhu, Alan +7 · 3 citations
    Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Machine Learning and Data Classification #Topic Modeling
  36. One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers
    2023/06/06 by Sriram Ravula, Varun Gorti, Ravula, Sriram +17 · 1 citation
    Engineering · Physics and Astronomy · #Electromagnetic Compatibility and Noise Suppression #Electromagnetic Scattering and Analysis #Electromagnetic Compatibility and Measurements
  37. Applications of Common Entropy for Causal Inference
    2018/07/26 by Murat Kocaoglu, Sanjay Shakkottai, Kocaoglu, Murat +7 · 1 citation
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
  38. FrogWild! -- Fast PageRank Approximations on Graph Engines
    2015/02/15 by Ioannis Mitliagkas, Michael Borokhovich, Mitliagkas, Ioannis +5 · 1 citation
    Computer Science · #Graph Theory and Algorithms #Data Management and Algorithms #Web Data Mining and Analysis