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Stefano Ermon

Identifiers

  • name variant Stefano Ermon 0.60 · backfill

Papers (90)

  1. Mitigating Bias in Locally Constrained Decoding via Tractable Proposals cs.CL · 2026 · author #6
  2. Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models cs.LG · 2026 · author #3
  3. One-Step Generative Modeling via Wasserstein Gradient Flows cs.LG · 2026 · author #5
  4. Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations cs.AI · 2026 · author #9
  5. Generative Modeling with Flux Matching cs.LG · 2026 · author #3
  6. ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space cs.LG · 2026 · author #5
  7. A satellite foundation model for improved wealth monitoring cs.CY · 2026 · author #6
  8. Evaluation-driven Scaling for Scientific Discovery cs.LG · 2026 · author #21
  9. Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics cs.LG · 2026 · author #6
  10. A Unified View of Score-Based and Drifting Models cs.LG · 2026 · author #7
  11. GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning cs.LG · 2026 · author #6
  12. Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation cs.LG · 2025 · author #6
  13. Generative Modeling Enables Molecular Structure Retrieval from Coulomb Explosion Imaging physics.chem-ph · 2025 · author #14
  14. The Principles of Diffusion Models cs.LG · 2025 · author #5
  15. DiffusionNFT: Online Diffusion Reinforcement with Forward Process cs.LG · 2025 · author #8
  16. Inference-Time Scaling of Diffusion Language Models via Trajectory Refinement cs.LG · 2025 · author #6
  17. Mercury: Ultra-Fast Language Models Based on Diffusion cs.CL · 2025 · author #11
  18. FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users cs.LG · 2025 · author #5
  19. Humanity's Last Exam cs.LG · 2025 · author #915
  20. Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution stat.ML · 2023 · author #3
  21. Direct Preference Optimization: Your Language Model is Secretly a Reward Model cs.LG · 2023 · author #4
  22. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models cs.CL · 2022 · author #386
  23. FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness cs.LG · 2022 · author #3
  24. On the Opportunities and Risks of Foundation Models cs.LG · 2021 · author #23
  25. SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations cs.CV · 2021 · author #7
  26. Score-Based Generative Modeling through Stochastic Differential Equations cs.LG · 2020 · author #5
  27. Denoising Diffusion Implicit Models cs.LG · 2020 · author #3
  28. Generative Modeling by Estimating Gradients of the Data Distribution cs.LG · 2019 · author #2
  29. Calibrated Model-Based Deep Reinforcement Learning cs.LG · 2019 · author #6
  30. Sliced Score Matching: A Scalable Approach to Density and Score Estimation cs.LG · 2019 · author #4
  31. Predicting Economic Development using Geolocated Wikipedia Articles cs.LG · 2019 · author #8
  32. Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery cs.CV · 2019 · author #9
  33. Distributed generation of privacy preserving data with user customization cs.LG · 2019 · author #3
  34. Stochastic Optimization of Sorting Networks via Continuous Relaxations stat.ML · 2019 · author #4
  35. Training Variational Autoencoders with Buffered Stochastic Variational Inference stat.ML · 2019 · author #4
  36. Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty cs.CV · 2019 · author #3
  37. Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization stat.ML · 2018 · author #2
  38. Neural Joint Source-Channel Coding cs.LG · 2018 · author #5
  39. Bias and Generalization in Deep Generative Models: An Empirical Study cs.LG · 2018 · author #6
  40. Learning to Interpret Satellite Images Using Wikipedia cs.CV · 2018 · author #7
  41. Multi-Agent Generative Adversarial Imitation Learning cs.LG · 2018 · author #4
  42. Improved Training with Curriculum GANs cs.LG · 2018 · author #3
  43. Modeling Sparse Deviations for Compressed Sensing using Generative Models stat.ML · 2018 · author #3
  44. Accurate Uncertainties for Deep Learning Using Calibrated Regression cs.LG · 2018 · author #3
  45. The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models stat.ML · 2018 · author #3
  46. Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning cs.CY · 2018 · author #9
  47. Adversarial Constraint Learning for Structured Prediction cs.LG · 2018 · author #5
  48. Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance cs.LG · 2018 · author #3
  49. Amortized Inference Regularization stat.ML · 2018 · author #5
  50. Constructing Unrestricted Adversarial Examples with Generative Models cs.LG · 2018 · author #4
  51. Tile2Vec: Unsupervised representation learning for spatially distributed data cs.CV · 2018 · author #6
  52. Variational Rejection Sampling stat.ML · 2018 · author #5
  53. End-to-End Learning of Motion Representation for Video Understanding cs.CV · 2018 · author #4
  54. Best arm identification in multi-armed bandits with delayed feedback cs.LG · 2018 · author #11
  55. Graphite: Iterative Generative Modeling of Graphs stat.ML · 2018 · author #3
  56. Accelerating Natural Gradient with Higher-Order Invariance cs.LG · 2018 · author #3
  57. A DIRT-T Approach to Unsupervised Domain Adaptation stat.ML · 2018 · author #4
  58. Approximate Inference via Weighted Rademacher Complexity cs.LG · 2018 · author #3
  59. Shape optimization in laminar flow with a label-guided variational autoencoder cs.CE · 2017 · author #3
  60. Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces cs.AI · 2017 · author #2
  61. Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans cs.LG · 2017 · author #4
  62. Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning stat.ML · 2017 · author #6
  63. Neural Variational Inference and Learning in Undirected Graphical Models cs.LG · 2017 · author #2
  64. PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples cs.LG · 2017 · author #4
  65. A Survey of Human Activity Recognition Using WiFi CSI cs.AI · 2017 · author #4
  66. Audio Super Resolution using Neural Networks cs.SD · 2017 · author #3
  67. Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search cs.LG · 2017 · author #3
  68. A-NICE-MC: Adversarial Training for MCMC stat.ML · 2017 · author #3
  69. InfoVAE: Information Maximizing Variational Autoencoders cs.LG · 2017 · author #3
  70. Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models cs.LG · 2017 · author #3
  71. InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations cs.LG · 2017 · author #3
  72. On the Limits of Learning Representations with Label-Based Supervision cs.LG · 2017 · author #4
  73. Towards Deeper Understanding of Variational Autoencoding Models cs.LG · 2017 · author #3
  74. Boosted Generative Models cs.LG · 2017 · author #2
  75. Learning Hierarchical Features from Generative Models cs.LG · 2017 · author #3
  76. General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis cs.DM · 2017 · author #2
  77. Solving Marginal MAP Problems with NP Oracles and Parity Constraints cs.AI · 2016 · author #3
  78. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge cs.AI · 2016 · author #2
  79. Estimating Uncertainty Online Against an Adversary cs.LG · 2016 · author #2
  80. Generative Adversarial Imitation Learning cs.LG · 2016 · author #2
  81. Model-Free Imitation Learning with Policy Optimization cs.LG · 2016 · author #3
  82. Closing the Gap Between Short and Long XORs for Model Counting cs.CC · 2015 · author #4
  83. Tight Variational Bounds via Random Projections and I-Projections cs.LG · 2015 · author #3
  84. Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping cs.CV · 2015 · author #5
  85. Variable Elimination in the Fourier Domain cs.AI · 2015 · author #2
  86. Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery cs.AI · 2014 · author #1
  87. Optimization With Parity Constraints: From Binary Codes to Discrete Integration cs.AI · 2013 · author #1
  88. Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization cs.LG · 2013 · author #1
  89. Uniform Solution Sampling Using a Constraint Solver As an Oracle cs.AI · 2012 · author #1
  90. Playing games against nature: optimal policies for renewable resource allocation cs.AI · 2012 · author #1

Mentions

  • 2606.01926 #6 · arxiv_oai · confidence 0.70 Stefano Ermon
  • 2601.22651 #6 · arxiv_oai · confidence 0.70 Stefano Ermon
  • 1411.7441 #1 · backfill · confidence 0.70 Stefano Ermon
  • 1309.6827 #1 · backfill · confidence 0.70 Stefano Ermon
  • 2605.11755 #5 · arxiv_oai · confidence 0.70 Stefano Ermon
  • 2605.26491 #3 · arxiv_oai · confidence 0.70 Stefano Ermon
  • 1302.6677 #1 · backfill · confidence 0.70 Stefano Ermon
  • 1210.4861 #1 · backfill · confidence 0.70 Stefano Ermon
  • 1203.3478 #1 · backfill · confidence 0.70 Stefano Ermon
  • 2603.07514 #7 · arxiv_oai · confidence 0.70 Stefano Ermon
  • 2510.21890 #5 · arxiv_oai · confidence 0.70 Stefano Ermon
  • 1907.05600 #2 · arxiv_oai · confidence 0.70 Stefano Ermon
  • 2506.17298 #11 · arxiv_oai · confidence 0.70 Stefano Ermon

Frequent Coauthors