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Stefano Ermon — all works

409 works · page 1 of 5 · 1–100 · ← Stefano Ermon

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  1. Direct Preference Optimization: Your Language Model is Secretly a Reward ModelarXiv:2305.18290Rafael Rafailov, Archit Sharma, Eric Mitchell, et al.2023 · 2,896 citations
  2. FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness ↗arXiv:2205.14135 · no summary yetTri Dao et al.2022 · 2,495 citations
  3. Score-Based Generative Modeling through Stochastic Differential EquationsarXiv:2011.13456Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, et al.2020 · 1,680 citations
  4. Combining satellite imagery and machine learning to predict poverty ↗Science · no summary yetNeal Jean et al.2016 · 1,679 citations
  5. Generative Modeling by Estimating Gradients of the Data DistributionarXiv:1907.05600Yang Song, Stefano Ermon2019 · 1,274 citations
  6. Closed-loop optimization of fast-charging protocols for batteries with machine learning ↗Nature · no summary yetPeter M. Attia et al.2020 · 1,155 citations
  7. Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning ↗Nature Communications · no summary yetChi-Sing Ho et al.2019 · 871 citations
  8. Coupling between oxygen redox and cation migration explains unusual electrochemistry in lithium-rich layered oxides ↗Nature Communications · no summary yetWilliam E. Gent et al.2017 · 695 citations
  9. A Survey on Behavior Recognition Using WiFi Channel State Information ↗IEEE Communications Magazine · no summary yetSiamak Yousefi et al.2017 · 611 citations
  10. Denoising Diffusion Implicit ModelsarXiv:2010.02502Jiaming Song, Chenlin Meng, Stefano Ermon2020 · 576 citations
  11. Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJiaxuan You et al.2017 · 566 citations
  12. Using satellite imagery to understand and promote sustainable development ↗Science · no summary yetMarshall Burke et al.2021 · 468 citations
  13. Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetSang Michael Xie et al.2016 · 461 citations
  14. Using publicly available satellite imagery and deep learning to understand economic well-being in Africa ↗Nature Communications · no summary yetChristopher Yeh et al.2020 · 436 citations
  15. SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations ↗arXiv (Cornell University) · no summary yetChenlin Meng et al.2021 · 428 citations
  16. Transfer learning in environmental remote sensing ↗Remote Sensing of Environment · no summary yetYuchi Ma et al.2023 · 426 citations
  17. A DIRT-T Approach to Unsupervised Domain Adaptation ↗arXiv (Cornell University) · no summary yetRui Shu et al.2018 · 413 citations
  18. Generative Adversarial Imitation Learning ↗arXiv:1606.03476 · no summary yetJonathan Ho, Stefano Ermon2016 · 411 citations
  19. On Distillation of Guided Diffusion Models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChenlin Meng et al.2023 · 387 citations
  20. Denoising Diffusion Restoration Models ↗neural information processing systems · no summary yetBahjat Kawar et al.2022 · 383 citations
  21. Accurate Uncertainties for Deep Learning Using Calibrated Regression ↗arXiv (Cornell University) · no summary yetVolodymyr Kuleshov, Nathan Fenner, Stefano Ermon2018 · 379 citations
  22. InfoVAE: Information Maximizing Variational Autoencoders ↗arXiv (Cornell University) · no summary yetShengjia Zhao, Jiaming Song, Stefano Ermon2017 · 359 citations
  23. PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples ↗arXiv (Cornell University) · no summary yetYang Song et al.2017 · 289 citations
  24. Geography-Aware Self-Supervised Learning ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetKumar Ayush et al.2021 · 276 citations
  25. InfoVAE: Balancing Learning and Inference in Variational Autoencoders ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShengjia Zhao, Jiaming Song, Stefano Ermon2019 · 275 citations
  26. MOPO: Model-based Offline Policy Optimization ↗arXiv (Cornell University) · no summary yetTianhe Yu et al.2020 · 260 citations
  27. Deep Transfer Learning for Crop Yield Prediction with Remote Sensing Data ↗ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS) · no summary yetAnna X. Wang et al.2018 · 257 citations
  28. SatMAE: Pre-Training Transformers for Temporal and Multi-Spectral Satellite Imagery ↗neural information processing systems · no summary yetYezhen Cong et al.2022 · 245 citations
  29. End-to-End Learning of Motion Representation for Video Understanding ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLijie Fan et al.2018 · 236 citations
  30. Diffusion Model Alignment Using Direct Preference Optimization ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetBram Wallace et al.2024 · 231 citations
  31. Genome modeling and design across all domains of life with Evo 2 ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetGaryk Brixi et al.2025 · 225 citations
  32. HiPPO: Recurrent Memory with Optimal Polynomial Projections ↗arXiv:2008.07669 · no summary yetAlbert Gu et al.2020 · 205 citations
  33. Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetAditya Grover, Manik Dhar, Stefano Ermon2018 · 204 citations
  34. GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation ↗arXiv (Cornell University) · no summary yetMinkai Xu et al.2022 · 197 citations
  35. Improved Techniques for Training Score-Based Generative Models ↗arXiv (Cornell University) · no summary yetYang Sup Song, Stefano Ermon2020 · 188 citations
  36. HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution ↗arXiv (Cornell University) · no summary yetNguyen, Eric et al.2023 · 184 citations
  37. Hyena Hierarchy: Towards Larger Convolutional Language Models ↗arXiv:2302.10866 · no summary yetMichael Poli et al.2023 · 182 citations
  38. Bayesian Optimization of a Free-Electron Laser ↗Physical Review Letters · no summary yetJoseph Duris et al.2020 · 146 citations
  39. Solving Inverse Problems in Medical Imaging with Score-Based Generative Models ↗arXiv (Cornell University) · no summary yetYang Sup Song et al.2021 · 145 citations
  40. InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations ↗arXiv (Cornell University) · no summary yetYunzhu Li, Jiaming Song, Stefano Ermon2017 · 142 citations
  41. Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols ↗Joule · no summary yetBenben Jiang et al.2021 · 128 citations
  42. Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks ↗IEEE Winter Conference on Applications of Computer Vision · no summary yetVishnu Sarukkai et al.2020 · 125 citations
  43. Multi-Agent Generative Adversarial Imitation Learning ↗arXiv (Cornell University) · no summary yetJiaming Song et al.2018 · 124 citations
  44. Constructing Unrestricted Adversarial Examples with Generative Models ↗arXiv (Cornell University) · no summary yetYang Song et al.2018 · 123 citations
  45. Efficient Object Detection in Large Images Using Deep Reinforcement Learning ↗IEEE Winter Conference on Applications of Computer Vision · no summary yetBurak Uzkent, Christopher Yeh, Stefano Ermon2020 · 121 citations
  46. Towards Deeper Understanding of Variational Autoencoding Models ↗arXiv (Cornell University) · no summary yetShengjia Zhao, Jiaming Song, Stefano Ermon2017 · 119 citations
  47. Sliced Score Matching: A Scalable Approach to Density and Score Estimation ↗arXiv (Cornell University) · no summary yetYang Sup Song et al.2019 · 112 citations
  48. Disentangling Length from Quality in Direct Preference OptimizationFindings of the Association for Computational LinguisticsRyan Park, Rafael Rafailov, Stefano Ermon, et al.2024 · 105 citations
  49. Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution ↗arXiv:2310.16834 · no summary yetAaron Lou, Chenlin Meng, Stefano Ermon2023 · 96 citations
  50. Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods ↗no summary yetRose Rustowicz et al.2019 · 96 citations
  51. Generating Interpretable Poverty Maps using Object Detection in Satellite Images ↗International Joint Conference on Artificial Intelligence · no summary yetKumar Ayush et al.2020 · 95 citations
  52. Adversarial Examples for Natural Language Classification Problems ↗no summary yetVolodymyr Kuleshov et al.2018 · 93 citations
  53. CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation ↗arXiv (Cornell University) · no summary yetYusuke Tashiro et al.2021 · 89 citations
  54. Stochastic Optimization of Sorting Networks via Continuous Relaxations ↗arXiv (Cornell University) · no summary yetAditya Grover et al.2019 · 89 citations
  55. Maximum Likelihood Training of Score-Based Diffusion Models ↗arXiv (Cornell University) · no summary yetYang Sup Song et al.2021 · 87 citations
  56. Predicting Economic Development using Geolocated Wikipedia Articles ↗ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · no summary yetEvan Sheehan et al.2019 · 87 citations
  57. Learning Hierarchical Features from Deep Generative Models ↗International Conference on Machine Learning · no summary yetShengjia Zhao, Jiaming Song, Stefano Ermon2017 · 81 citations
  58. Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting ↗arXiv (Cornell University) · no summary yetAditya Grover et al.2019 · 80 citations
  59. A-NICE-MC: Adversarial Training for MCMC ↗arXiv (Cornell University) · no summary yetJiaming Song, Shengjia Zhao, Stefano Ermon2017 · 80 citations
  60. A Theory of Usable Information Under Computational Constraints ↗arXiv (Cornell University) · no summary yetYilun Xu et al.2020 · 78 citations
  61. Holistic Evaluation of Text-to-Image Models ↗neural information processing systems · no summary yetTony Lee et al.2023 · 77 citations
  62. Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion ↗arXiv (Cornell University) · no summary yetDongjun Kim et al.2023 · 76 citations
  63. Learning When and Where to Zoom With Deep Reinforcement Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetBurak Uzkent, Stefano Ermon2020 · 76 citations
  64. Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ↗arXiv (Cornell University) · no summary yetStefano Ermon et al.2013 · 76 citations
  65. HIVE: Harnessing Human Feedback for Instructional Visual Editing ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetShu Zhang et al.2024 · 74 citations
  66. Weakly Supervised Disentanglement with Guarantees ↗arXiv (Cornell University) · no summary yetRui Shu et al.2019 · 74 citations
  67. Learning Controllable Fair Representations ↗arXiv (Cornell University) · no summary yetJiaming Song et al.2018 · 70 citations
  68. Bias and Generalization in Deep Generative Models: An Empirical Study ↗arXiv (Cornell University) · no summary yetShengjia Zhao et al.2018 · 70 citations
  69. Amortized Inference Regularization ↗arXiv (Cornell University) · no summary yetRui Shu et al.2018 · 68 citations
  70. Reparameterizable Subset Sampling via Continuous Relaxations ↗International Joint Conference on Artificial Intelligence · no summary yetSang Michael Xie, Stefano Ermon2019 · 67 citations
  71. Using machine learning to discover shape descriptors for predicting emulsion stability in a microfluidic channel ↗Soft Matter · no summary yetJian Wei Khor et al.2018 · 66 citations
  72. Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetZhuo Zheng et al.2024 · 64 citations
  73. Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning ↗ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · no summary yetBarak Oshri et al.2018 · 63 citations
  74. Embed and Project: Discrete Sampling with Universal Hashing ↗no summary yetStefano Ermon et al.2013 · 62 citations
  75. Multi-Agent Adversarial Inverse Reinforcement Learning ↗arXiv (Cornell University) · no summary yetLantao Yu, Jiaming Song, Stefano Ermon2019 · 60 citations
  76. Low-density Parity Constraints for Hashing-Based Discrete Integration ↗no summary yetStefano Ermon et al.2014 · 60 citations
  77. GeoLLM: Extracting Geospatial Knowledge from Large Language Models ↗arXiv:2310.06213 · no summary yetRohin Manvi et al.2023 · 58 citations
  78. Farm Parcel Delineation Using Spatio-temporal Convolutional Networks ↗IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yetHan Lin Aung et al.2020 · 58 citations
  79. Learning Neural PDE Solvers with Convergence Guarantees ↗arXiv (Cornell University) · no summary yetJun-Ting Hsieh et al.2019 · 56 citations
  80. Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data ↗arXiv (Cornell University) · no summary yetFahim Tajwar et al.2024 · 54 citations
  81. Towards general-purpose representation learning of polygonal geometries ↗GeoInformatica · no summary yetGengchen Mai et al.2022 · 53 citations
  82. Scalable deep learning to identify brick kilns and aid regulatory capacity ↗Proceedings of the National Academy of Sciences · no summary yetJihyeon Lee et al.2021 · 53 citations
  83. Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning ↗arXiv (Cornell University) · no summary yetAnthony Perez et al.2017 · 53 citations
  84. Diversity can be Transferred: Output Diversification for White- and Black-box Attacks ↗arXiv (Cornell University) · no summary yetYusuke Tashiro, Yang Song, Stefano Ermon2020 · 51 citations
  85. Feature-Enhanced Probabilistic Models for Diffusion Network Inference ↗Lecture notes in computer science · no summary yetLiaoruo Wang, Stefano Ermon, John E. Hopcroft2012 · 50 citations
  86. Targeted materials discovery using Bayesian algorithm execution ↗npj Computational Materials · no summary yetSathya R. Chitturi et al.2024 · 48 citations
  87. Parallel Sampling of Diffusion Models ↗neural information processing systems · no summary yetAndy Shih et al.2023 · 48 citations
  88. Graphite: Iterative Generative Modeling of Graphs ↗arXiv (Cornell University) · no summary yetAditya Grover, Aaron Zweig, Stefano Ermon2018 · 48 citations
  89. Sphere2Vec: A general-purpose location representation learning over a spherical surface for large-scale geospatial predictions ↗ISPRS Journal of Photogrammetry and Remote Sensing · no summary yetGengchen Mai et al.2023 · 47 citations
  90. End-to-End Diffusion Latent Optimization Improves Classifier Guidance ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetBram Wallace et al.2023 · 47 citations
  91. Efficient Poverty Mapping from High Resolution Remote Sensing Images ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetKumar Ayush et al.2021 · 47 citations
  92. D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation ↗neural information processing systems · no summary yetAbhishek Sinha et al.2021 · 47 citations
  93. Understanding the Limitations of Variational Mutual Information Estimators ↗arXiv (Cornell University) · no summary yetJiaming Song, Stefano Ermon2019 · 47 citations
  94. Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance ↗arXiv (Cornell University) · no summary yetNeal Jean, Sang Michael Xie, Stefano Ermon2018 · 47 citations
  95. Large Language Models are Geographically Biased ↗arXiv:2402.02680 · no summary yetRohin Manvi et al.2024 · 46 citations
  96. Sparse Gaussian processes for Bayesian optimization ↗Uncertainty in Artificial Intelligence · no summary yetMitchell McIntire, Daniel F. Ratner, Stefano Ermon2016 · 45 citations
  97. Geometric Latent Diffusion Models for 3D Molecule Generation ↗arXiv (Cornell University) · no summary yetMinkai Xu et al.2023 · 43 citations
  98. Modeling Sparse Deviations for Compressed Sensing using Generative Models ↗arXiv (Cornell University) · no summary yetManik Dhar, Aditya Grover, Stefano Ermon2018 · 43 citations
  99. Model-Free Imitation Learning with Policy Optimization ↗arXiv (Cornell University) · no summary yetJonathan Ho, Jayesh K. Gupta, Stefano Ermon2016 · 43 citations
  100. Boosted Generative Models ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetAditya Grover, Stefano Ermon2018 · 42 citations

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