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Stefano Ermon — all works

409 works · page 3 of 5 · 201–300 · ← Stefano Ermon

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  1. Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetLantao Yu et al.2023 · 9 citations
  2. Denoising Diffusion Bridge Models ↗arXiv (Cornell University) · no summary yetLinqi Zhou et al.2023 · 9 citations
  3. Imitation Learning by Estimating Expertise of Demonstrators ↗arXiv (Cornell University) · no summary yetMark Beliaev et al.2022 · 9 citations
  4. Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information ↗arXiv (Cornell University) · no summary yetWillie Neiswanger, Ke Alexander Wang, Stefano Ermon2021 · 9 citations
  5. PiRank: Scalable Learning To Rank via Differentiable Sorting ↗arXiv (Cornell University) · no summary yetRobin M. E. Swezey et al.2020 · 9 citations
  6. Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search ↗arXiv (Cornell University) · no summary yetStephen Mussmann, Levy, Daniel, Stefano Ermon2017 · 9 citations
  7. Beyond parity constraints: Fourier analysis of hash functions for inference ↗International Conference on Machine Learning · no summary yetTudor Achim, Ashish Sabharwal, Stefano Ermon2016 · 9 citations
  8. Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization ↗neural information processing systems · no summary yetSiyi Gu et al.2024 · 8 citations
  9. Long Horizon Temperature Scaling ↗arXiv (Cornell University) · no summary yetShih, Andy, Dorsa Sadigh, Stefano Ermon2023 · 8 citations
  10. Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives ↗Machine Learning Science and Technology · no summary yetSara Miskovich et al.2023 · 8 citations
  11. Manifold Preserving Guided Diffusion ↗arXiv (Cornell University) · no summary yetHe, Yutong et al.2023 · 8 citations
  12. Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution ↗arXiv (Cornell University) · no summary yetYutong He et al.2022 · 8 citations
  13. Reward Identification in Inverse Reinforcement Learning ↗International Conference on Machine Learning · no summary yetKuno Kim et al.2021 · 8 citations
  14. Negative Data Augmentation ↗arXiv (Cornell University) · no summary yetAbhishek Sinha et al.2021 · 8 citations
  15. Anytime Sampling for Autoregressive Models via Ordered Autoencoding ↗arXiv (Cornell University) · no summary yetYilun Xu et al.2021 · 8 citations
  16. Efficient Learning of Generative Models via Finite-Difference Score Matching ↗arXiv (Cornell University) · no summary yetTianyu Pang et al.2020 · 8 citations
  17. Predictive Coding for Locally-Linear Control ↗arXiv (Cornell University) · no summary yetRui Shu et al.2020 · 8 citations
  18. Evaluating the Disentanglement of Deep Generative Models through Manifold Topology ↗arXiv (Cornell University) · no summary yetSharon Zhou et al.2020 · 8 citations
  19. Neural Variational Inference and Learning in Undirected Graphical Models ↗arXiv (Cornell University) · no summary yetVolodymyr Kuleshov, Stefano Ermon2017 · 8 citations
  20. Structured Scaling of AI Discovery Across Diverse Scientific Domains ↗arXiv (Cornell University) · no summary yetHaotian Ye et al.2026 · 7 citations
  21. Geometric Trajectory Diffusion Models ↗neural information processing systems · no summary yetJiaqi Han et al.2024 · 7 citations
  22. TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation ↗arXiv (Cornell University) · no summary yetShi, Juntong et al.2024 · 7 citations
  23. Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations ↗neural information processing systems · no summary yetNikil Roashan Selvam, Amil Merchant, Stefano Ermon2024 · 7 citations
  24. Equivariant Graph Neural Operator for Modeling 3D Dynamics ↗arXiv (Cornell University) · no summary yetMinkai Xu et al.2024 · 7 citations
  25. Consistency Flow Matching: Defining Straight Flows with Velocity Consistency ↗arXiv (Cornell University) · no summary yetLing Xiao Yang et al.2024 · 7 citations
  26. SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking ↗arXiv (Cornell University) · no summary yetChris Cundy, Stefano Ermon2023 · 7 citations
  27. Extreme Q-Learning: MaxEnt RL without Entropy ↗arXiv (Cornell University) · no summary yetDivyansh Garg et al.2023 · 7 citations
  28. Understanding economic development in rural Africa using satellite imagery, building footprints and deep models ↗ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · no summary yetAmna Elmustafa et al.2022 · 7 citations
  29. FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation ↗arXiv (Cornell University) · no summary yetChieh-Hsin Lai et al.2022 · 7 citations
  30. Conditional Imitation Learning for Multi-Agent Games ↗ACM/IEEE International Conference on Human-Robot Interaction (HRI) · no summary yetAndy Shih, Stefano Ermon, Dorsa Sadigh2022 · 7 citations
  31. Probabilistic Circuits for Variational Inference in Discrete Graphical Models ↗arXiv (Cornell University) · no summary yetAndy Shih, Stefano Ermon2020 · 7 citations
  32. Adaptive Hashing for Model Counting. ↗Uncertainty in Artificial Intelligence · no summary yetJonathan Kuck et al.2019 · 7 citations
  33. Adaptive Antithetic Sampling for Variance Reduction ↗International Conference on Machine Learning · no summary yetHongyu Ren, Shengjia Zhao, Stefano Ermon2019 · 7 citations
  34. Accelerating Natural Gradient with Higher-Order Invariance ↗arXiv (Cornell University) · no summary yetYang Song, Jiaming Song, Stefano Ermon2018 · 7 citations
  35. Shape optimization in laminar flow with a label-guided variational autoencoder ↗arXiv (Cornell University) · no summary yetStephan Eismann, Stefan H. Bartzsch, Stefano Ermon2017 · 7 citations
  36. Importance sampling over sets: a new probabilistic inference scheme ↗no summary yetStefan Hadjis, Stefano Ermon2015 · 7 citations
  37. Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective ↗arXiv (Cornell University) · no summary yetJingyang Ou et al.2025 · 6 citations
  38. Scaling Riemannian Diffusion Models ↗neural information processing systems · no summary yetAaron Lou et al.2023 · 6 citations
  39. Sample Efficient Preference Alignment in LLMs via Active Exploration ↗arXiv (Cornell University) · no summary yetViraj Mehta et al.2023 · 6 citations
  40. Featurized Density Ratio Estimation ↗arXiv (Cornell University) · no summary yetKristy Choi, Madeline Liao, Stefano Ermon2021 · 6 citations
  41. Local Calibration: Metrics and Recalibration ↗arXiv (Cornell University) · no summary yetRachel Luo et al.2021 · 6 citations
  42. D2C: Diffusion-Denoising Models for Few-shot Conditional Generation ↗arXiv (Cornell University) · no summary yetAbhishek Sinha et al.2021 · 6 citations
  43. Unsupervised Calibration under Covariate Shift ↗arXiv (Cornell University) · no summary yetAnusri Pampari, Stefano Ermon2020 · 6 citations
  44. Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation ↗arXiv:2002.03629 · no summary yetYang Song et al.2020 · 6 citations
  45. Streamlining variational inference for constraint satisfaction problems* ↗Journal of Statistical Mechanics Theory and Experiment · no summary yetAditya Grover, Tudor Achim, Stefano Ermon2019 · 6 citations
  46. Variational Rejection Sampling ↗arXiv (Cornell University) · no summary yetAditya Grover et al.2018 · 6 citations
  47. A Lagrangian Perspective on Latent Variable Generative Models ↗Uncertainty in Artificial Intelligence · no summary yetShengjia Zhao, Jiaming Song, Stefano Ermon2018 · 6 citations
  48. Variable Elimination in the Fourier Domain ↗arXiv (Cornell University) · no summary yetYexiang Xue et al.2015 · 6 citations
  49. Accelerated Adaptive Markov Chain for Partition Function Computation ↗no summary yetStefano Ermon et al.2011 · 6 citations
  50. A flat histogram method for computing the density of states of combinatorial problems ↗no summary yetStefano Ermon, Carla Pedro Gomes, Bart Selman2011 · 6 citations
  51. Exploring Diffusion Transformer Designs via Grafting ↗neural information processing systems · no summary yetKeshigeyan Chandrasegaran et al.2025 · 5 citations
  52. Personalized Preference Fine-tuning of 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 yetMeihua Dang et al.2025 · 5 citations
  53. FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users ↗arXiv (Cornell University) · no summary yetAnikait Singh et al.2025 · 5 citations
  54. TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data ↗arXiv (Cornell University) · no summary yetJeremy Irvin et al.2024 · 5 citations
  55. f-PO: Generalizing Preference Optimization with f-divergence Minimization ↗arXiv (Cornell University) · no summary yetHan, Jiaqi et al.2024 · 5 citations
  56. Generalizing Bayesian Optimization with Decision-Theoretic Entropies ↗neural information processing systems · no summary yetWillie Neiswanger et al.2022 · 5 citations
  57. Transform Once: Efficient Operator Learning in Frequency Domain ↗neural information processing systems · no summary yetMichael Poli et al.2022 · 5 citations
  58. Density Ratio Estimation via Infinitesimal Classification ↗arXiv (Cornell University) · no summary yetKristy Choi et al.2021 · 5 citations
  59. An Experimental Design Perspective on Model-Based Reinforcement Learning ↗arXiv (Cornell University) · no summary yetViraj Mehta et al.2021 · 5 citations
  60. Gaussianization Flows ↗arXiv (Cornell University) · no summary yetChenlin Meng et al.2020 · 5 citations
  61. Approximating the Permanent by Sampling from Adaptive Partitions ↗arXiv (Cornell University) · no summary yetJonathan Kuck et al.2019 · 5 citations
  62. Domain Adaptation for Human Fall Detection Using WiFi Channel State Information ↗Studies in computational intelligence · no summary yetHirokazu Narui et al.2019 · 5 citations
  63. Bridging the Gap Between f-GANs and Wasserstein GANs ↗arXiv (Cornell University) · no summary yetJiaming Song, Stefano Ermon2019 · 5 citations
  64. A Survey of Human Activity Recognition Using WiFi CSI ↗arXiv (Cornell University) · no summary yetSiamak Yousefi et al.2017 · 5 citations
  65. Solving Marginal MAP Problems with NP Oracles and Parity Constraints ↗arXiv (Cornell University) · no summary yetYexiang Xue et al.2016 · 5 citations
  66. Tight Variational Bounds via Random Projections and I-Projections ↗arXiv (Cornell University) · no summary yetLun-Kai Hsu, Tudor Achim, Stefano Ermon2015 · 5 citations
  67. Generative modeling enables molecular structure retrieval from Coulomb explosion imaging ↗Nature Communications · no summary yetXiang Li et al.2026 · 4 citations
  68. The Principles of Diffusion Models ↗arXiv (Cornell University) · no summary yetLai, Chieh-Hsin et al.2025 · 4 citations
  69. Data-regularized Reinforcement Learning for Diffusion Models at Scale ↗arXiv:2512.04332 · no summary yetHaotian Ye et al.2025 · 4 citations
  70. On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization ↗arXiv (Cornell University) · no summary yetChieh-Hsin Lai et al.2023 · 4 citations
  71. Deep Latent State Space Models for Time-Series Generation ↗arXiv (Cornell University) · no summary yetLinqi Zhou et al.2022 · 4 citations
  72. BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery ↗arXiv (Cornell University) · no summary yetChris Cundy, Aditya Grover, Stefano Ermon2021 · 4 citations
  73. Imitation with Neural Density Models ↗arXiv (Cornell University) · no summary yetKuno Kim et al.2020 · 4 citations
  74. Approximating Human Judgment of Generated Image Quality ↗arXiv (Cornell University) · no summary yetY. Alex Kolchinski et al.2019 · 4 citations
  75. Training Variational Autoencoders with Buffered Stochastic Variational Inference ↗arXiv (Cornell University) · no summary yetRui Shu et al.2019 · 4 citations
  76. Variational Bayes on Monte Carlo Steroids ↗neural information processing systems · no summary yetAditya Grover, Stefano Ermon2016 · 4 citations
  77. Playing games against nature: optimal policies for renewable resource allocation ↗arXiv (Cornell University) · no summary yetStefano Ermon et al.2012 · 4 citations
  78. A Unified View of Score-Based and Drifting Models ↗arXiv (Cornell University) · no summary yetChieh-Hsin Lai et al.2026 · 3 citations
  79. CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow Map Models ↗arXiv:2509.24526 · no summary yetZheyuan Hu et al.2025 · 3 citations
  80. Earth Embeddings: Towards AI-centric Representations of our Planet ↗no summary yetKonstantin Klemmer et al.2025 · 3 citations
  81. Generative Fractional Diffusion Models ↗neural information processing systems · no summary yetGabriel Nobis et al.2024 · 3 citations
  82. Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetTailin Wu et al.2024 · 3 citations
  83. SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution ↗arXiv (Cornell University) · no summary yetGengchen Mai et al.2023 · 3 citations
  84. Challenges in KDD and ML for Sustainable Development ↗no summary yetLaure Berti‐Équille et al.2021 · 3 citations
  85. Improved Autoregressive Modeling with Distribution Smoothing ↗arXiv (Cornell University) · no summary yetChenlin Meng et al.2021 · 3 citations
  86. A Unified Framework for Multi-distribution Density Ratio Estimation ↗arXiv (Cornell University) · no summary yetLantao Yu, Yujia Jin, Stefano Ermon2021 · 3 citations
  87. Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration ↗arXiv (Cornell University) · no summary yetShengjia Zhao, Stefano Ermon2020 · 3 citations
  88. Distributed generation of privacy preserving data with user customization ↗arXiv (Cornell University) · no summary yetChen, Xiao et al.2019 · 3 citations
  89. Generative Adversarial Learning of Markov Chains ↗International Conference on Learning Representations · no summary yetJiaming Song, Shengjia Zhao, Stefano Ermon2017 · 3 citations
  90. Collaborative multiagent Gaussian inference in a dynamic environment using belief propagation ↗no summary yetStefano Ermon, Carla Pedro Gomes, Bart Selman2010 · 3 citations
  91. One-Step Generative Modeling via Wasserstein Gradient Flows ↗arXiv (Cornell University) · no summary yetJiaqi Han et al.2026 · 2 citations
  92. CHORDS: Diffusion Sampling Accelerator with Multi-Core Hierarchical ODE Solvers ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetJiaqi Han et al.2025 · 2 citations
  93. MeanFlow Transformers with Representation Autoencoders ↗arXiv (Cornell University) · no summary yetZheyuan Hu et al.2025 · 2 citations
  94. Divergence Minimization Preference Optimization for Diffusion Model Alignment ↗arXiv (Cornell University) · no summary yetBinxu Li et al.2025 · 2 citations
  95. GeoEvolve: Automating Geospatial Model Discovery via Multi-Agent Large Language Models ↗arXiv (Cornell University) · no summary yetPeng Luo et al.2025 · 2 citations
  96. Dynamic, High-Resolution Wealth Measurement in Data-Scarce Environments ↗World Bank, Washington, DC eBooks · no summary yetZhuo Zheng et al.2025 · 2 citations
  97. State-Free Inference of State-Space Models: The Transfer Function Approach ↗arXiv (Cornell University) · no summary yetRom N. Parnichkun et al.2024 · 2 citations
  98. Building Coverage Estimation with Low-resolution Remote Sensing Imagery ↗arXiv (Cornell University) · no summary yetLiu, Enci et al.2023 · 2 citations
  99. Calibration by Distribution Matching: Trainable Kernel Calibration Metrics ↗neural information processing systems · no summary yetCharlie Marx, Sofian Zalouk, Stefano Ermon2023 · 2 citations
  100. Equivariant Flow Matching with Hybrid Probability Transport ↗arXiv (Cornell University) · no summary yetYuxuan Song et al.2023 · 2 citations

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