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Stefano Ermon — all works

409 works · page 4 of 5 · 301–400 · ← Stefano Ermon

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  1. The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models ↗arXiv (Cornell University) · no summary yetChenwei Wu et al.2023 · 2 citations
  2. Exploration Via Planning for Information About the Optimal Trajectory ↗neural information processing systems · no summary yetViraj Mehta et al.2022 · 2 citations
  3. ButterflyFlow: Building Invertible Layers with Butterfly Matrices ↗arXiv (Cornell University) · no summary yetChenlin Meng et al.2022 · 2 citations
  4. Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations ↗neural information processing systems · no summary yetMichael Poli et al.2022 · 2 citations
  5. A General Recipe for Likelihood-free Bayesian Optimization ↗arXiv (Cornell University) · no summary yetJiaming Song et al.2022 · 2 citations
  6. HyperSPNs: Compact and Expressive Probabilistic Circuits ↗arXiv (Cornell University) · no summary yetAndy Shih, Dorsa Sadigh, Stefano Ermon2021 · 2 citations
  7. Pseudo-Spherical Contrastive Divergence ↗arXiv (Cornell University) · no summary yetLantao Yu et al.2021 · 2 citations
  8. Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks ↗arXiv (Cornell University) · no summary yetHan Lin Aung et al.2020 · 2 citations
  9. Flexible Approximate Inference via Stratified Normalizing Flows. ↗Uncertainty in Artificial Intelligence · no summary yetChris Cundy, Stefano Ermon2020 · 2 citations
  10. Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients ↗arXiv (Cornell University) · no summary yetChris Cundy, Desai, Rishi, Stefano Ermon2020 · 2 citations
  11. Autoregressive Score Matching ↗arXiv (Cornell University) · no summary yetChenlin Meng et al.2020 · 2 citations
  12. A Framework for Sample Efficient Interval Estimation with Control Variates ↗arXiv (Cornell University) · no summary yetShengjia Zhao, Christopher Yeh, Stefano Ermon2020 · 2 citations
  13. AlignFlow: Learning from multiple domains via normalizing flows. ↗International Conference on Learning Representations · no summary yetAditya Grover et al.2019 · 2 citations
  14. Differentiable Subset Sampling. ↗no summary yetSang Michael Xie, Stefano Ermon2019 · 2 citations
  15. Amortized Variational Compressive Sensing ↗no summary yetAditya Grover, Stefano Ermon2018 · 2 citations
  16. Stencil Autotuning with Ordinal Regression ↗International Workshop on Software and Compilers for Embedded Systems (SCOPES) · no summary yetBiagio Cosenza et al.2017 · 2 citations
  17. Hybrid Deep Discriminative/Generative Models for Semi-Supervised Learning. ↗Uncertainty in Artificial Intelligence · no summary yetVolodymyr Kuleshov, Stefano Ermon2017 · 2 citations
  18. A message passing approach to multiagent gaussian inference for dynamic processes ↗no summary yetStefano Ermon, Carla Pedro Gomes, Bart Selman2011 · 2 citations
  19. Trust Estimation in autonomic networks: a message passing approach ↗IFAC Proceedings Volumes · no summary yetStefano Ermon2009 · 2 citations
  20. Mitigating Bias in Locally Constrained Decoding via Tractable Proposals ↗arXiv:2606.01926 · no summary yetMeihua Dang et al.2026 · 1 citation
  21. ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space ↗arXiv (Cornell University) · no summary yetGabe Guo et al.2026 · 1 citation
  22. Data Unlearning in Diffusion Models ↗arXiv (Cornell University) · no summary yetSilas Alberti et al.2025 · 1 citation
  23. Preference-Guided Diffusion for Multi-Objective Offline Optimization ↗neural information processing systems · no summary yetYashas Annadani et al.2025 · 1 citation
  24. Inference-Time Scaling of Diffusion Language Models via Trajectory Refinement ↗arXiv (Cornell University) · no summary yetMeihua Dang et al.2025 · 1 citation
  25. Discrete Diffusion Trajectory Alignment via Stepwise Decomposition ↗arXiv (Cornell University) · no summary yetJiaqi Han et al.2025 · 1 citation
  26. RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models ↗arXiv (Cornell University) · no summary yetValter Hudovernik et al.2025 · 1 citation
  27. Training-Free Safe Denoisers for Safe Use of Diffusion Models ↗neural information processing systems · no summary yetMingyu Kim et al.2025 · 1 citation
  28. TFG-Flow: Training-free Guidance in Multimodal Generative Flow ↗arXiv (Cornell University) · no summary yetHaowei Lin et al.2025 · 1 citation
  29. Probabilistic Graphical Models: A Concise Tutorial ↗arXiv (Cornell University) · no summary yetJacqueline R. M. A. Maasch et al.2025 · 1 citation
  30. Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion ↗arXiv:2410.14758 · no summary yetBac Nguyen et al.2025 · 1 citation
  31. Scaling Probabilistic Circuits via Monarch Matrices ↗arXiv (Cornell University) · no summary yetHonghua Zhang et al.2025 · 1 citation
  32. Dynamic, high-resolution poverty measurement in data-scarce environments ↗Journal of Development Economics · no summary yetZhuo Zheng et al.2025 · 1 citation
  33. Neural Disaster Simulation for Transferable Building Damage Assessment ↗Remote Sensing of Environment · no summary yetZhuo Zheng et al.2025 · 1 citation
  34. Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes ↗neural information processing systems · no summary yetSyrine Belakaria et al.2024 · 1 citation
  35. Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis ↗arXiv (Cornell University) · no summary yetZeng, Bohan et al.2024 · 1 citation
  36. ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts ↗arXiv (Cornell University) · no summary yetSamar Khanna et al.2024 · 1 citation
  37. Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation ↗arXiv (Cornell University) · no summary yetFelix Petersen et al.2024 · 1 citation
  38. Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms ↗neural information processing systems · no summary yetFelix Petersen et al.2024 · 1 citation
  39. Contextualized Diffusion Models for Text-Guided Image and Video Generation ↗arXiv (Cornell University) · no summary yetLing Yang et al.2024 · 1 citation
  40. SIGGRAPH 2023 Course on Diffusion Models ↗ACM SIGGRAPH Courses · no summary yetChenlin Meng et al.2023 · 1 citation
  41. Ideal Abstractions for Decision-Focused Learning ↗arXiv (Cornell University) · no summary yetMichael Poli et al.2023 · 1 citation
  42. Autonomous screening of complex phase spaces using Bayesian optimization for SAXS measurements ↗Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · no summary yetKhaled Younes et al.2023 · 1 citation
  43. Generative Modeling Helps Weak Supervision (and Vice Versa) ↗arXiv (Cornell University) · no summary yetBenedikt Boecking et al.2022 · 1 citation
  44. Modular Conformal Calibration ↗arXiv (Cornell University) · no summary yetMarx, Charles et al.2022 · 1 citation
  45. H-divergence: A Decision-Theoretic Probability Discrepancy Measure ↗no summary yetShengjia Zhao et al.2021 · 1 citation
  46. Privacy Preserving Recalibration under Domain Shift ↗arXiv (Cornell University) · no summary yetRachel Luo et al.2020 · 1 citation
  47. Time Series Super Resolution withTemporal Adaptive Batch Normalization ↗no summary yetVolodymyr Kuleshov et al.2018 · 1 citation
  48. Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference ↗arXiv (Cornell University) · no summary yetMike Wu, Noah D. Goodman, Stefano Ermon2018 · 1 citation
  49. General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetColin Wei, Stefano Ermon2017 · 1 citation
  50. Density Propagation and Improved Bounds on the Partition Function ↗no summary yetStefano Ermon et al.2012 · 1 citation
  51. Constrained Decoding for Diffusion Language Models via Efficient Inference over Finite Automata ↗arXiv (Cornell University) · no summary yetMeihua Dang, Stefano Ermon2026
  52. There and Back Again: Bidirectional Diffusion Bridges for Multimodality Translation ↗arXiv (Cornell University) · no summary yetGabe Guo et al.2026
  53. Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration ↗arXiv (Cornell University) · no summary yetJiaqi Han et al.2026
  54. Generative Modeling with Flux Matching ↗arXiv (Cornell University) · no summary yetPeter Pao-Huang, Xiaojie Qiu, Stefano Ermon2026
  55. Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics ↗arXiv (Cornell University) · no summary yetAniketh Iyengar et al.2026
  56. Earth Embeddings: Toward artificial intelligence-centric representations of our planet ↗IEEE Geoscience and Remote Sensing Magazine · no summary yetKonstantin Klemmer et al.2026
  57. Unpaired Image-to-Image Translation via a Self-Supervised Semantic Bridge ↗arXiv (Cornell University) · no summary yetJiaming Liu et al.2026
  58. GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning ↗arXiv (Cornell University) · no summary yetNaoki Murata et al.2026
  59. Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment ↗arXiv (Cornell University) · no summary yetBac Nguyen et al.2026
  60. Improving Diffusion Language Model Decoding through Joint Search in Generation Order and Token Space ↗arXiv (Cornell University) · no summary yetYi Shen et al.2026
  61. Diffusion Language Model Parallel Decoding via Product-of-Experts Bridge ↗arXiv (Cornell University) · no summary yetJuntong Shi et al.2026
  62. Neural Nonmyopic Bayesian Optimization in Dynamic Cost Settings ↗arXiv (Cornell University) · no summary yetSang Truong et al.2026
  63. Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models ↗arXiv (Cornell University) · no summary yetAustin Wang et al.2026
  64. Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations ↗arXiv (Cornell University) · no summary yetJunjue Wang et al.2026
  65. Generative modeling with structured diffusion models ↗Stanford Digital Repository · no summary yetMinkai Xu et al.2026
  66. A satellite foundation model for improved wealth monitoring ↗arXiv (Cornell University) · no summary yetZhuo Zheng et al.2026
  67. Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF ↗arXiv (Cornell University) · no summary yetSyrine Belakaria et al.2025
  68. RFG: Self-Improving Diffusion Large Language Models with Reward-Free Guidance ↗arXiv (Cornell University) · no summary yetTianlang Chen et al.2025
  69. Reviving Any-Subset Autoregressive Models with Principled Parallel Sampling and Speculative Decoding ↗arXiv (Cornell University) · no summary yetGuo, Gabe, Stefano Ermon2025
  70. DistillKac: Few-Step Image Generation via Damped Wave Equations ↗arXiv (Cornell University) · no summary yetWeiqiao Han et al.2025
  71. Spatiotemporal generative AI for multimodal and multiscale modeling of geospatial data ↗Stanford Digital Repository · no summary yetJeremy Irvin et al.2025
  72. Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation ↗arXiv:2511.17031 · no summary yetAniketh Iyengar et al.2025
  73. Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints ↗arXiv (Cornell University) · no summary yetDapeng Jiang et al.2025
  74. REAR: Rethinking Visual Autoregressive Models via Generator-Tokenizer Consistency Regularization ↗arXiv (Cornell University) · no summary yetHe, Qiyuan et al.2025
  75. InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression ↗arXiv (Cornell University) · no summary yetHaotian Ye et al.2025
  76. GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters ↗arXiv (Cornell University) · no summary yetWanjia Zhao et al.2025
  77. Non-Myopic Multi-Objective Bayesian Optimization ↗arXiv (Cornell University) · no summary yetSyrine Belakaria et al.2024
  78. Efficient Scaling of Diffusion Transformers for Text-to-Image Generation ↗arXiv (Cornell University) · no summary yetLi, Hao et al.2024
  79. CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion ↗arXiv (Cornell University) · no summary yetJoshua Kazdan et al.2024
  80. Unsupervised Anomaly Detection Using Diffusion Trend Analysis for Display Inspection ↗arXiv (Cornell University) · no summary yetEunwoo Kim et al.2024
  81. Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space ↗arXiv (Cornell University) · no summary yetYangming Li et al.2024
  82. Calibrated Probabilistic Forecasts for Arbitrary Sequences ↗PubMed · no summary yetCharles T. Marx, Volodymyr Kuleshov, Stefano Ermon2024
  83. G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving ↗arXiv:2410.14710 · no summary yetNaoki Murata et al.2024
  84. TrAct: Making First-layer Pre-Activations Trainable ↗neural information processing systems · no summary yetFelix Petersen, Christian Borgelt, Stefano Ermon2024
  85. MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning ↗arXiv (Cornell University) · no summary yetBanerjee, Arundhati et al.2023
  86. Quantifying and Understanding Adversarial Examples in Discrete Input Spaces ↗arXiv (Cornell University) · no summary yetVolodymyr Kuleshov et al.2021
  87. H-Entropy Search: Generalizing Bayesian Optimization with a Decision-theoretic Uncertainty Measure ↗no summary yetWillie Neiswanger et al.2021
  88. Understanding Classifiers with Generative Models ↗no summary yetLaëtitia Shao, Yang Song, Stefano Ermon2021
  89. Hybrid Mutual Information Lower-bound Estimators for Representation Learning ↗International Conference on Learning Representations · no summary yetAbhishek Sinha, Jiaming Song, Stefano Ermon2021
  90. Equivariant Neural Network for Factor Graphs ↗arXiv (Cornell University) · no summary yetFan-Yun Sun et al.2021
  91. Improving Compositionality of Neural Networks by Decoding Representations to Inputs ↗arXiv (Cornell University) · no summary yetMike Wu, Noah D. Goodman, Stefano Ermon2021
  92. Noisy Neural Network Compression for Analog Storage Devices ↗no summary yetBerivan Isik et al.2020
  93. Understanding Classifier Mistakes with Generative Models ↗arXiv (Cornell University) · no summary yetLaëtitia Shao, Yang Song, Stefano Ermon2020
  94. Adversarial Domain Adaptation for Analyzing Low Resolution Images ↗no summary yetBurak Uzkent, Stefano Ermon2020
  95. Towards Certified Defense for Unrestricted Adversarial Attacks ↗no summary yetShengjia Zhao, Yang Song, Stefano Ermon2019
  96. LSH Softmax: Sub-Linear Learning and Inference of the Softmax Layer in Deep Architectures ↗no summary yetDaniel Lévy, Danlu Chan, Stefano Ermon2018
  97. On the Limits of Learning Representations with Label-Based Supervision ↗arXiv (Cornell University) · no summary yetJiaming Song et al.2017
  98. Probabilistic Inference by Hashing and Optimization ↗The MIT Press eBooks · no summary yetStefano Ermon2016
  99. Uncovering hidden structure through parallel problem decomposition for the set basis problem: application to materials discovery ↗no summary yetYexiang Xue et al.2015
  100. Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem. ↗National Conference on Artificial Intelligence · no summary yetYexiang Xue et al.2015

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