Stefano Ermon — all works
- GEO-Bench: Toward Foundation Models for Earth Monitoring ↗neural information processing systems · no summary yetAlexandre Lacoste et al.2023 · 41 citations
- Audio Super Resolution using Neural Networks ↗arXiv (Cornell University) · no summary yetVolodymyr Kuleshov, S. Zayd Enam, Stefano Ermon2017 · 40 citations
- Learning Hierarchical Features from Generative Models ↗arXiv (Cornell University) · no summary yetShengjia Zhao, Jiaming Song, Stefano Ermon2017 · 38 citations
- Uniform Solution Sampling Using a Constraint Solver As an Oracle ↗arXiv (Cornell University) · no summary yetStefano Ermon, Carla Pedro Gomes, Bart Selman2012 · 38 citations
- Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning ↗IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yetReid Pryzant, Stefano Ermon, David B. Lobell2017 · 37 citations
- Learning and inference via maximum inner product search ↗International Conference on Machine Learning · no summary yetStephen Mussmann, Stefano Ermon2016 · 37 citations
- Mercury: Ultra-Fast Language Models Based on Diffusion ↗arXiv:2506.17298 · no summary yetInception Labs et al.2025 · 36 citations
- UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild ↗arXiv (Cornell University) · no summary yetCan Qin et al.2023 · 36 citations
- On the Critical Role of Conventions in Adaptive Human-AI Collaboration ↗arXiv (Cornell University) · no summary yetAndy Shih et al.2021 · 36 citations
- DiffusionSat: A Generative Foundation Model for Satellite Imagery ↗arXiv (Cornell University) · no summary yetSamar Khanna et al.2023 · 34 citations
- Permutation Invariant Graph Generation via Score-Based Generative Modeling ↗arXiv (Cornell University) · no summary yetChenhao Niu et al.2020 · 34 citations
- Learning to Interpret Satellite Images using Wikipedia ↗International Joint Conference on Artificial Intelligence · no summary yetBurak Uzkent et al.2019 · 34 citations
- The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models ↗arXiv (Cornell University) · no summary yetShengjia Zhao, Jiaming Song, Stefano Ermon2018 · 34 citations
- Towards transferable building damage assessment via unsupervised single-temporal change adaptation ↗Remote Sensing of Environment · no summary yetZhuo Zheng et al.2024 · 32 citations
- Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetStefano Ermon et al.2015 · 32 citations
- Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization ↗arXiv (Cornell University) · no summary yetAditya Grover, Stefano Ermon2018 · 31 citations
- Mapping Missing Population in Rural India ↗Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yetWenjie Hu et al.2019 · 30 citations
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables ↗arXiv (Cornell University) · no summary yetLantao Yu et al.2019 · 30 citations
- Unsupervised Data Mining in nanoscale X-ray Spectro-Microscopic Study of NdFeB Magnet ↗Scientific Reports · no summary yetXiaoyue Duan et al.2016 · 29 citations
- Concrete Score Matching: Generalized Score Matching for Discrete Data ↗neural information processing systems · no summary yetChenlin Meng et al.2022 · 27 citations
- Best arm identification in multi-armed bandits with delayed feedback ↗arXiv (Cornell University) · no summary yetAditya Grover et al.2018 · 27 citations
- DiffusionNFT: Online Diffusion Reinforcement with Forward Process ↗arXiv (Cornell University) · no summary yetKaiwen Zheng et al.2025 · 26 citations
- Cloud Removal from Satellite Images using Spatiotemporal Generator Networks ↗no summary yetVishnu Sarukkai et al.2020 · 26 citations
- Adaptive Concentration Inequalities for Sequential Decision Problems ↗neural information processing systems · no summary yetShengjia Zhao et al.2016 · 26 citations
- Segment Any Change ↗neural information processing systems · no summary yetZhuo Zheng et al.2024 · 25 citations
- Dual Diffusion Implicit Bridges for Image-to-Image Translation ↗arXiv (Cornell University) · no summary yetXuan Su et al.2022 · 25 citations
- Belief Propagation Neural Networks ↗arXiv (Cornell University) · no summary yetJonathan Kuck et al.2020 · 25 citations
- NECST: Neural Joint Source-Channel Coding. ↗arXiv:1811.07557 · no summary yetKristy Choi et al.2018 · 25 citations
- Exact Sampling with Integer Linear Programs and Random Perturbations ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetCarolyn Kim, Ashish Sabharwal, Stefano Ermon2016 · 25 citations
- Individual Calibration with Randomized Forecasting ↗arXiv (Cornell University) · no summary yetShengjia Zhao, Tengyu Ma, Stefano Ermon2020 · 24 citations
- Bayesian Optimization of FEL Performance at LCLS ↗JACOW · no summary yetMitchell McIntire et al.2016 · 24 citations
- Learning to Interpret Satellite Images in Global Scale Using Wikipedia ↗arXiv (Cornell University) · no summary yetBurak Uzkent et al.2019 · 23 citations
- Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-GenerationarXiv:2410.02725Rohin Manvi, Anikait Singh, Stefano Ermon2024 · 22 citations
- Mechanistic Design and Scaling of Hybrid Architectures ↗arXiv (Cornell University) · no summary yetMichael Poli et al.2024 · 22 citations
- Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs ↗arXiv (Cornell University) · no summary yetLing Yang et al.2024 · 22 citations
- Calibrated Model-Based Deep Reinforcement Learning ↗arXiv (Cornell University) · no summary yetAli Malik et al.2019 · 22 citations
- MintNet: Building Invertible Neural Networks with Masked Convolutions ↗arXiv (Cornell University) · no summary yetYang Song, Chenlin Meng, Stefano Ermon2019 · 22 citations
- IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChenlin Meng et al.2022 · 21 citations
- Meta-Amortized Variational Inference and Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetMike Wu et al.2020 · 21 citations
- Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations ↗arXiv (Cornell University) · no summary yetSawyer Birnbaum et al.2019 · 21 citations
- SMT-Aided Combinatorial Materials Discovery ↗Lecture notes in computer science · no summary yetStefano Ermon et al.2012 · 21 citations
- Trust Estimation in autonomic networks: a statistical mechanics approach ↗no summary yetStefano Ermon, Luca Schenato, Sandro Zampieri2009 · 21 citations
- Estimating Uncertainty Online Against an Adversary ↗arXiv (Cornell University) · no summary yetVolodymyr Kuleshov, Stefano Ermon2016 · 20 citations
- Predicting Livelihood Indicators from Community-Generated Street-Level Imagery ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJihyeon Lee et al.2021 · 19 citations
- Efficient Conditional Pre-training for Transfer Learning ↗IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yetShuvam Chakraborty et al.2020 · 19 citations
- Closing the Gap Between Short and Long XORs for Model Counting ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShengjia Zhao et al.2016 · 19 citations
- Optimization With Parity Constraints: From Binary Codes to Discrete Integration ↗arXiv (Cornell University) · no summary yetStefano Ermon et al.2013 · 19 citations
- MADiff: Offline Multi-agent Learning with Diffusion Models ↗neural information processing systems · no summary yetZhengbang Zhu et al.2024 · 18 citations
- On the Scalability of Diffusion-based Text-to-Image Generation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHao Li et al.2024 · 17 citations
- Autotuning Stencil Computations with Structural Ordinal Regression Learning ↗Proceedings - IEEE International Parallel and Distributed Processing Symposium · no summary yetBiagio Cosenza et al.2017 · 17 citations
- TFG: Unified Training-Free Guidance for Diffusion Models ↗neural information processing systems · no summary yetHaotian Ye et al.2024 · 16 citations
- CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations ↗arXiv (Cornell University) · no summary yetGengchen Mai et al.2023 · 16 citations
- GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetCan Qin et al.2023 · 16 citations
- Experience Replay with Likelihood-free Importance Weights ↗arXiv (Cornell University) · no summary yetSamarth Sinha et al.2020 · 16 citations
- Unsupervised Out-of-Distribution Detection with Batch Normalization ↗arXiv (Cornell University) · no summary yetJiaming Song, Yang Sup Song, Stefano Ermon2019 · 16 citations
- Hierarchical modeling of seed variety yields and decision making for future planting plans ↗Environment Systems & Decisions · no summary yetHuaiyang Zhong et al.2018 · 16 citations
- Inductive Moment Matching ↗arXiv (Cornell University) · no summary yetLinqi Zhou, Stefano Ermon, Jiaming Song2025 · 15 citations
- TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning ↗neural information processing systems · no summary yetNemin Wu et al.2024 · 15 citations
- JPEG Artifact Correction using Denoising Diffusion Restoration Models ↗arXiv (Cornell University) · no summary yetBahjat Kawar et al.2022 · 15 citations
- SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning ↗arXiv (Cornell University) · no summary yetChristopher Yeh et al.2021 · 15 citations
- Fair Generative Modeling via Weak Supervision ↗arXiv (Cornell University) · no summary yetKristy Choi et al.2019 · 15 citations
- Designing Fast Absorbing Markov Chains ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetStefano Ermon et al.2014 · 15 citations
- Learning policies for battery usage optimization in electric vehicles ↗Machine Learning · no summary yetStefano Ermon et al.2013 · 15 citations
- Convolutional Differentiable Logic Gate Networks ↗neural information processing systems · no summary yetFelix Petersen et al.2024 · 14 citations
- Energy-Based Diffusion Language Models for Text Generation ↗arXiv (Cornell University) · no summary yetMinkai Xu et al.2024 · 14 citations
- MUDiff: Unified Diffusion for Complete Molecule Generation ↗arXiv (Cornell University) · no summary yetChenqing Hua et al.2023 · 14 citations
- Training Deep Energy-Based Models with f-Divergence Minimization ↗arXiv (Cornell University) · no summary yetLantao Yu et al.2020 · 14 citations
- Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery ↗arXiv (Cornell University) · no summary yetHu, Wenjie et al.2019 · 14 citations
- Probabilistic planning with non-linear utility functions and worst-case guarantees ↗no summary yetStefano Ermon et al.2012 · 14 citations
- A physics-informed machine learning model for the prediction of drop breakup in two-phase flows ↗International Journal of Multiphase Flow · no summary yetChris Cundy et al.2024 · 13 citations
- Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions ↗neural information processing systems · no summary yetStefano Massaroli et al.2023 · 13 citations
- Efficient Poverty Mapping using Deep Reinforcement Learning ↗arXiv (Cornell University) · no summary yetKumar Ayush et al.2020 · 13 citations
- Multi-label Contrastive Predictive Coding ↗arXiv (Cornell University) · no summary yetJiaming Song, Stefano Ermon2020 · 13 citations
- Domain Adaptive Imitation Learning ↗arXiv (Cornell University) · no summary yetKuno Kim et al.2019 · 13 citations
- Adversarial Constraint Learning for Structured Prediction ↗International Joint Conference on Artificial Intelligence · no summary yetHongyu Ren et al.2018 · 13 citations
- LISA: Learning Interpretable Skill Abstractions from Language ↗neural information processing systems · no summary yetDivyansh Garg et al.2022 · 12 citations
- Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis ↗arXiv (Cornell University) · no summary yetYutong He et al.2021 · 12 citations
- Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration ↗arXiv (Cornell University) · no summary yetShengjia Zhao et al.2021 · 12 citations
- Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty ↗arXiv (Cornell University) · no summary yetAnthony Perez et al.2019 · 12 citations
- Risk-sensitive Policies for Sustainable Renewable Resource Allocation ↗no summary yetStefano Ermon et al.2011 · 12 citations
- DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLinqi Zhou et al.2024 · 11 citations
- Reflected Diffusion Models ↗arXiv (Cornell University) · no summary yetAaron Lou, Stefano Ermon2023 · 11 citations
- Improving Self-Supervised Learning by Characterizing Idealized Representations ↗neural information processing systems · no summary yetYann Dubois et al.2022 · 11 citations
- IQ-Learn: Inverse soft-Q Learning for Imitation ↗arXiv (Cornell University) · no summary yetDivyansh Garg et al.2021 · 11 citations
- A Hybrid Approach for Probabilistic Inference using Random Projections ↗no summary yetMichael Zhu, Stefano Ermon2015 · 11 citations
- Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale ↗arXiv:2503.01868 · no summary yetJerome Ku et al.2025 · 10 citations
- GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration ↗arXiv (Cornell University) · no summary yetNaoki Murata et al.2023 · 10 citations
- LMPriors: Pre-Trained Language Models as Task-Specific Priors ↗arXiv (Cornell University) · no summary yetKristy Choi et al.2022 · 10 citations
- Training and Inference on Any-Order Autoregressive Models the Right Way ↗neural information processing systems · no summary yetAndy Shih, Dorsa Sadigh, Stefano Ermon2022 · 10 citations
- Neural Network Compression for Noisy Storage Devices ↗ACM Transactions on Embedded Computing Systems · no summary yetBerivan Isik et al.2021 · 10 citations
- Estimating High Order Gradients of the Data Distribution by Denoising ↗arXiv (Cornell University) · no summary yetChenlin Meng et al.2021 · 10 citations
- Temporal Predictive Coding For Model-Based Planning In Latent Space ↗arXiv (Cornell University) · no summary yetTung Nguyen et al.2021 · 10 citations
- Reliable Decisions with Threshold Calibration ↗neural information processing systems · no summary yetRoshni Sahoo et al.2021 · 10 citations
- Multi-agent Imitation Learning with Copulas ↗Lecture notes in computer science · no summary yetHongwei Wang et al.2021 · 10 citations
- Multi-agent Adversarial Inverse Reinforcement Learning with Latent Variables ↗Adaptive Agents and Multi-Agents Systems · no summary yetNate Gruver et al.2020 · 10 citations
- Bayesian optimization and attribute adjustment ↗PuSH - Publication Server of Helmholtz Zentrum München · no summary yetStephan Eismann et al.2018 · 10 citations
- Improved Training with Curriculum GANs ↗arXiv (Cornell University) · no summary yetRishi Sharma et al.2018 · 10 citations
- Computing the Density of States of Boolean Formulas ↗Lecture notes in computer science · no summary yetStefano Ermon, Carla Pedro Gomes, Bart Selman2010 · 10 citations
- PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher ↗neural information processing systems · no summary yetDongjun Kim et al.2024 · 9 citations
- Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation ↗neural information processing systems · no summary yetYuxuan Song et al.2023 · 9 citations
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