---
title: "Stefano Ermon — all works, page 2 — Elamur Research"
description: "All 409 works of Stefano Ermon in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Stefano Ermon — all works

409 works · page 2 of 5 · 101–200 · [← Stefano Ermon](https://md.research.elamur.ai/free/en/authors/stefano-ermon/)

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101. **[GEO-Bench: Toward Foundation Models for Earth Monitoring ↗](https://doi.org/10.52202/075280-2223) neural information processing systems · no summary yet**Alexandre Lacoste et al.*2023 · 41 citations*
102. **[Audio Super Resolution using Neural Networks ↗](https://arxiv.org/abs/1708.00853) arXiv (Cornell University) · no summary yet**Volodymyr Kuleshov, S. Zayd Enam, Stefano Ermon*2017 · 40 citations*
103. **[Learning Hierarchical Features from Generative Models ↗](https://arxiv.org/abs/1702.08396) arXiv (Cornell University) · no summary yet**Shengjia Zhao, Jiaming Song, Stefano Ermon*2017 · 38 citations*
104. **[Uniform Solution Sampling Using a Constraint Solver As an Oracle ↗](https://arxiv.org/abs/1210.4861) arXiv (Cornell University) · no summary yet**Stefano Ermon, Carla Pedro Gomes, Bart Selman*2012 · 38 citations*
105. **[Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning ↗](https://doi.org/10.1109/cvprw.2017.196) IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yet**Reid Pryzant, Stefano Ermon, David B. Lobell*2017 · 37 citations*
106. **[Learning and inference via maximum inner product search ↗](https://openalex.org/W2468625129) International Conference on Machine Learning · no summary yet**Stephen Mussmann, Stefano Ermon*2016 · 37 citations*
107. **[Mercury: Ultra-Fast Language Models Based on Diffusion ↗](https://arxiv.org/abs/2506.17298) arXiv:2506.17298 · no summary yet**Inception Labs et al.*2025 · 36 citations*
108. **[UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild ↗](https://arxiv.org/abs/2305.11147) arXiv (Cornell University) · no summary yet**Can Qin et al.*2023 · 36 citations*
109. **[On the Critical Role of Conventions in Adaptive Human-AI Collaboration ↗](https://arxiv.org/abs/2104.02871) arXiv (Cornell University) · no summary yet**Andy Shih et al.*2021 · 36 citations*
110. **[DiffusionSat: A Generative Foundation Model for Satellite Imagery ↗](https://arxiv.org/abs/2312.03606) arXiv (Cornell University) · no summary yet**Samar Khanna et al.*2023 · 34 citations*
111. **[Permutation Invariant Graph Generation via Score-Based Generative Modeling ↗](https://arxiv.org/abs/2003.00638) arXiv (Cornell University) · no summary yet**Chenhao Niu et al.*2020 · 34 citations*
112. **[Learning to Interpret Satellite Images using Wikipedia ↗](https://doi.org/10.24963/ijcai.2019/502) International Joint Conference on Artificial Intelligence · no summary yet**Burak Uzkent et al.*2019 · 34 citations*
113. **[The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models ↗](https://arxiv.org/abs/1806.06514) arXiv (Cornell University) · no summary yet**Shengjia Zhao, Jiaming Song, Stefano Ermon*2018 · 34 citations*
114. **[Towards transferable building damage assessment via unsupervised single-temporal change adaptation ↗](https://doi.org/10.1016/j.rse.2024.114416) Remote Sensing of Environment · no summary yet**Zhuo Zheng et al.*2024 · 32 citations*
115. **[Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery ↗](https://doi.org/10.1609/aaai.v29i1.9233) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Stefano Ermon et al.*2015 · 32 citations*
116. **[Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization ↗](https://arxiv.org/abs/1812.10539) arXiv (Cornell University) · no summary yet**Aditya Grover, Stefano Ermon*2018 · 31 citations*
117. **[Mapping Missing Population in Rural India ↗](https://doi.org/10.1145/3306618.3314263) Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yet**Wenjie Hu et al.*2019 · 30 citations*
118. **[Meta-Inverse Reinforcement Learning with Probabilistic Context Variables ↗](https://arxiv.org/abs/1909.09314) arXiv (Cornell University) · no summary yet**Lantao Yu et al.*2019 · 30 citations*
119. **[Unsupervised Data Mining in nanoscale X-ray Spectro-Microscopic Study of NdFeB Magnet ↗](https://doi.org/10.1038/srep34406) Scientific Reports · no summary yet**Xiaoyue Duan et al.*2016 · 29 citations*
120. **[Concrete Score Matching: Generalized Score Matching for Discrete Data ↗](https://doi.org/10.52202/068431-2502) neural information processing systems · no summary yet**Chenlin Meng et al.*2022 · 27 citations*
121. **[Best arm identification in multi-armed bandits with delayed feedback ↗](https://arxiv.org/abs/1803.10937) arXiv (Cornell University) · no summary yet**Aditya Grover et al.*2018 · 27 citations*
122. **[DiffusionNFT: Online Diffusion Reinforcement with Forward Process ↗](https://arxiv.org/abs/2509.16117) arXiv (Cornell University) · no summary yet**Kaiwen Zheng et al.*2025 · 26 citations*
123. **[Cloud Removal from Satellite Images using Spatiotemporal Generator Networks ↗](https://openalex.org/W3009217192) no summary yet**Vishnu Sarukkai et al.*2020 · 26 citations*
124. **[Adaptive Concentration Inequalities for Sequential Decision Problems ↗](https://openalex.org/W2552366573) neural information processing systems · no summary yet**Shengjia Zhao et al.*2016 · 26 citations*
125. **[Segment Any Change ↗](https://doi.org/10.52202/079017-2581) neural information processing systems · no summary yet**Zhuo Zheng et al.*2024 · 25 citations*
126. **[Dual Diffusion Implicit Bridges for Image-to-Image Translation ↗](https://arxiv.org/abs/2203.08382) arXiv (Cornell University) · no summary yet**Xuan Su et al.*2022 · 25 citations*
127. **[Belief Propagation Neural Networks ↗](https://arxiv.org/abs/2007.00295) arXiv (Cornell University) · no summary yet**Jonathan Kuck et al.*2020 · 25 citations*
128. **[NECST: Neural Joint Source-Channel Coding. ↗](https://arxiv.org/abs/1811.07557) arXiv:1811.07557 · no summary yet**Kristy Choi et al.*2018 · 25 citations*
129. **[Exact Sampling with Integer Linear Programs and Random Perturbations ↗](https://doi.org/10.1609/aaai.v30i1.10421) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Carolyn Kim, Ashish Sabharwal, Stefano Ermon*2016 · 25 citations*
130. **[Individual Calibration with Randomized Forecasting ↗](https://arxiv.org/abs/2006.10288) arXiv (Cornell University) · no summary yet**Shengjia Zhao, Tengyu Ma, Stefano Ermon*2020 · 24 citations*
131. **[Bayesian Optimization of FEL Performance at LCLS ↗](https://doi.org/10.18429/jacow-ipac2016-wepow055) JACOW · no summary yet**Mitchell McIntire et al.*2016 · 24 citations*
132. **[Learning to Interpret Satellite Images in Global Scale Using Wikipedia ↗](https://arxiv.org/abs/1905.02506) arXiv (Cornell University) · no summary yet**Burak Uzkent et al.*2019 · 23 citations*
133. [**Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation arXiv:2410.02725**Rohin Manvi, Anikait Singh, Stefano Ermon*2024 · 22 citations*](https://md.research.elamur.ai/free/en/papers/manvi-2024-adaptive-inference-time-compute-llms/)
134. **[Mechanistic Design and Scaling of Hybrid Architectures ↗](https://arxiv.org/abs/2403.17844) arXiv (Cornell University) · no summary yet**Michael Poli et al.*2024 · 22 citations*
135. **[Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs ↗](https://arxiv.org/abs/2401.11708) arXiv (Cornell University) · no summary yet**Ling Yang et al.*2024 · 22 citations*
136. **[Calibrated Model-Based Deep Reinforcement Learning ↗](https://arxiv.org/abs/1906.08312) arXiv (Cornell University) · no summary yet**Ali Malik et al.*2019 · 22 citations*
137. **[MintNet: Building Invertible Neural Networks with Masked Convolutions ↗](https://arxiv.org/abs/1907.07945) arXiv (Cornell University) · no summary yet**Yang Song, Chenlin Meng, Stefano Ermon*2019 · 22 citations*
138. **[IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling ↗](https://doi.org/10.1609/aaai.v36i11.21462) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Chenlin Meng et al.*2022 · 21 citations*
139. **[Meta-Amortized Variational Inference and Learning ↗](https://doi.org/10.1609/aaai.v34i04.6111) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Mike Wu et al.*2020 · 21 citations*
140. **[Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations ↗](https://arxiv.org/abs/1909.06628) arXiv (Cornell University) · no summary yet**Sawyer Birnbaum et al.*2019 · 21 citations*
141. **[SMT-Aided Combinatorial Materials Discovery ↗](https://doi.org/10.1007/978-3-642-31612-8_14) Lecture notes in computer science · no summary yet**Stefano Ermon et al.*2012 · 21 citations*
142. **[Trust Estimation in autonomic networks: a statistical mechanics approach ↗](https://doi.org/10.1109/cdc.2009.5400923) no summary yet**Stefano Ermon, Luca Schenato, Sandro Zampieri*2009 · 21 citations*
143. **[Estimating Uncertainty Online Against an Adversary ↗](https://arxiv.org/abs/1607.03594) arXiv (Cornell University) · no summary yet**Volodymyr Kuleshov, Stefano Ermon*2016 · 20 citations*
144. **[Predicting Livelihood Indicators from Community-Generated Street-Level Imagery ↗](https://doi.org/10.1609/aaai.v35i1.16101) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Jihyeon Lee et al.*2021 · 19 citations*
145. **[Efficient Conditional Pre-training for Transfer Learning ↗](https://doi.org/10.1109/cvprw56347.2022.00469) IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yet**Shuvam Chakraborty et al.*2020 · 19 citations*
146. **[Closing the Gap Between Short and Long XORs for Model Counting ↗](https://doi.org/10.1609/aaai.v30i1.10430) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Shengjia Zhao et al.*2016 · 19 citations*
147. **[Optimization With Parity Constraints: From Binary Codes to Discrete Integration ↗](https://arxiv.org/abs/1309.6827) arXiv (Cornell University) · no summary yet**Stefano Ermon et al.*2013 · 19 citations*
148. **[MADiff: Offline Multi-agent Learning with Diffusion Models ↗](https://doi.org/10.52202/079017-0136) neural information processing systems · no summary yet**Zhengbang Zhu et al.*2024 · 18 citations*
149. **[On the Scalability of Diffusion-based Text-to-Image Generation ↗](https://doi.org/10.1109/cvpr52733.2024.00898) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Hao Li et al.*2024 · 17 citations*
150. **[Autotuning Stencil Computations with Structural Ordinal Regression Learning ↗](https://doi.org/10.1109/ipdps.2017.102) Proceedings - IEEE International Parallel and Distributed Processing Symposium · no summary yet**Biagio Cosenza et al.*2017 · 17 citations*
151. **[TFG: Unified Training-Free Guidance for Diffusion Models ↗](https://doi.org/10.52202/079017-0704) neural information processing systems · no summary yet**Haotian Ye et al.*2024 · 16 citations*
152. **[CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations ↗](https://arxiv.org/abs/2305.01118) arXiv (Cornell University) · no summary yet**Gengchen Mai et al.*2023 · 16 citations*
153. **[GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation ↗](https://doi.org/10.1109/iccv51070.2023.02110) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Can Qin et al.*2023 · 16 citations*
154. **[Experience Replay with Likelihood-free Importance Weights ↗](https://arxiv.org/abs/2006.13169) arXiv (Cornell University) · no summary yet**Samarth Sinha et al.*2020 · 16 citations*
155. **[Unsupervised Out-of-Distribution Detection with Batch Normalization ↗](https://arxiv.org/abs/1910.09115) arXiv (Cornell University) · no summary yet**Jiaming Song, Yang Sup Song, Stefano Ermon*2019 · 16 citations*
156. **[Hierarchical modeling of seed variety yields and decision making for future planting plans ↗](https://doi.org/10.1007/s10669-018-9695-4) Environment Systems & Decisions · no summary yet**Huaiyang Zhong et al.*2018 · 16 citations*
157. **[Inductive Moment Matching ↗](https://arxiv.org/abs/2503.07565) arXiv (Cornell University) · no summary yet**Linqi Zhou, Stefano Ermon, Jiaming Song*2025 · 15 citations*
158. **[TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning ↗](https://doi.org/10.52202/079017-2588) neural information processing systems · no summary yet**Nemin Wu et al.*2024 · 15 citations*
159. **[JPEG Artifact Correction using Denoising Diffusion Restoration Models ↗](https://arxiv.org/abs/2209.11888) arXiv (Cornell University) · no summary yet**Bahjat Kawar et al.*2022 · 15 citations*
160. **[SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning ↗](https://arxiv.org/abs/2111.04724) arXiv (Cornell University) · no summary yet**Christopher Yeh et al.*2021 · 15 citations*
161. **[Fair Generative Modeling via Weak Supervision ↗](https://arxiv.org/abs/1910.12008) arXiv (Cornell University) · no summary yet**Kristy Choi et al.*2019 · 15 citations*
162. **[Designing Fast Absorbing Markov Chains ↗](https://doi.org/10.1609/aaai.v28i1.8843) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Stefano Ermon et al.*2014 · 15 citations*
163. **[Learning policies for battery usage optimization in electric vehicles ↗](https://doi.org/10.1007/s10994-013-5378-z) Machine Learning · no summary yet**Stefano Ermon et al.*2013 · 15 citations*
164. **[Convolutional Differentiable Logic Gate Networks ↗](https://doi.org/10.52202/079017-3851) neural information processing systems · no summary yet**Felix Petersen et al.*2024 · 14 citations*
165. **[Energy-Based Diffusion Language Models for Text Generation ↗](https://arxiv.org/abs/2410.21357) arXiv (Cornell University) · no summary yet**Minkai Xu et al.*2024 · 14 citations*
166. **[MUDiff: Unified Diffusion for Complete Molecule Generation ↗](https://arxiv.org/abs/2304.14621) arXiv (Cornell University) · no summary yet**Chenqing Hua et al.*2023 · 14 citations*
167. **[Training Deep Energy-Based Models with f-Divergence Minimization ↗](https://arxiv.org/abs/2003.03463) arXiv (Cornell University) · no summary yet**Lantao Yu et al.*2020 · 14 citations*
168. **[Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery ↗](https://arxiv.org/abs/1905.02196) arXiv (Cornell University) · no summary yet**Hu, Wenjie et al.*2019 · 14 citations*
169. **[Probabilistic planning with non-linear utility functions and worst-case guarantees ↗](https://doi.org/10.5555/2343776.2343835) no summary yet**Stefano Ermon et al.*2012 · 14 citations*
170. **[A physics-informed machine learning model for the prediction of drop breakup in two-phase flows ↗](https://doi.org/10.1016/j.ijmultiphaseflow.2024.104934) International Journal of Multiphase Flow · no summary yet**Chris Cundy et al.*2024 · 13 citations*
171. **[Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions ↗](https://doi.org/10.52202/075280-0747) neural information processing systems · no summary yet**Stefano Massaroli et al.*2023 · 13 citations*
172. **[Efficient Poverty Mapping using Deep Reinforcement Learning ↗](https://arxiv.org/abs/2006.04224) arXiv (Cornell University) · no summary yet**Kumar Ayush et al.*2020 · 13 citations*
173. **[Multi-label Contrastive Predictive Coding ↗](https://arxiv.org/abs/2007.09852) arXiv (Cornell University) · no summary yet**Jiaming Song, Stefano Ermon*2020 · 13 citations*
174. **[Domain Adaptive Imitation Learning ↗](https://arxiv.org/abs/1910.00105) arXiv (Cornell University) · no summary yet**Kuno Kim et al.*2019 · 13 citations*
175. **[Adversarial Constraint Learning for Structured Prediction ↗](https://doi.org/10.24963/ijcai.2018/366) International Joint Conference on Artificial Intelligence · no summary yet**Hongyu Ren et al.*2018 · 13 citations*
176. **[LISA: Learning Interpretable Skill Abstractions from Language ↗](https://doi.org/10.52202/068431-1578) neural information processing systems · no summary yet**Divyansh Garg et al.*2022 · 12 citations*
177. **[Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis ↗](https://arxiv.org/abs/2106.11485) arXiv (Cornell University) · no summary yet**Yutong He et al.*2021 · 12 citations*
178. **[Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration ↗](https://arxiv.org/abs/2107.05719) arXiv (Cornell University) · no summary yet**Shengjia Zhao et al.*2021 · 12 citations*
179. **[Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty ↗](https://arxiv.org/abs/1902.11110) arXiv (Cornell University) · no summary yet**Anthony Perez et al.*2019 · 12 citations*
180. **[Risk-sensitive Policies for Sustainable Renewable Resource Allocation ↗](https://openalex.org/W2292214637) no summary yet**Stefano Ermon et al.*2011 · 12 citations*
181. **[DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling ↗](https://doi.org/10.1109/cvpr52733.2024.00441) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Linqi Zhou et al.*2024 · 11 citations*
182. **[Reflected Diffusion Models ↗](https://arxiv.org/abs/2304.04740) arXiv (Cornell University) · no summary yet**Aaron Lou, Stefano Ermon*2023 · 11 citations*
183. **[Improving Self-Supervised Learning by Characterizing Idealized Representations ↗](https://doi.org/10.52202/068431-0820) neural information processing systems · no summary yet**Yann Dubois et al.*2022 · 11 citations*
184. **[IQ-Learn: Inverse soft-Q Learning for Imitation ↗](https://arxiv.org/abs/2106.12142) arXiv (Cornell University) · no summary yet**Divyansh Garg et al.*2021 · 11 citations*
185. **[A Hybrid Approach for Probabilistic Inference using Random Projections ↗](https://openalex.org/W1843468135) no summary yet**Michael Zhu, Stefano Ermon*2015 · 11 citations*
186. **[Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale ↗](https://arxiv.org/abs/2503.01868) arXiv:2503.01868 · no summary yet**Jerome Ku et al.*2025 · 10 citations*
187. **[GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration ↗](https://arxiv.org/abs/2301.12686) arXiv (Cornell University) · no summary yet**Naoki Murata et al.*2023 · 10 citations*
188. **[LMPriors: Pre-Trained Language Models as Task-Specific Priors ↗](https://arxiv.org/abs/2210.12530) arXiv (Cornell University) · no summary yet**Kristy Choi et al.*2022 · 10 citations*
189. **[Training and Inference on Any-Order Autoregressive Models the Right Way ↗](https://doi.org/10.52202/068431-0200) neural information processing systems · no summary yet**Andy Shih, Dorsa Sadigh, Stefano Ermon*2022 · 10 citations*
190. **[Neural Network Compression for Noisy Storage Devices ↗](https://doi.org/10.1145/3588436) ACM Transactions on Embedded Computing Systems · no summary yet**Berivan Isik et al.*2021 · 10 citations*
191. **[Estimating High Order Gradients of the Data Distribution by Denoising ↗](https://arxiv.org/abs/2111.04726) arXiv (Cornell University) · no summary yet**Chenlin Meng et al.*2021 · 10 citations*
192. **[Temporal Predictive Coding For Model-Based Planning In Latent Space ↗](https://arxiv.org/abs/2106.07156) arXiv (Cornell University) · no summary yet**Tung Nguyen et al.*2021 · 10 citations*
193. **[Reliable Decisions with Threshold Calibration ↗](https://openalex.org/W3211887526) neural information processing systems · no summary yet**Roshni Sahoo et al.*2021 · 10 citations*
194. **[Multi-agent Imitation Learning with Copulas ↗](https://doi.org/10.1007/978-3-030-86486-6_9) Lecture notes in computer science · no summary yet**Hongwei Wang et al.*2021 · 10 citations*
195. **[Multi-agent Adversarial Inverse Reinforcement Learning with Latent Variables ↗](https://doi.org/10.65109/csnk6237) Adaptive Agents and Multi-Agents Systems · no summary yet**Nate Gruver et al.*2020 · 10 citations*
196. **[Bayesian optimization and attribute adjustment ↗](https://openalex.org/W2809657535) PuSH - Publication Server of Helmholtz Zentrum München · no summary yet**Stephan Eismann et al.*2018 · 10 citations*
197. **[Improved Training with Curriculum GANs ↗](https://arxiv.org/abs/1807.09295) arXiv (Cornell University) · no summary yet**Rishi Sharma et al.*2018 · 10 citations*
198. **[Computing the Density of States of Boolean Formulas ↗](https://doi.org/10.1007/978-3-642-15396-9_6) Lecture notes in computer science · no summary yet**Stefano Ermon, Carla Pedro Gomes, Bart Selman*2010 · 10 citations*
199. **[PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher ↗](https://doi.org/10.52202/079017-0606) neural information processing systems · no summary yet**Dongjun Kim et al.*2024 · 9 citations*
200. **[Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation ↗](https://doi.org/10.52202/075280-0026) neural information processing systems · no summary yet**Yuxuan Song et al.*2023 · 9 citations*

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