---
title: "Stefano Ermon — all works, page 3 — 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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# Stefano Ermon — all works

409 works · page 3 of 5 · 201–300 · [← Stefano Ermon](https://md.research.elamur.ai/free/en/authors/stefano-ermon/)

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201. **[Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching ↗](https://doi.org/10.1609/aaai.v37i9.26305) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Lantao Yu et al.*2023 · 9 citations*
202. **[Denoising Diffusion Bridge Models ↗](https://arxiv.org/abs/2309.16948) arXiv (Cornell University) · no summary yet**Linqi Zhou et al.*2023 · 9 citations*
203. **[Imitation Learning by Estimating Expertise of Demonstrators ↗](https://arxiv.org/abs/2202.01288) arXiv (Cornell University) · no summary yet**Mark Beliaev et al.*2022 · 9 citations*
204. **[Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information ↗](https://arxiv.org/abs/2104.09460) arXiv (Cornell University) · no summary yet**Willie Neiswanger, Ke Alexander Wang, Stefano Ermon*2021 · 9 citations*
205. **[PiRank: Scalable Learning To Rank via Differentiable Sorting ↗](https://arxiv.org/abs/2012.06731) arXiv (Cornell University) · no summary yet**Robin M. E. Swezey et al.*2020 · 9 citations*
206. **[Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search ↗](https://arxiv.org/abs/1707.03372) arXiv (Cornell University) · no summary yet**Stephen Mussmann, Levy, Daniel, Stefano Ermon*2017 · 9 citations*
207. **[Beyond parity constraints: Fourier analysis of hash functions for inference ↗](https://openalex.org/W2471078913) International Conference on Machine Learning · no summary yet**Tudor Achim, Ashish Sabharwal, Stefano Ermon*2016 · 9 citations*
208. **[Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization ↗](https://doi.org/10.52202/079017-1398) neural information processing systems · no summary yet**Siyi Gu et al.*2024 · 8 citations*
209. **[Long Horizon Temperature Scaling ↗](https://arxiv.org/abs/2302.03686) arXiv (Cornell University) · no summary yet**Shih, Andy, Dorsa Sadigh, Stefano Ermon*2023 · 8 citations*
210. **[Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives ↗](https://doi.org/10.1088/2632-2153/ad169f) Machine Learning Science and Technology · no summary yet**Sara Miskovich et al.*2023 · 8 citations*
211. **[Manifold Preserving Guided Diffusion ↗](https://arxiv.org/abs/2311.16424) arXiv (Cornell University) · no summary yet**He, Yutong et al.*2023 · 8 citations*
212. **[Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution ↗](https://arxiv.org/abs/2204.01736) arXiv (Cornell University) · no summary yet**Yutong He et al.*2022 · 8 citations*
213. **[Reward Identification in Inverse Reinforcement Learning ↗](https://openalex.org/W3169109844) International Conference on Machine Learning · no summary yet**Kuno Kim et al.*2021 · 8 citations*
214. **[Negative Data Augmentation ↗](https://arxiv.org/abs/2102.05113) arXiv (Cornell University) · no summary yet**Abhishek Sinha et al.*2021 · 8 citations*
215. **[Anytime Sampling for Autoregressive Models via Ordered Autoencoding ↗](https://arxiv.org/abs/2102.11495) arXiv (Cornell University) · no summary yet**Yilun Xu et al.*2021 · 8 citations*
216. **[Efficient Learning of Generative Models via Finite-Difference Score Matching ↗](https://arxiv.org/abs/2007.03317) arXiv (Cornell University) · no summary yet**Tianyu Pang et al.*2020 · 8 citations*
217. **[Predictive Coding for Locally-Linear Control ↗](https://arxiv.org/abs/2003.01086) arXiv (Cornell University) · no summary yet**Rui Shu et al.*2020 · 8 citations*
218. **[Evaluating the Disentanglement of Deep Generative Models through Manifold Topology ↗](https://arxiv.org/abs/2006.03680) arXiv (Cornell University) · no summary yet**Sharon Zhou et al.*2020 · 8 citations*
219. **[Neural Variational Inference and Learning in Undirected Graphical Models ↗](https://arxiv.org/abs/1711.02679) arXiv (Cornell University) · no summary yet**Volodymyr Kuleshov, Stefano Ermon*2017 · 8 citations*
220. **[Structured Scaling of AI Discovery Across Diverse Scientific Domains ↗](https://arxiv.org/abs/2604.19341) arXiv (Cornell University) · no summary yet**Haotian Ye et al.*2026 · 7 citations*
221. **[Geometric Trajectory Diffusion Models ↗](https://doi.org/10.52202/079017-0806) neural information processing systems · no summary yet**Jiaqi Han et al.*2024 · 7 citations*
222. **[TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation ↗](https://arxiv.org/abs/2410.20626) arXiv (Cornell University) · no summary yet**Shi, Juntong et al.*2024 · 7 citations*
223. **[Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations ↗](https://doi.org/10.52202/079017-0176) neural information processing systems · no summary yet**Nikil Roashan Selvam, Amil Merchant, Stefano Ermon*2024 · 7 citations*
224. **[Equivariant Graph Neural Operator for Modeling 3D Dynamics ↗](https://arxiv.org/abs/2401.11037) arXiv (Cornell University) · no summary yet**Minkai Xu et al.*2024 · 7 citations*
225. **[Consistency Flow Matching: Defining Straight Flows with Velocity Consistency ↗](https://arxiv.org/abs/2407.02398) arXiv (Cornell University) · no summary yet**Ling Xiao Yang et al.*2024 · 7 citations*
226. **[SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking ↗](https://arxiv.org/abs/2306.05426) arXiv (Cornell University) · no summary yet**Chris Cundy, Stefano Ermon*2023 · 7 citations*
227. **[Extreme Q-Learning: MaxEnt RL without Entropy ↗](https://arxiv.org/abs/2301.02328) arXiv (Cornell University) · no summary yet**Divyansh Garg et al.*2023 · 7 citations*
228. **[Understanding economic development in rural Africa using satellite imagery, building footprints and deep models ↗](https://doi.org/10.1145/3557915.3561025) ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · no summary yet**Amna Elmustafa et al.*2022 · 7 citations*
229. **[FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation ↗](https://arxiv.org/abs/2210.04296) arXiv (Cornell University) · no summary yet**Chieh-Hsin Lai et al.*2022 · 7 citations*
230. **[Conditional Imitation Learning for Multi-Agent Games ↗](https://doi.org/10.1109/hri53351.2022.9889671) ACM/IEEE International Conference on Human-Robot Interaction (HRI) · no summary yet**Andy Shih, Stefano Ermon, Dorsa Sadigh*2022 · 7 citations*
231. **[Probabilistic Circuits for Variational Inference in Discrete Graphical Models ↗](https://arxiv.org/abs/2010.11446) arXiv (Cornell University) · no summary yet**Andy Shih, Stefano Ermon*2020 · 7 citations*
232. **[Adaptive Hashing for Model Counting. ↗](https://openalex.org/W2966479870) Uncertainty in Artificial Intelligence · no summary yet**Jonathan Kuck et al.*2019 · 7 citations*
233. **[Adaptive Antithetic Sampling for Variance Reduction ↗](https://openalex.org/W2946426880) International Conference on Machine Learning · no summary yet**Hongyu Ren, Shengjia Zhao, Stefano Ermon*2019 · 7 citations*
234. **[Accelerating Natural Gradient with Higher-Order Invariance ↗](https://arxiv.org/abs/1803.01273) arXiv (Cornell University) · no summary yet**Yang Song, Jiaming Song, Stefano Ermon*2018 · 7 citations*
235. **[Shape optimization in laminar flow with a label-guided variational autoencoder ↗](https://arxiv.org/abs/1712.03599) arXiv (Cornell University) · no summary yet**Stephan Eismann, Stefan H. Bartzsch, Stefano Ermon*2017 · 7 citations*
236. **[Importance sampling over sets: a new probabilistic inference scheme ↗](https://openalex.org/W2403475379) no summary yet**Stefan Hadjis, Stefano Ermon*2015 · 7 citations*
237. **[Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective ↗](https://arxiv.org/abs/2512.03759) arXiv (Cornell University) · no summary yet**Jingyang Ou et al.*2025 · 6 citations*
238. **[Scaling Riemannian Diffusion Models ↗](https://doi.org/10.52202/075280-3519) neural information processing systems · no summary yet**Aaron Lou et al.*2023 · 6 citations*
239. **[Sample Efficient Preference Alignment in LLMs via Active Exploration ↗](https://arxiv.org/abs/2312.00267) arXiv (Cornell University) · no summary yet**Viraj Mehta et al.*2023 · 6 citations*
240. **[Featurized Density Ratio Estimation ↗](https://arxiv.org/abs/2107.02212) arXiv (Cornell University) · no summary yet**Kristy Choi, Madeline Liao, Stefano Ermon*2021 · 6 citations*
241. **[Local Calibration: Metrics and Recalibration ↗](https://arxiv.org/abs/2102.10809) arXiv (Cornell University) · no summary yet**Rachel Luo et al.*2021 · 6 citations*
242. **[D2C: Diffusion-Denoising Models for Few-shot Conditional Generation ↗](https://arxiv.org/abs/2106.06819) arXiv (Cornell University) · no summary yet**Abhishek Sinha et al.*2021 · 6 citations*
243. **[Unsupervised Calibration under Covariate Shift ↗](https://arxiv.org/abs/2006.16405) arXiv (Cornell University) · no summary yet**Anusri Pampari, Stefano Ermon*2020 · 6 citations*
244. **[Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation ↗](https://arxiv.org/abs/2002.03629) arXiv:2002.03629 · no summary yet**Yang Song et al.*2020 · 6 citations*
245. **[Streamlining variational inference for constraint satisfaction problems* ↗](https://doi.org/10.1088/1742-5468/ab371f) Journal of Statistical Mechanics Theory and Experiment · no summary yet**Aditya Grover, Tudor Achim, Stefano Ermon*2019 · 6 citations*
246. **[Variational Rejection Sampling ↗](https://arxiv.org/abs/1804.01712) arXiv (Cornell University) · no summary yet**Aditya Grover et al.*2018 · 6 citations*
247. **[A Lagrangian Perspective on Latent Variable Generative Models ↗](https://openalex.org/W2809595412) Uncertainty in Artificial Intelligence · no summary yet**Shengjia Zhao, Jiaming Song, Stefano Ermon*2018 · 6 citations*
248. **[Variable Elimination in the Fourier Domain ↗](https://arxiv.org/abs/1508.04032) arXiv (Cornell University) · no summary yet**Yexiang Xue et al.*2015 · 6 citations*
249. **[Accelerated Adaptive Markov Chain for Partition Function Computation ↗](https://openalex.org/W2136961580) no summary yet**Stefano Ermon et al.*2011 · 6 citations*
250. **[A flat histogram method for computing the density of states of combinatorial problems ↗](https://doi.org/10.5591/978-1-57735-516-8/ijcai11-434) no summary yet**Stefano Ermon, Carla Pedro Gomes, Bart Selman*2011 · 6 citations*
251. **[Exploring Diffusion Transformer Designs via Grafting ↗](https://doi.org/10.52202/085713-0603) neural information processing systems · no summary yet**Keshigeyan Chandrasegaran et al.*2025 · 5 citations*
252. **[Personalized Preference Fine-tuning of Diffusion Models ↗](https://doi.org/10.1109/cvpr52734.2025.00751) 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**Meihua Dang et al.*2025 · 5 citations*
253. **[FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users ↗](https://arxiv.org/abs/2502.19312) arXiv (Cornell University) · no summary yet**Anikait Singh et al.*2025 · 5 citations*
254. **[TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data ↗](https://arxiv.org/abs/2410.06234) arXiv (Cornell University) · no summary yet**Jeremy Irvin et al.*2024 · 5 citations*
255. **[f-PO: Generalizing Preference Optimization with f-divergence Minimization ↗](https://arxiv.org/abs/2410.21662) arXiv (Cornell University) · no summary yet**Han, Jiaqi et al.*2024 · 5 citations*
256. **[Generalizing Bayesian Optimization with Decision-Theoretic Entropies ↗](https://doi.org/10.52202/068431-1528) neural information processing systems · no summary yet**Willie Neiswanger et al.*2022 · 5 citations*
257. **[Transform Once: Efficient Operator Learning in Frequency Domain ↗](https://doi.org/10.52202/068431-0577) neural information processing systems · no summary yet**Michael Poli et al.*2022 · 5 citations*
258. **[Density Ratio Estimation via Infinitesimal Classification ↗](https://arxiv.org/abs/2111.11010) arXiv (Cornell University) · no summary yet**Kristy Choi et al.*2021 · 5 citations*
259. **[An Experimental Design Perspective on Model-Based Reinforcement Learning ↗](https://arxiv.org/abs/2112.05244) arXiv (Cornell University) · no summary yet**Viraj Mehta et al.*2021 · 5 citations*
260. **[Gaussianization Flows ↗](https://arxiv.org/abs/2003.01941) arXiv (Cornell University) · no summary yet**Chenlin Meng et al.*2020 · 5 citations*
261. **[Approximating the Permanent by Sampling from Adaptive Partitions ↗](https://arxiv.org/abs/1911.11856) arXiv (Cornell University) · no summary yet**Jonathan Kuck et al.*2019 · 5 citations*
262. **[Domain Adaptation for Human Fall Detection Using WiFi Channel State Information ↗](https://doi.org/10.1007/978-3-030-24409-5_17) Studies in computational intelligence · no summary yet**Hirokazu Narui et al.*2019 · 5 citations*
263. **[Bridging the Gap Between f-GANs and Wasserstein GANs ↗](https://arxiv.org/abs/1910.09779) arXiv (Cornell University) · no summary yet**Jiaming Song, Stefano Ermon*2019 · 5 citations*
264. **[A Survey of Human Activity Recognition Using WiFi CSI ↗](https://arxiv.org/abs/1708.07129) arXiv (Cornell University) · no summary yet**Siamak Yousefi et al.*2017 · 5 citations*
265. **[Solving Marginal MAP Problems with NP Oracles and Parity Constraints ↗](https://arxiv.org/abs/1610.02591) arXiv (Cornell University) · no summary yet**Yexiang Xue et al.*2016 · 5 citations*
266. **[Tight Variational Bounds via Random Projections and I-Projections ↗](https://arxiv.org/abs/1510.01308) arXiv (Cornell University) · no summary yet**Lun-Kai Hsu, Tudor Achim, Stefano Ermon*2015 · 5 citations*
267. **[Generative modeling enables molecular structure retrieval from Coulomb explosion imaging ↗](https://doi.org/10.1038/s41467-026-70160-5) Nature Communications · no summary yet**Xiang Li et al.*2026 · 4 citations*
268. **[The Principles of Diffusion Models ↗](https://arxiv.org/abs/2510.21890) arXiv (Cornell University) · no summary yet**Lai, Chieh-Hsin et al.*2025 · 4 citations*
269. **[Data-regularized Reinforcement Learning for Diffusion Models at Scale ↗](https://arxiv.org/abs/2512.04332) arXiv:2512.04332 · no summary yet**Haotian Ye et al.*2025 · 4 citations*
270. **[On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization ↗](https://arxiv.org/abs/2306.00367) arXiv (Cornell University) · no summary yet**Chieh-Hsin Lai et al.*2023 · 4 citations*
271. **[Deep Latent State Space Models for Time-Series Generation ↗](https://arxiv.org/abs/2212.12749) arXiv (Cornell University) · no summary yet**Linqi Zhou et al.*2022 · 4 citations*
272. **[BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery ↗](https://arxiv.org/abs/2112.02761) arXiv (Cornell University) · no summary yet**Chris Cundy, Aditya Grover, Stefano Ermon*2021 · 4 citations*
273. **[Imitation with Neural Density Models ↗](https://arxiv.org/abs/2010.09808) arXiv (Cornell University) · no summary yet**Kuno Kim et al.*2020 · 4 citations*
274. **[Approximating Human Judgment of Generated Image Quality ↗](https://arxiv.org/abs/1912.12121) arXiv (Cornell University) · no summary yet**Y. Alex Kolchinski et al.*2019 · 4 citations*
275. **[Training Variational Autoencoders with Buffered Stochastic Variational Inference ↗](https://arxiv.org/abs/1902.10294) arXiv (Cornell University) · no summary yet**Rui Shu et al.*2019 · 4 citations*
276. **[Variational Bayes on Monte Carlo Steroids ↗](https://openalex.org/W2554637102) neural information processing systems · no summary yet**Aditya Grover, Stefano Ermon*2016 · 4 citations*
277. **[Playing games against nature: optimal policies for renewable resource allocation ↗](https://arxiv.org/abs/1203.3478) arXiv (Cornell University) · no summary yet**Stefano Ermon et al.*2012 · 4 citations*
278. **[A Unified View of Score-Based and Drifting Models ↗](https://arxiv.org/abs/2603.07514) arXiv (Cornell University) · no summary yet**Chieh-Hsin Lai et al.*2026 · 3 citations*
279. **[CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow Map Models ↗](https://arxiv.org/abs/2509.24526) arXiv:2509.24526 · no summary yet**Zheyuan Hu et al.*2025 · 3 citations*
280. **[Earth Embeddings: Towards AI-centric Representations of our Planet ↗](https://doi.org/10.31223/x5hx9s) no summary yet**Konstantin Klemmer et al.*2025 · 3 citations*
281. **[Generative Fractional Diffusion Models ↗](https://doi.org/10.52202/079017-0802) neural information processing systems · no summary yet**Gabriel Nobis et al.*2024 · 3 citations*
282. **[Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution ↗](https://doi.org/10.1609/aaai.v38i1.27785) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Tailin Wu et al.*2024 · 3 citations*
283. **[SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution ↗](https://arxiv.org/abs/2310.00413) arXiv (Cornell University) · no summary yet**Gengchen Mai et al.*2023 · 3 citations*
284. **[Challenges in KDD and ML for Sustainable Development ↗](https://doi.org/10.1145/3447548.3470798) no summary yet**Laure Berti‐Équille et al.*2021 · 3 citations*
285. **[Improved Autoregressive Modeling with Distribution Smoothing ↗](https://arxiv.org/abs/2103.15089) arXiv (Cornell University) · no summary yet**Chenlin Meng et al.*2021 · 3 citations*
286. **[A Unified Framework for Multi-distribution Density Ratio Estimation ↗](https://arxiv.org/abs/2112.03440) arXiv (Cornell University) · no summary yet**Lantao Yu, Yujia Jin, Stefano Ermon*2021 · 3 citations*
287. **[Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration ↗](https://arxiv.org/abs/2011.07476) arXiv (Cornell University) · no summary yet**Shengjia Zhao, Stefano Ermon*2020 · 3 citations*
288. **[Distributed generation of privacy preserving data with user customization ↗](https://arxiv.org/abs/1904.09415) arXiv (Cornell University) · no summary yet**Chen, Xiao et al.*2019 · 3 citations*
289. **[Generative Adversarial Learning of Markov Chains ↗](https://openalex.org/W2903692257) International Conference on Learning Representations · no summary yet**Jiaming Song, Shengjia Zhao, Stefano Ermon*2017 · 3 citations*
290. **[Collaborative multiagent Gaussian inference in a dynamic environment using belief propagation ↗](https://doi.org/10.5555/1838206.1838411) no summary yet**Stefano Ermon, Carla Pedro Gomes, Bart Selman*2010 · 3 citations*
291. **[One-Step Generative Modeling via Wasserstein Gradient Flows ↗](https://arxiv.org/abs/2605.11755) arXiv (Cornell University) · no summary yet**Jiaqi Han et al.*2026 · 2 citations*
292. **[CHORDS: Diffusion Sampling Accelerator with Multi-Core Hierarchical ODE Solvers ↗](https://doi.org/10.1109/iccv51701.2025.01802) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Jiaqi Han et al.*2025 · 2 citations*
293. **[MeanFlow Transformers with Representation Autoencoders ↗](https://arxiv.org/abs/2511.13019) arXiv (Cornell University) · no summary yet**Zheyuan Hu et al.*2025 · 2 citations*
294. **[Divergence Minimization Preference Optimization for Diffusion Model Alignment ↗](https://arxiv.org/abs/2507.07510) arXiv (Cornell University) · no summary yet**Binxu Li et al.*2025 · 2 citations*
295. **[GeoEvolve: Automating Geospatial Model Discovery via Multi-Agent Large Language Models ↗](https://arxiv.org/abs/2509.21593) arXiv (Cornell University) · no summary yet**Peng Luo et al.*2025 · 2 citations*
296. **[Dynamic, High-Resolution Wealth Measurement in Data-Scarce Environments ↗](https://doi.org/10.1596/1813-9450-11058) World Bank, Washington, DC eBooks · no summary yet**Zhuo Zheng et al.*2025 · 2 citations*
297. **[State-Free Inference of State-Space Models: The Transfer Function Approach ↗](https://arxiv.org/abs/2405.06147) arXiv (Cornell University) · no summary yet**Rom N. Parnichkun et al.*2024 · 2 citations*
298. **[Building Coverage Estimation with Low-resolution Remote Sensing Imagery ↗](https://arxiv.org/abs/2301.01449) arXiv (Cornell University) · no summary yet**Liu, Enci et al.*2023 · 2 citations*
299. **[Calibration by Distribution Matching: Trainable Kernel Calibration Metrics ↗](https://doi.org/10.52202/075280-1127) neural information processing systems · no summary yet**Charlie Marx, Sofian Zalouk, Stefano Ermon*2023 · 2 citations*
300. **[Equivariant Flow Matching with Hybrid Probability Transport ↗](https://arxiv.org/abs/2312.07168) arXiv (Cornell University) · no summary yet**Yuxuan Song et al.*2023 · 2 citations*

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