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title: "Stefano Ermon — all works, page 4 — 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 4 of 5 · 301–400 · [← Stefano Ermon](https://md.research.elamur.ai/free/en/authors/stefano-ermon/)

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301. **[The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models ↗](https://arxiv.org/abs/2310.02777) arXiv (Cornell University) · no summary yet**Chenwei Wu et al.*2023 · 2 citations*
302. **[Exploration Via Planning for Information About the Optimal Trajectory ↗](https://doi.org/10.52202/068431-2085) neural information processing systems · no summary yet**Viraj Mehta et al.*2022 · 2 citations*
303. **[ButterflyFlow: Building Invertible Layers with Butterfly Matrices ↗](https://arxiv.org/abs/2209.13774) arXiv (Cornell University) · no summary yet**Chenlin Meng et al.*2022 · 2 citations*
304. **[Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations ↗](https://doi.org/10.52202/068431-2203) neural information processing systems · no summary yet**Michael Poli et al.*2022 · 2 citations*
305. **[A General Recipe for Likelihood-free Bayesian Optimization ↗](https://arxiv.org/abs/2206.13035) arXiv (Cornell University) · no summary yet**Jiaming Song et al.*2022 · 2 citations*
306. **[HyperSPNs: Compact and Expressive Probabilistic Circuits ↗](https://arxiv.org/abs/2112.00914) arXiv (Cornell University) · no summary yet**Andy Shih, Dorsa Sadigh, Stefano Ermon*2021 · 2 citations*
307. **[Pseudo-Spherical Contrastive Divergence ↗](https://arxiv.org/abs/2111.00780) arXiv (Cornell University) · no summary yet**Lantao Yu et al.*2021 · 2 citations*
308. **[Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks ↗](https://arxiv.org/abs/2004.05471) arXiv (Cornell University) · no summary yet**Han Lin Aung et al.*2020 · 2 citations*
309. **[Flexible Approximate Inference via Stratified Normalizing Flows. ↗](https://openalex.org/W3089852753) Uncertainty in Artificial Intelligence · no summary yet**Chris Cundy, Stefano Ermon*2020 · 2 citations*
310. **[Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients ↗](https://arxiv.org/abs/2012.15019) arXiv (Cornell University) · no summary yet**Chris Cundy, Desai, Rishi, Stefano Ermon*2020 · 2 citations*
311. **[Autoregressive Score Matching ↗](https://arxiv.org/abs/2010.12810) arXiv (Cornell University) · no summary yet**Chenlin Meng et al.*2020 · 2 citations*
312. **[A Framework for Sample Efficient Interval Estimation with Control Variates ↗](https://arxiv.org/abs/2006.10287) arXiv (Cornell University) · no summary yet**Shengjia Zhao, Christopher Yeh, Stefano Ermon*2020 · 2 citations*
313. **[AlignFlow: Learning from multiple domains via normalizing flows. ↗](https://openalex.org/W2965948626) International Conference on Learning Representations · no summary yet**Aditya Grover et al.*2019 · 2 citations*
314. **[Differentiable Subset Sampling. ↗](https://openalex.org/W2918466559) no summary yet**Sang Michael Xie, Stefano Ermon*2019 · 2 citations*
315. **[Amortized Variational Compressive Sensing ↗](https://openalex.org/W2904929311) no summary yet**Aditya Grover, Stefano Ermon*2018 · 2 citations*
316. **[Stencil Autotuning with Ordinal Regression ↗](https://doi.org/10.1145/3078659.3078664) International Workshop on Software and Compilers for Embedded Systems (SCOPES) · no summary yet**Biagio Cosenza et al.*2017 · 2 citations*
317. **[Hybrid Deep Discriminative/Generative Models for Semi-Supervised Learning. ↗](https://openalex.org/W2771258660) Uncertainty in Artificial Intelligence · no summary yet**Volodymyr Kuleshov, Stefano Ermon*2017 · 2 citations*
318. **[A message passing approach to multiagent gaussian inference for dynamic processes ↗](https://doi.org/10.5555/2034396.2034524) no summary yet**Stefano Ermon, Carla Pedro Gomes, Bart Selman*2011 · 2 citations*
319. **[Trust Estimation in autonomic networks: a message passing approach ↗](https://doi.org/10.3182/20090924-3-it-4005.00033) IFAC Proceedings Volumes · no summary yet**Stefano Ermon*2009 · 2 citations*
320. **[Mitigating Bias in Locally Constrained Decoding via Tractable Proposals ↗](https://arxiv.org/abs/2606.01926) arXiv:2606.01926 · no summary yet**Meihua Dang et al.*2026 · 1 citation*
321. **[ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space ↗](https://arxiv.org/abs/2604.27443) arXiv (Cornell University) · no summary yet**Gabe Guo et al.*2026 · 1 citation*
322. **[Data Unlearning in Diffusion Models ↗](https://arxiv.org/abs/2503.01034) arXiv (Cornell University) · no summary yet**Silas Alberti et al.*2025 · 1 citation*
323. **[Preference-Guided Diffusion for Multi-Objective Offline Optimization ↗](https://doi.org/10.52202/085713-0533) neural information processing systems · no summary yet**Yashas Annadani et al.*2025 · 1 citation*
324. **[Inference-Time Scaling of Diffusion Language Models via Trajectory Refinement ↗](https://arxiv.org/abs/2507.08390) arXiv (Cornell University) · no summary yet**Meihua Dang et al.*2025 · 1 citation*
325. **[Discrete Diffusion Trajectory Alignment via Stepwise Decomposition ↗](https://arxiv.org/abs/2507.04832) arXiv (Cornell University) · no summary yet**Jiaqi Han et al.*2025 · 1 citation*
326. **[RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models ↗](https://arxiv.org/abs/2506.00710) arXiv (Cornell University) · no summary yet**Valter Hudovernik et al.*2025 · 1 citation*
327. **[Training-Free Safe Denoisers for Safe Use of Diffusion Models ↗](https://doi.org/10.52202/085713-4539) neural information processing systems · no summary yet**Mingyu Kim et al.*2025 · 1 citation*
328. **[TFG-Flow: Training-free Guidance in Multimodal Generative Flow ↗](https://arxiv.org/abs/2501.14216) arXiv (Cornell University) · no summary yet**Haowei Lin et al.*2025 · 1 citation*
329. **[Probabilistic Graphical Models: A Concise Tutorial ↗](https://arxiv.org/abs/2507.17116) arXiv (Cornell University) · no summary yet**Jacqueline R. M. A. Maasch et al.*2025 · 1 citation*
330. **[Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion ↗](https://doi.org/10.1109/ijcnn64981.2025.11228445) arXiv:2410.14758 · no summary yet**Bac Nguyen et al.*2025 · 1 citation*
331. **[Scaling Probabilistic Circuits via Monarch Matrices ↗](https://arxiv.org/abs/2506.12383) arXiv (Cornell University) · no summary yet**Honghua Zhang et al.*2025 · 1 citation*
332. **[Dynamic, high-resolution poverty measurement in data-scarce environments ↗](https://doi.org/10.1016/j.jdeveco.2025.103691) Journal of Development Economics · no summary yet**Zhuo Zheng et al.*2025 · 1 citation*
333. **[Neural Disaster Simulation for Transferable Building Damage Assessment ↗](https://doi.org/10.1016/j.rse.2025.114979) Remote Sensing of Environment · no summary yet**Zhuo Zheng et al.*2025 · 1 citation*
334. **[Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes ↗](https://doi.org/10.52202/079017-1706) neural information processing systems · no summary yet**Syrine Belakaria et al.*2024 · 1 citation*
335. **[Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis ↗](https://arxiv.org/abs/2410.07155) arXiv (Cornell University) · no summary yet**Zeng, Bohan et al.*2024 · 1 citation*
336. **[ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts ↗](https://arxiv.org/abs/2406.10973) arXiv (Cornell University) · no summary yet**Samar Khanna et al.*2024 · 1 citation*
337. **[Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation ↗](https://arxiv.org/abs/2410.08125) arXiv (Cornell University) · no summary yet**Felix Petersen et al.*2024 · 1 citation*
338. **[Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms ↗](https://doi.org/10.52202/079017-0821) neural information processing systems · no summary yet**Felix Petersen et al.*2024 · 1 citation*
339. **[Contextualized Diffusion Models for Text-Guided Image and Video Generation ↗](https://arxiv.org/abs/2402.16627) arXiv (Cornell University) · no summary yet**Ling Yang et al.*2024 · 1 citation*
340. **[SIGGRAPH 2023 Course on Diffusion Models ↗](https://doi.org/10.1145/3587423.3595503) ACM SIGGRAPH Courses · no summary yet**Chenlin Meng et al.*2023 · 1 citation*
341. **[Ideal Abstractions for Decision-Focused Learning ↗](https://arxiv.org/abs/2303.17062) arXiv (Cornell University) · no summary yet**Michael Poli et al.*2023 · 1 citation*
342. **[Autonomous screening of complex phase spaces using Bayesian optimization for SAXS measurements ↗](https://doi.org/10.1016/j.nima.2023.168719) Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · no summary yet**Khaled Younes et al.*2023 · 1 citation*
343. **[Generative Modeling Helps Weak Supervision (and Vice Versa) ↗](https://arxiv.org/abs/2203.12023) arXiv (Cornell University) · no summary yet**Benedikt Boecking et al.*2022 · 1 citation*
344. **[Modular Conformal Calibration ↗](https://arxiv.org/abs/2206.11468) arXiv (Cornell University) · no summary yet**Marx, Charles et al.*2022 · 1 citation*
345. **[H-divergence: A Decision-Theoretic Probability Discrepancy Measure ↗](https://openalex.org/W3133450003) no summary yet**Shengjia Zhao et al.*2021 · 1 citation*
346. **[Privacy Preserving Recalibration under Domain Shift ↗](https://arxiv.org/abs/2008.09643) arXiv (Cornell University) · no summary yet**Rachel Luo et al.*2020 · 1 citation*
347. **[Time Series Super Resolution withTemporal Adaptive Batch Normalization ↗](https://openalex.org/W2921699175) no summary yet**Volodymyr Kuleshov et al.*2018 · 1 citation*
348. **[Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference ↗](https://arxiv.org/abs/1810.02555) arXiv (Cornell University) · no summary yet**Mike Wu, Noah D. Goodman, Stefano Ermon*2018 · 1 citation*
349. **[General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis ↗](https://doi.org/10.1609/aaai.v31i1.11136) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Colin Wei, Stefano Ermon*2017 · 1 citation*
350. **[Density Propagation and Improved Bounds on the Partition Function ↗](https://openalex.org/W2165126939) no summary yet**Stefano Ermon et al.*2012 · 1 citation*
351. **[Constrained Decoding for Diffusion Language Models via Efficient Inference over Finite Automata ↗](https://arxiv.org/abs/2607.07026) arXiv (Cornell University) · no summary yet**Meihua Dang, Stefano Ermon*2026*
352. **[There and Back Again: Bidirectional Diffusion Bridges for Multimodality Translation ↗](https://arxiv.org/abs/2608.27885) arXiv (Cornell University) · no summary yet**Gabe Guo et al.*2026*
353. **[Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration ↗](https://arxiv.org/abs/2603.01623) arXiv (Cornell University) · no summary yet**Jiaqi Han et al.*2026*
354. **[Generative Modeling with Flux Matching ↗](https://arxiv.org/abs/2605.07319) arXiv (Cornell University) · no summary yet**Peter Pao-Huang, Xiaojie Qiu, Stefano Ermon*2026*
355. **[Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics ↗](https://arxiv.org/abs/2604.03911) arXiv (Cornell University) · no summary yet**Aniketh Iyengar et al.*2026*
356. **[Earth Embeddings: Toward artificial intelligence-centric representations of our planet ↗](https://doi.org/10.1109/mgrs.2026.3710416) IEEE Geoscience and Remote Sensing Magazine · no summary yet**Konstantin Klemmer et al.*2026*
357. **[Unpaired Image-to-Image Translation via a Self-Supervised Semantic Bridge ↗](https://arxiv.org/abs/2602.16664) arXiv (Cornell University) · no summary yet**Jiaming Liu et al.*2026*
358. **[GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning ↗](https://arxiv.org/abs/2601.22651) arXiv (Cornell University) · no summary yet**Naoki Murata et al.*2026*
359. **[Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment ↗](https://arxiv.org/abs/2601.01224) arXiv (Cornell University) · no summary yet**Bac Nguyen et al.*2026*
360. **[Improving Diffusion Language Model Decoding through Joint Search in Generation Order and Token Space ↗](https://arxiv.org/abs/2601.20339) arXiv (Cornell University) · no summary yet**Yi Shen et al.*2026*
361. **[Diffusion Language Model Parallel Decoding via Product-of-Experts Bridge ↗](https://arxiv.org/abs/2606.08048) arXiv (Cornell University) · no summary yet**Juntong Shi et al.*2026*
362. **[Neural Nonmyopic Bayesian Optimization in Dynamic Cost Settings ↗](https://arxiv.org/abs/2601.06505) arXiv (Cornell University) · no summary yet**Sang Truong et al.*2026*
363. **[Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models ↗](https://arxiv.org/abs/2605.26491) arXiv (Cornell University) · no summary yet**Austin Wang et al.*2026*
364. **[Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations ↗](https://arxiv.org/abs/2605.11633) arXiv (Cornell University) · no summary yet**Junjue Wang et al.*2026*
365. **[Generative modeling with structured diffusion models ↗](https://doi.org/10.25740/wn973jb3422) Stanford Digital Repository · no summary yet**Minkai Xu et al.*2026*
366. **[A satellite foundation model for improved wealth monitoring ↗](https://arxiv.org/abs/2604.23166) arXiv (Cornell University) · no summary yet**Zhuo Zheng et al.*2026*
367. **[Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF ↗](https://arxiv.org/abs/2503.22137) arXiv (Cornell University) · no summary yet**Syrine Belakaria et al.*2025*
368. **[RFG: Self-Improving Diffusion Large Language Models with Reward-Free Guidance ↗](https://arxiv.org/abs/2509.25604) arXiv (Cornell University) · no summary yet**Tianlang Chen et al.*2025*
369. **[Reviving Any-Subset Autoregressive Models with Principled Parallel Sampling and Speculative Decoding ↗](https://arxiv.org/abs/2504.20456) arXiv (Cornell University) · no summary yet**Guo, Gabe, Stefano Ermon*2025*
370. **[DistillKac: Few-Step Image Generation via Damped Wave Equations ↗](https://arxiv.org/abs/2509.21513) arXiv (Cornell University) · no summary yet**Weiqiao Han et al.*2025*
371. **[Spatiotemporal generative AI for multimodal and multiscale modeling of geospatial data ↗](https://doi.org/10.25740/rp813np6409) Stanford Digital Repository · no summary yet**Jeremy Irvin et al.*2025*
372. **[Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation ↗](https://doi.org/10.1145/3805689.3812229) arXiv:2511.17031 · no summary yet**Aniketh Iyengar et al.*2025*
373. **[Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints ↗](https://arxiv.org/abs/2507.04225) arXiv (Cornell University) · no summary yet**Dapeng Jiang et al.*2025*
374. **[REAR: Rethinking Visual Autoregressive Models via Generator-Tokenizer Consistency Regularization ↗](https://arxiv.org/abs/2510.04450) arXiv (Cornell University) · no summary yet**He, Qiyuan et al.*2025*
375. **[InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression ↗](https://arxiv.org/abs/2512.16975) arXiv (Cornell University) · no summary yet**Haotian Ye et al.*2025*
376. **[GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters ↗](https://arxiv.org/abs/2507.02085) arXiv (Cornell University) · no summary yet**Wanjia Zhao et al.*2025*
377. **[Non-Myopic Multi-Objective Bayesian Optimization ↗](https://arxiv.org/abs/2412.08085) arXiv (Cornell University) · no summary yet**Syrine Belakaria et al.*2024*
378. **[Efficient Scaling of Diffusion Transformers for Text-to-Image Generation ↗](https://arxiv.org/abs/2412.12391) arXiv (Cornell University) · no summary yet**Li, Hao et al.*2024*
379. **[CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion ↗](https://arxiv.org/abs/2409.07025) arXiv (Cornell University) · no summary yet**Joshua Kazdan et al.*2024*
380. **[Unsupervised Anomaly Detection Using Diffusion Trend Analysis for Display Inspection ↗](https://arxiv.org/abs/2407.09578) arXiv (Cornell University) · no summary yet**Eunwoo Kim et al.*2024*
381. **[Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space ↗](https://arxiv.org/abs/2410.01796) arXiv (Cornell University) · no summary yet**Yangming Li et al.*2024*
382. **[Calibrated Probabilistic Forecasts for Arbitrary Sequences ↗](https://arxiv.org/abs/2409.19157) PubMed · no summary yet**Charles T. Marx, Volodymyr Kuleshov, Stefano Ermon*2024*
383. **[G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving ↗](https://arxiv.org/abs/2410.14710) arXiv:2410.14710 · no summary yet**Naoki Murata et al.*2024*
384. **[TrAct: Making First-layer Pre-Activations Trainable ↗](https://doi.org/10.52202/079017-3303) neural information processing systems · no summary yet**Felix Petersen, Christian Borgelt, Stefano Ermon*2024*
385. **[MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning ↗](https://arxiv.org/abs/2304.04668) arXiv (Cornell University) · no summary yet**Banerjee, Arundhati et al.*2023*
386. **[Quantifying and Understanding Adversarial Examples in Discrete Input Spaces ↗](https://arxiv.org/abs/2112.06276) arXiv (Cornell University) · no summary yet**Volodymyr Kuleshov et al.*2021*
387. **[H-Entropy Search: Generalizing Bayesian Optimization with a Decision-theoretic Uncertainty Measure ↗](https://openalex.org/W3216226289) no summary yet**Willie Neiswanger et al.*2021*
388. **[Understanding Classifiers with Generative Models ↗](https://openalex.org/W3129477419) no summary yet**Laëtitia Shao, Yang Song, Stefano Ermon*2021*
389. **[Hybrid Mutual Information Lower-bound Estimators for Representation Learning ↗](https://openalex.org/W3159032860) International Conference on Learning Representations · no summary yet**Abhishek Sinha, Jiaming Song, Stefano Ermon*2021*
390. **[Equivariant Neural Network for Factor Graphs ↗](https://arxiv.org/abs/2109.14218) arXiv (Cornell University) · no summary yet**Fan-Yun Sun et al.*2021*
391. **[Improving Compositionality of Neural Networks by Decoding Representations to Inputs ↗](https://arxiv.org/abs/2106.00769) arXiv (Cornell University) · no summary yet**Mike Wu, Noah D. Goodman, Stefano Ermon*2021*
392. **[Noisy Neural Network Compression for Analog Storage Devices ↗](https://openalex.org/W3162554296) no summary yet**Berivan Isik et al.*2020*
393. **[Understanding Classifier Mistakes with Generative Models ↗](https://arxiv.org/abs/2010.02364) arXiv (Cornell University) · no summary yet**Laëtitia Shao, Yang Song, Stefano Ermon*2020*
394. **[Adversarial Domain Adaptation for Analyzing Low Resolution Images ↗](https://doi.org/10.13140/rg.2.2.19771.36642) no summary yet**Burak Uzkent, Stefano Ermon*2020*
395. **[Towards Certified Defense for Unrestricted Adversarial Attacks ↗](https://openalex.org/W2996810098) no summary yet**Shengjia Zhao, Yang Song, Stefano Ermon*2019*
396. **[LSH Softmax: Sub-Linear Learning and Inference of the Softmax Layer in Deep Architectures ↗](https://openalex.org/W2786456373) no summary yet**Daniel Lévy, Danlu Chan, Stefano Ermon*2018*
397. **[On the Limits of Learning Representations with Label-Based Supervision ↗](https://arxiv.org/abs/1703.02156) arXiv (Cornell University) · no summary yet**Jiaming Song et al.*2017*
398. **[Probabilistic Inference by Hashing and Optimization ↗](https://doi.org/10.7551/mitpress/10761.003.0010) The MIT Press eBooks · no summary yet**Stefano Ermon*2016*
399. **[Uncovering hidden structure through parallel problem decomposition for the set basis problem: application to materials discovery ↗](https://openalex.org/W2177673387) no summary yet**Yexiang Xue et al.*2015*
400. **[Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem. ↗](https://openalex.org/W2576803705) National Conference on Artificial Intelligence · no summary yet**Yexiang Xue et al.*2015*

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