Stefano Ermon

Stanford Medicine — United States

Computer Science · Physical Sciences

65h-index24.2kcitations473works8.82yr avg
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Research Topics

Generative Adversarial Networks and Image Synthesis(93), Adversarial Robustness in Machine Learning(44), Domain Adaptation and Few-Shot Learning(41), Topic Modeling(33), Anomaly Detection Techniques and Applications(32)

Publications472 total

InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression
ArXiv.org·2025Open Access
InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression
arXiv (Cornell University)·2025Open Access
Dynamic, high-resolution poverty measurement in data-scarce environments
Journal of Development Economics·2025
RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance
arXiv (Cornell University)·2025Open Access
DiffusionNFT: Online Diffusion Reinforcement with Forward Process
arXiv (Cornell University)·2025Open Access
Probabilistic Graphical Models: A Concise Tutorial
arXiv (Cornell University)·2025Open Access
Divergence Minimization Preference Optimization for Diffusion Model Alignment
arXiv (Cornell University)·2025Open Access
Discrete Diffusion Trajectory Alignment via Stepwise Decomposition
arXiv (Cornell University)·2025Open Access
Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
arXiv (Cornell University)·2025Open Access
Scaling Probabilistic Circuits via Monarch Matrices
arXiv (Cornell University)·2025Open Access
Exploring Diffusion Transformer Designs via Grafting
arXiv (Cornell University)·2025Open Access
RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models
arXiv (Cornell University)·2025Open Access
Aligning Large Language Models with Human Feedback: Mathematical Foundations and Algorithm Design
2025Open Access
Reviving Any-Subset Autoregressive Models with Principled Parallel Sampling and Speculative Decoding
arXiv (Cornell University)·2025Open Access
Inductive Moment Matching
arXiv (Cornell University)·2025Open Access
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real Users
arXiv (Cornell University)·2025Open Access
Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale
ArXiv.org·2025· 1 citedOpen Access
Genome modeling and design across all domains of life with Evo 2
2025· 146 citedOpen Access
Training-Free Safe Denoisers for Safe Use of Diffusion Models
arXiv (Cornell University)·2025Open Access
Dynamic, High-Resolution Wealth Measurement in Data-Scarce Environments
Washington, DC: World Bank eBooks·2025· 2 cited
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Frequent Co-authors

David B. Lobell(8), Marshall Burke(5), Yang Song(5), Yang Song(5), Jiaming Song(5), Nate Kushman(4), Rui Shu(4), Chelsea Finn(3), Christopher Ré(3), Armin W. Thomas(3), Neal Jean(3), Aditya Grover(3), William C. Chueh(3), Hirokazu Narui(3), Shengjia Zhao(3), Jiaming Song(3), Michael Poli(3), S. B. King(3), Stephen A. Baccus(3), Chenlin Meng(3)