PPaperPicks

Stefano Ermon

Stanford University

55 papers at tracked venues · 53 at CORE A* · active 2024–2025

DBLP profile ↗ORCID 0000-0003-0039-2887 ↗Google Scholar ↗Homepage ↗

Venues

NeurIPS ×17ICLR ×14ICML ×12CVPR ×6AAAI ×2AISTATS ×2ACL ×1ICCV ×1

Frequent coauthors

Minkai Xu
×12
Jiaqi Han
×8
Samar Khanna
×6
David B. Lobell
×6
Linqi Zhou
×6
Chenlin Meng
×6
Jure Leskovec
×5
Dongjun Kim
×5
Aaron Lou
×5
Haotian Ye
×4
Felix Petersen
×4
Rafael Rafailov
×4

Papers

  1. CHORDS: Diffusion Sampling Accelerator with Multi-Core Hierarchical ODE Solvers
    ICCV 2025 ·
    Jiaqi Han
    ,
    Haotian Ye
    ,
    Puheng Li
    ,
    Minkai Xu
    ,
    James Zou
    , Stefano Ermon
  2. CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion
    ICLR 2025 ·
    Joshua Kazdan
    ,
    Hao Sun
    ,
    Jiaqi Han
    ,
    Felix Petersen
    ,
    Frederick Vu
    , Stefano Ermon
  3. Data Unlearning in Diffusion Models
    ICLR 2025 ·
    Silas Alberti
    ,
    Kenan Hasanaliyev
    ,
    Manav Shah
    , Stefano Ermon
  4. Energy-Based Diffusion Language Models for Text Generation
    ICLR 2025 ·
    Minkai Xu
    ,
    Tomas Geffner
    ,
    Karsten Kreis
    ,
    Weili Nie
    ,
    Yilun Xu
    ,
    Jure Leskovec
    , Stefano Ermon,
    Arash Vahdat
  5. ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
    ICML 2025 ·
    Samar Khanna
    ,
    Medhanie Irgau
    ,
    David B. Lobell
    , Stefano Ermon
  6. Exploring Diffusion Transformer Designs via Grafting
    NeurIPS 2025 ·
    Keshigeyan Chandrasegaran
    ,
    Michael Poli
    ,
    Daniel Y. Fu
    ,
    Dongjun Kim
    ,
    Lea M. Hadzic
    ,
    Manling Li
    ,
    Agrim Gupta
    ,
    Stefano Massaroli
    ,
    Azalia Mirhoseini
    ,
    Juan Carlos Niebles
    , Stefano Ermon,
    Fei-Fei Li
  7. GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
    NeurIPS 2025 ·
    Wanjia Zhao
    ,
    Jiaqi Han
    ,
    Siyi Gu
    ,
    Mingjian Jiang
    ,
    James Y. Zou
    , Stefano Ermon
  8. Inductive Moment Matching
    ICML 2025 ·
    Linqi Zhou
    , Stefano Ermon,
    Jiaming Song
  9. Personalized Preference Fine-tuning of Diffusion Models
    CVPR 2025 ·
    Meihua Dang
    ,
    Anikait Singh
    ,
    Linqi Zhou
    , Stefano Ermon,
    Jiaming Song
  10. Preference-Guided Diffusion for Multi-Objective Offline Optimization
    NeurIPS 2025 ·
    Yashas Annadani
    ,
    Syrine Belakaria
    , Stefano Ermon,
    Stefan Bauer
    ,
    Barbara Engelhardt
  11. Scaling Probabilistic Circuits via Monarch Matrices
    ICML 2025 ·
    Honghua Zhang
    ,
    Meihua Dang
    ,
    Benjie Wang
    , Stefano Ermon,
    Nanyun Peng
    ,
    Guy Van den Broeck
  12. Smooth Interpolation for Improved Discrete Graph Generative Models
    ICML 2025 ·
    Yuxuan Song
    ,
    Juntong Shi
    ,
    Jingjing Gong
    ,
    Minkai Xu
    , Stefano Ermon,
    Hao Zhou
    ,
    Wei-Ying Ma
  13. TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data
    ICLR 2025 ·
    Jeremy Andrew Irvin
    ,
    Emily Ruoyu Liu
    ,
    Joyce Chuyi Chen
    ,
    Ines Dormoy
    ,
    Jinyoung Kim
    ,
    Samar Khanna
    ,
    Zhuo Zheng
    , Stefano Ermon
  14. TFG-Flow: Training-free Guidance in Multimodal Generative Flow
    ICLR 2025 ·
    Haowei Lin
    ,
    Shanda Li
    ,
    Haotian Ye
    ,
    Yiming Yang
    , Stefano Ermon,
    Yitao Liang
    ,
    Jianzhu Ma
  15. TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
    ICLR 2025 ·
    Juntong Shi
    ,
    Minkai Xu
    ,
    Harper Hua
    ,
    Hengrui Zhang
    , Stefano Ermon,
    Jure Leskovec
  16. Training-Free Safe Denoisers for Safe Use of Diffusion Models
    NeurIPS 2025 ·
    Mingyu Kim
    ,
    Dongjun Kim
    ,
    Amman Yusuf
    , Stefano Ermon,
    Mi Jung Park
  17. Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
    ICML 2025 ·
    Dapeng Jiang
    ,
    Xiangzhe Kong
    ,
    Jiaqi Han
    ,
    Mingyu Li
    ,
    Rui Jiao
    ,
    Wenbing Huang
    , Stefano Ermon,
    Jianzhu Ma
    ,
    Yang Liu
  18. f-PO: Generalizing Preference Optimization with f-divergence Minimization
    AISTATS 2025 ·
    Jiaqi Han
    ,
    Mingjian Jiang
    ,
    Yuxuan Song
    , Stefano Ermon,
    Minkai Xu
  19. Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
    NeurIPS 2024 ·
    Syrine Belakaria
    ,
    Ben Letham
    ,
    Jana Doppa
    ,
    Barbara Engelhardt
    , Stefano Ermon,
    Eytan Bakshy
  20. Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
    NeurIPS 2024 ·
    Siyi Gu
    ,
    Minkai Xu
    ,
    Alexander S. Powers
    ,
    Weili Nie
    ,
    Tomas Geffner
    ,
    Karsten Kreis
    ,
    Jure Leskovec
    ,
    Arash Vahdat
    , Stefano Ermon
  21. Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
    ICLR 2024 ·
    Dongjun Kim
    ,
    Chieh-Hsin Lai
    ,
    Wei-Hsiang Liao
    ,
    Naoki Murata
    ,
    Yuhta Takida
    ,
    Toshimitsu Uesaka
    ,
    Yutong He
    ,
    Yuki Mitsufuji
    , Stefano Ermon
  22. Convolutional Differentiable Logic Gate Networks
    NeurIPS 2024 ·
    Felix Petersen
    ,
    Hilde Kuehne
    ,
    Christian Borgelt
    ,
    Julian Welzel
    , Stefano Ermon
  23. Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
    ICLR 2024 ·
    Ling Yang
    ,
    Zhilong Zhang
    ,
    Zhaochen Yu
    ,
    Jingwei Liu
    ,
    Minkai Xu
    , Stefano Ermon,
    Bin Cui
  24. Denoising Diffusion Bridge Models
    ICLR 2024 ·
    Linqi Zhou
    ,
    Aaron Lou
    ,
    Samar Khanna
    , Stefano Ermon
  25. Diffusion Model Alignment Using Direct Preference Optimization
    CVPR 2024 ·
    Bram Wallace
    ,
    Meihua Dang
    ,
    Rafael Rafailov
    ,
    Linqi Zhou
    ,
    Aaron Lou
    ,
    Senthil Purushwalkam
    , Stefano Ermon,
    Caiming Xiong
    ,
    Shafiq Joty
    ,
    Nikhil Naik
  26. DiffusionSat: A Generative Foundation Model for Satellite Imagery
    ICLR 2024 ·
    Samar Khanna
    ,
    Patrick Liu
    ,
    Linqi Zhou
    ,
    Chenlin Meng
    ,
    Robin Rombach
    ,
    Marshall Burke
    ,
    David B. Lobell
    , Stefano Ermon
  27. Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
    ICML 2024 ·
    Aaron Lou
    ,
    Chenlin Meng
    , Stefano Ermon
  28. Disentangling Length from Quality in Direct Preference Optimization
    ACL 2024 ·
    Ryan Park
    ,
    Rafael Rafailov
    , Stefano Ermon,
    Chelsea Finn
  29. DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
    CVPR 2024 ·
    Linqi Zhou
    ,
    Andy Shih
    ,
    Chenlin Meng
    , Stefano Ermon
  30. Equivariant Graph Neural Operator for Modeling 3D Dynamics
    ICML 2024 ·
    Minkai Xu
    ,
    Jiaqi Han
    ,
    Aaron Lou
    ,
    Jean Kossaifi
    ,
    Arvind Ramanathan
    ,
    Kamyar Azizzadenesheli
    ,
    Jure Leskovec
    , Stefano Ermon,
    Anima Anandkumar
  31. Generative Fractional Diffusion Models
    NeurIPS 2024 ·
    Gabriel Nobis
    ,
    Maximilian Springenberg
    ,
    Marco Aversa
    ,
    Michael Detzel
    ,
    Rembert Daems
    ,
    Roderick Murray-Smith
    ,
    Shinichi Nakajima
    ,
    Sebastian Lapuschkin
    , Stefano Ermon,
    Tolga Birdal
    ,
    Manfred Opper
    ,
    Christoph Knochenhauer
    ,
    Luis Oala
    ,
    Wojciech Samek
  32. GeoLLM: Extracting Geospatial Knowledge from Large Language Models
    ICLR 2024 ·
    Rohin Manvi
    ,
    Samar Khanna
    ,
    Gengchen Mai
    ,
    Marshall Burke
    ,
    David B. Lobell
    , Stefano Ermon
  33. Geometric Trajectory Diffusion Models
    NeurIPS 2024 ·
    Jiaqi Han
    ,
    Minkai Xu
    ,
    Aaron Lou
    ,
    Haotian Ye
    , Stefano Ermon
  34. HIVE: Harnessing Human Feedback for Instructional Visual Editing
    CVPR 2024 ·
    Shu Zhang
    ,
    Xinyi Yang
    ,
    Yihao Feng
    ,
    Can Qin
    ,
    Chia-Chih Chen
    ,
    Ning Yu
    ,
    Zeyuan Chen
    ,
    Huan Wang
    ,
    Silvio Savarese
    , Stefano Ermon,
    Caiming Xiong
    ,
    Ran Xu
  35. HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
    AAAI 2024 ·
    Jonathan Xu
    ,
    Amna Elmustafa
    ,
    Liya Weldegebriel
    ,
    Emnet Negash
    ,
    Richard Lee
    ,
    Chenlin Meng
    , Stefano Ermon,
    David B. Lobell
  36. HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
    CVPR 2024 ·
    Jonathan Xu
    ,
    Amna Elmustafa
    ,
    Liya Weldegebriel
    ,
    Emnet Negash
    ,
    Richard Lee
    ,
    Chenlin Meng
    , Stefano Ermon,
    David B. Lobell
  37. Language Model Detectors Are Easily Optimized Against
    ICLR 2024 ·
    Charlotte Nicks
    ,
    Eric Mitchell
    ,
    Rafael Rafailov
    ,
    Archit Sharma
    ,
    Christopher D. Manning
    ,
    Chelsea Finn
    , Stefano Ermon
  38. Large Language Models are Geographically Biased
    ICML 2024 ·
    Rohin Manvi
    ,
    Samar Khanna
    ,
    Marshall Burke
    ,
    David B. Lobell
    , Stefano Ermon
  39. MADiff: Offline Multi-agent Learning with Diffusion Models
    NeurIPS 2024 ·
    Zhengbang Zhu
    ,
    Minghuan Liu
    ,
    Liyuan Mao
    ,
    Bingyi Kang
    ,
    Minkai Xu
    ,
    Yong Yu
    , Stefano Ermon,
    Weinan Zhang
  40. Manifold Preserving Guided Diffusion
    ICLR 2024 ·
    Yutong He
    ,
    Naoki Murata
    ,
    Chieh-Hsin Lai
    ,
    Yuhta Takida
    ,
    Toshimitsu Uesaka
    ,
    Dongjun Kim
    ,
    Wei-Hsiang Liao
    ,
    Yuki Mitsufuji
    ,
    J. Zico Kolter
    ,
    Ruslan Salakhutdinov
    , Stefano Ermon
  41. Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
    ICML 2024 ·
    Ling Yang
    ,
    Zhaochen Yu
    ,
    Chenlin Meng
    ,
    Minkai Xu
    , Stefano Ermon,
    Bin Cui
  42. Mechanistic Design and Scaling of Hybrid Architectures
    ICML 2024 ·
    Michael Poli
    ,
    Armin W. Thomas
    ,
    Eric Nguyen
    ,
    Pragaash Ponnusamy
    ,
    Björn Deiseroth
    ,
    Kristian Kersting
    ,
    Taiji Suzuki
    ,
    Brian L. Hie
    , Stefano Ermon,
    Christopher Ré
    ,
    Ce Zhang
    ,
    Stefano Massaroli
  43. Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
    NeurIPS 2024 ·
    Felix Petersen
    ,
    Christian Borgelt
    ,
    Tobias Sutter
    ,
    Hilde Kuehne
    ,
    Oliver Deussen
    , Stefano Ermon
  44. On the Scalability of Diffusion-based Text-to-Image Generation
    CVPR 2024 ·
    Hao Li
    ,
    Yang Zou
    ,
    Ying Wang
    ,
    Orchid Majumder
    ,
    Yusheng Xie
    ,
    R. Manmatha
    ,
    Ashwin Swaminathan
    ,
    Zhuowen Tu
    , Stefano Ermon,
    Stefano Soatto
  45. PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
    NeurIPS 2024 ·
    Dongjun Kim
    ,
    Chieh-Hsin Lai
    ,
    Wei-Hsiang Liao
    ,
    Yuhta Takida
    ,
    Naoki Murata
    ,
    Toshimitsu Uesaka
    ,
    Yuki Mitsufuji
    , Stefano Ermon
  46. Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data
    ICML 2024 ·
    Fahim Tajwar
    ,
    Anikait Singh
    ,
    Archit Sharma
    ,
    Rafael Rafailov
    ,
    Jeff Schneider
    ,
    Tengyang Xie
    , Stefano Ermon,
    Chelsea Finn
    ,
    Aviral Kumar
  47. Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients
    AISTATS 2024 ·
    Chris Cundy
    ,
    Rishi Desai
    , Stefano Ermon
  48. Segment Any Change
    NeurIPS 2024 ·
    Zhuo Zheng
    ,
    Yanfei Zhong
    ,
    Liangpei Zhang
    , Stefano Ermon
  49. Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations
    NeurIPS 2024 ·
    Nikil Roashan Selvam
    ,
    Amil Merchant
    , Stefano Ermon
  50. SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
    ICLR 2024 ·
    Chris Cundy
    , Stefano Ermon
  51. State-Free Inference of State-Space Models: The *Transfer Function* Approach
    ICML 2024 ·
    Rom N. Parnichkun
    ,
    Stefano Massaroli
    ,
    Alessandro Moro
    ,
    Jimmy T. H. Smith
    ,
    Ramin M. Hasani
    ,
    Mathias Lechner
    ,
    Qi An
    ,
    Christopher Ré
    ,
    Hajime Asama
    , Stefano Ermon,
    Taiji Suzuki
    ,
    Michael Poli
    ,
    Atsushi Yamashita
  52. TFG: Unified Training-Free Guidance for Diffusion Models
    NeurIPS 2024 ·
    Haotian Ye
    ,
    Haowei Lin
    ,
    Jiaqi Han
    ,
    Minkai Xu
    ,
    Sheng Liu
    ,
    Yitao Liang
    ,
    Jianzhu Ma
    ,
    James Y. Zou
    , Stefano Ermon
  53. TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
    NeurIPS 2024 ·
    Nemin Wu
    ,
    Qian Cao
    ,
    Zhangyu Wang
    ,
    Zeping Liu
    ,
    Yanlin Qi
    ,
    Jielu Zhang
    ,
    Joshua Ni
    ,
    Xiaobai Angela Yao
    ,
    Hongxu Ma
    ,
    Lan Mu
    , Stefano Ermon,
    Tanuja Ganu
    ,
    Akshay Nambi
    ,
    Ni Lao
    ,
    Gengchen Mai
  54. TrAct: Making First-layer Pre-Activations Trainable
    NeurIPS 2024 ·
    Felix Petersen
    ,
    Christian Borgelt
    , Stefano Ermon
  55. Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution
    AAAI 2024 ·
    Tailin Wu
    ,
    Willie Neiswanger
    ,
    Hongtao Zheng
    , Stefano Ermon,
    Jure Leskovec