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

Jiaqi Han
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Linqi Zhou
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Felix Petersen
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Minkai Xu
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Samar Khanna
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Dongjun Kim
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Ling Yang
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Rohin Manvi
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Jonathan Xu
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Chris Cundy
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Joshua Kazdan
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Silas Alberti
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Papers

  1. CHORDS: Diffusion Sampling Accelerator with Multi-Core Hierarchical ODE Solvers
    ICCV 2025 ·
    Jiaqi Han
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  2. CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion
    ICLR 2025 ·
    Joshua Kazdan
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  3. Data Unlearning in Diffusion Models
    ICLR 2025 ·
    Silas Alberti
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  4. Energy-Based Diffusion Language Models for Text Generation
    ICLR 2025 ·
    Minkai Xu
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  5. ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
    ICML 2025 ·
    Samar Khanna
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  6. Exploring Diffusion Transformer Designs via Grafting
    NeurIPS 2025 ·
    Keshigeyan Chandrasegaran
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  7. GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
    NeurIPS 2025 ·
    Wanjia Zhao
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  8. Inductive Moment Matching
    ICML 2025 ·
    Linqi Zhou
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  9. Personalized Preference Fine-tuning of Diffusion Models
    CVPR 2025 ·
    Meihua Dang
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  10. Preference-Guided Diffusion for Multi-Objective Offline Optimization
    NeurIPS 2025 ·
    Yashas Annadani
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  11. Scaling Probabilistic Circuits via Monarch Matrices
    ICML 2025 ·
    Honghua Zhang
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  12. Smooth Interpolation for Improved Discrete Graph Generative Models
    ICML 2025 ·
    Yuxuan Song
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  13. TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data
    ICLR 2025 ·
    Jeremy Andrew Irvin
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  14. TFG-Flow: Training-free Guidance in Multimodal Generative Flow
    ICLR 2025 ·
    Haowei Lin
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  15. TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
    ICLR 2025 ·
    Juntong Shi
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  16. Training-Free Safe Denoisers for Safe Use of Diffusion Models
    NeurIPS 2025 ·
    Mingyu Kim
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  17. Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
    ICML 2025 ·
    Dapeng Jiang
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  18. f-PO: Generalizing Preference Optimization with f-divergence Minimization
    AISTATS 2025 ·
    Jiaqi Han
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  19. Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
    NeurIPS 2024 ·
    Syrine Belakaria
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  20. Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
    NeurIPS 2024 ·
    Siyi Gu
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  21. Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
    ICLR 2024 ·
    Dongjun Kim
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  22. Convolutional Differentiable Logic Gate Networks
    NeurIPS 2024 ·
    Felix Petersen
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  23. Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
    ICLR 2024 ·
    Ling Yang
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  24. Denoising Diffusion Bridge Models
    ICLR 2024 ·
    Linqi Zhou
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  25. Diffusion Model Alignment Using Direct Preference Optimization
    CVPR 2024 ·
    Bram Wallace
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  26. DiffusionSat: A Generative Foundation Model for Satellite Imagery
    ICLR 2024 ·
    Samar Khanna
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  27. Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
    ICML 2024 ·
    Aaron Lou
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  28. Disentangling Length from Quality in Direct Preference Optimization
    ACL 2024 ·
    Ryan Park
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  29. DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
    CVPR 2024 ·
    Linqi Zhou
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  30. Equivariant Graph Neural Operator for Modeling 3D Dynamics
    ICML 2024 ·
    Minkai Xu
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  31. Generative Fractional Diffusion Models
    NeurIPS 2024 ·
    Gabriel Nobis
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  32. GeoLLM: Extracting Geospatial Knowledge from Large Language Models
    ICLR 2024 ·
    Rohin Manvi
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  33. Geometric Trajectory Diffusion Models
    NeurIPS 2024 ·
    Jiaqi Han
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  34. HIVE: Harnessing Human Feedback for Instructional Visual Editing
    CVPR 2024 ·
    Shu Zhang
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  35. HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
    AAAI 2024 ·
    Jonathan Xu
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  36. HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
    CVPR 2024 ·
    Jonathan Xu
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  37. Language Model Detectors Are Easily Optimized Against
    ICLR 2024 ·
    Charlotte Nicks
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  38. Large Language Models are Geographically Biased
    ICML 2024 ·
    Rohin Manvi
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  39. MADiff: Offline Multi-agent Learning with Diffusion Models
    NeurIPS 2024 ·
    Zhengbang Zhu
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  40. Manifold Preserving Guided Diffusion
    ICLR 2024 ·
    Yutong He
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  41. Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
    ICML 2024 ·
    Ling Yang
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  42. Mechanistic Design and Scaling of Hybrid Architectures
    ICML 2024 ·
    Michael Poli
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  43. Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
    NeurIPS 2024 ·
    Felix Petersen
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  44. On the Scalability of Diffusion-based Text-to-Image Generation
    CVPR 2024 ·
    Hao Li
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  45. PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
    NeurIPS 2024 ·
    Dongjun Kim
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  46. Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data
    ICML 2024 ·
    Fahim Tajwar
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  47. Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients
    AISTATS 2024 ·
    Chris Cundy
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  48. Segment Any Change
    NeurIPS 2024 ·
    Zhuo Zheng
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  49. Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations
    NeurIPS 2024 ·
    Nikil Roashan Selvam
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  50. SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
    ICLR 2024 ·
    Chris Cundy
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  51. State-Free Inference of State-Space Models: The *Transfer Function* Approach
    ICML 2024 ·
    Rom N. Parnichkun
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  52. TFG: Unified Training-Free Guidance for Diffusion Models
    NeurIPS 2024 ·
    Haotian Ye
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  53. TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
    NeurIPS 2024 ·
    Nemin Wu
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  54. TrAct: Making First-layer Pre-Activations Trainable
    NeurIPS 2024 ·
    Felix Petersen
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  55. Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution
    AAAI 2024 ·
    Tailin Wu
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