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Artificial Intelligence Computing Leadership from NVIDIA
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Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
AI Playground
New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Careers
Academic Collaborations
Government Collaborations
Graduate Fellowship
Internships
Research Openings
Research Scientists
Meet the Team
Licensing
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People
Weili Nie
Research Area(s)
Generative AI
Main Field of Interest
Artificial Intelligence and Machine Learning
Google Scholar
https://scholar.google.com/citations?user=zW7BH7oAAAAJ&hl=en&oi=ao
Publications
2025
Truncated Consistency Models
Sangyun Lee,
Yilun Xu
,
Tomas Geffner
, Giulia Fanti,
Karsten Kreis
,
Arash Vahdat
,
Weili Nie
International Conference on Learning Representations (ICLR) 2025
Energy-Based Diffusion Language Models for Text Generation
Minkai Xu,
Tomas Geffner
,
Karsten Kreis
,
Weili Nie
,
Yilun Xu
, Jure Leskovec, Stefano Ermon,
Arash Vahdat
International Conference on Learning Representations (ICLR) 2025
2024
Molecule Generation with Fragment Retrieval Augmentation
Seul Lee,
Karsten Kreis
, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal,
Arash Vahdat
,
Weili Nie
Neural Information Processing Systems (NeurIPS) 2024
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
Siyi Gu, Minkai Xu, Alexander Powers,
Weili Nie
,
Tomas Geffner
,
Karsten Kreis
, Jure Leskovec,
Arash Vahdat
, Stefano Ermon
Neural Information Processing Systems (NeurIPS) 2024
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
Giannis Daras,
Weili Nie
,
Karsten Kreis
, Alexandros G. Dimakis,
Morteza Mardani
,
Nikola Kovachki
,
Arash Vahdat
Neural Information Processing Systems (NeurIPS) 2024
2022
Diffusion Models for Adversarial Purification
Weili Nie
, Brandon Guo, Yujia Huang,
Chaowei Xiao
,
Arash Vahdat
, Anima Anandkumar
International Conference on Machine Learning (ICML), 2022
2021
Controllable and Compositional Generation with Latent-Space Energy-Based Models
Weili Nie
,
Arash Vahdat
, Anima Anandkumar
Neural Information Processing Systems (NeurIPS) 2021