Eric Vanden-Eijnden
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
4
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | NETS: A Non-equilibrium Transport Sampler. | Michael Samuel Albergo, Eric Vanden-Eijnden |
| 2025 | UAI | Simulation-Free Differential Dynamics Through Neural Conservation Laws. | Mengjian Hua, Eric Vanden-Eijnden, Ricky T. Q. Chen |
| 2024 | ECCV | SiT: Exploring Flow and Diffusion-Based Generative Models with Scalable Interpolant Transformers. | Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie |
| 2024 | ICLR | Multimarginal Generative Modeling with Stochastic Interpolants. | Michael S. Albergo, Nicholas Matthew Boffi, Michael Lindsey, Eric Vanden-Eijnden |
| 2024 | ICLR | Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity. | Hugo Cui, Florent Krzakala, Eric Vanden-Eijnden, Lenka Zdeborov |
| 2024 | ICML | Stochastic Interpolants with Data-Dependent Couplings. | Michael S. Albergo, Mark Goldstein, Nicholas Matthew Boffi, Rajesh Ranganath, Eric Vanden-Eijnden |
| 2024 | ICML | Probabilistic Forecasting with Stochastic Interpolants and Fllmer Processes. | Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas Matthew Boffi, Eric Vanden-Eijnden |
| 2023 | ICLR | Building Normalizing Flows with Stochastic Interpolants. | Michael S. Albergo, Eric Vanden-Eijnden |
| 2022 | ICLR | On feature learning in neural networks with global convergence guarantees. | Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna |
| 2021 | ICML | On Energy-Based Models with Overparametrized Shallow Neural Networks. | Carles Domingo-Enrich, Alberto Bietti, Eric Vanden-Eijnden, Joan Bruna |
| 2019 | ICML | Neuron birth-death dynamics accelerates gradient descent and converges asymptotically. | Grant M. Rotskoff, Samy Jelassi, Joan Bruna, Eric Vanden-Eijnden |