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Julius Berner

ICML 2026×5CVPR 2026多模态理论与学习动力学效率与系统强化学习与后训练

新星分贡献者

72

一作贡献0

核心/参与48

方向广度11

合作网络12

0 一作 · 6 篇 · ICML 2026 / CVPR 2026

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2026 顶会论文

6

作者位次 #2/6ICML 2026Spotlight

Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model

Xinyin Ma · Julius Berner · Chao Liu · Arash Vahdat · Weili Nie · Xinchao Wang

多模态OpenReview

作者位次 #3/5ICML 2026Poster· Probabilistic Methods / Monte Carlo and Sampling Methods

Bridge Matching Sampler: Scalable Sampling via Generalized Fixed-Point Diffusion Matching

Denis Blessing · Lorenz Richter · Julius Berner · Egor Malitskiy · Gerhard Neumann

理论与学习动力学OpenReview

作者位次 #7/7ICML 2026Poster· Deep Learning / Generative Models and Autoencoders

Variational Flow Maps: Make Some Noise for One-Step Conditional Generation

Abbas Mammadov · So Takao · Bohan Chen · Ricardo Baptista · Morteza Mardani · Yee-Whye Teh · Julius Berner

作者位次 #4/11ICML 2026Poster

Mode Seeking meets Mean Seeking for Fast Long Video Generation

Shengqu Cai · Weili Nie · Chao Liu · Julius Berner · Lvmin Zhang · Nanye Ma · Hansheng Chen · Maneesh Agrawala · Leonidas Guibas · Gordon Wetzstein · Arash Vahdat

多模态OpenReview

作者位次 #2/4ICML 2026Poster· Probabilistic Methods / Monte Carlo and Sampling Methods

Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling

Robert Gruhlke · Julius Berner · David Sommer · Lorenz Richter

效率与系统OpenReview

作者位次 #2/6CVPR 2026Poster· Computer Vision & Pattern Recognition

Transition Matching Distillation for Fast Video Generation

Weili Nie · Julius Berner · Nanye Ma · Chao Liu · Saining Xie · Arash Vahdat

多模态强化学习与后训练OpenReview 项目页

常见合作者

CLChao Liu×3 AVArash Vahdat×2 WNWeili Nie×2 LRLorenz Richter×2 XMXinyin Ma XWXinchao Wang DBDenis Blessing EMEgor Malitskiy GNGerhard Neumann AMAbbas Mammadov STSo Takao BCBohan Chen