Scholar
Julius Berner
Google Scholar ID: 73-D2jgAAAAJ
NVIDIA
Deep Learning
Applied Mathematics
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Citations
2,202
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22
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20
Co-authors
33
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mail@jberner.info
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Publications
25 items
Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling
2026
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0
Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model
2026
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0
Towards accurate extreme event likelihoods from diffusion model climate emulators
2026
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0
Variational Flow Maps: Make Some Noise for One-Step Conditional Generation
2026
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0
Operator Learning Using Weak Supervision from Walk-on-Spheres
2026
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0
Bridge Matching Sampler: Scalable Sampling via Generalized Fixed-Point Diffusion Matching
2026
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Mode Seeking meets Mean Seeking for Fast Long Video Generation
2026
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Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data
2026
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Resume (English only)
Co-authors
33 total
Anima Anandkumar
California Institute of Technology and NVIDIA
philipp grohs
University of Vienna
Philipp Petersen
University of Vienna
Lorenz Richter
dida, Zuse Institute Berlin
Thomas Lukasiewicz
Vienna University of Technology, Austria; University of Oxford, UK
Kamyar Azizzadenesheli
Nvidia
Gitta Kutyniok
Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence, LMU Munich
Boris Bonev
NVIDIA Research