Julius Berner
15 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Achievements
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Venues
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Research topics
Deep Learning
(14)
Machine Learning
(14)
Architectures
(6)
Models
(6)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Application Areas
(3)
Core AI
(3)
Learning Types Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Core Methods
(2)
Optimization
(2)
Natural Language Processing
(1)
Keywords
diffusion model
(4)
deep learning
(2)
sampling method
(2)
posterior sampling
(2)
non-convex optimization
(1)
variational inference
(1)
adversarial robustness
(1)
statistical learning theory
(1)
few-shot learning
(1)
video generation
(1)
mathematical reasoning
(1)
knowledge distillation
(1)
sample complexity
(1)
bayesian inference
(1)
pretraining
(1)
image restoration
(1)
optimization
(1)
sequential monte carlo
(1)
generalization error
(1)
neural network training
(1)
Papers
Transition Matching Distillation for Fast Video Generation
CVPR 2026
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
CVPR 2025
Robust Representation Consistency Model via Contrastive Denoising
ICLR 2025
Sequential Controlled Langevin Diffusions
ICLR 2025
Underdamped Diffusion Bridges with Applications to Sampling
ICLR 2025
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
ICML 2024
Improved sampling via learned diffusions
ICLR 2024
Neural Operators with Localized Integral and Differential Kernels
ICML 2024
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
NeurIPS 2024
Solving Poisson Equations using Neural Walk-on-Spheres
ICML 2024
Learning ReLU networks to high uniform accuracy is intractable
ICLR 2023
Mathematical Capabilities of ChatGPT
NeurIPS 2023
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning
ICML 2022
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning
NeurIPS 2020
How degenerate is the parametrization of neural networks with the ReLU activation function?
NeurIPS 2019