Julius Berner
14 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (14) 🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🌈 Renaissance Researcher (6)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
👑
Triple Crown
⚡
Prolific Year
(5)
📈
Trend Setter
💎
Century Club
(14)
❓
The Questioner
Conferences
ICLR (5)
ICML (4)
NIPS (4)
CVPR (1)
Top co-authors
Keywords
deep learning
(2)
neural network training
(1)
few-shot learning
(1)
non-convex optimization
(1)
image restoration
(1)
bayesian inference
(1)
mathematical reasoning
(1)
posterior sampling
(1)
curse of dimensionality
(1)
natural language
(1)
diffusion model
(1)
inverse problem
(1)
deep neural network
(1)
partial differential equation
(1)
relu activation
(1)
language model
(1)
stochastic differential equation
(1)
gradient estimator
(1)
self-supervised pretraining
(1)
high-dimensional pde
(1)
Papers
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
CVPR 2025
Underdamped Diffusion Bridges with Applications to Sampling
ICLR 2025
Sequential Controlled Langevin Diffusions
ICLR 2025
Robust Representation Consistency Model via Contrastive Denoising
ICLR 2025
Solving Poisson Equations using Neural Walk-on-Spheres
ICML 2024
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
NIPS 2024
Improved sampling via learned diffusions
ICLR 2024
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
ICML 2024
Neural Operators with Localized Integral and Differential Kernels
ICML 2024
Learning ReLU networks to high uniform accuracy is intractable
ICLR 2023
Mathematical Capabilities of ChatGPT
NIPS 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
NIPS 2020
How degenerate is the parametrization of neural networks with the ReLU activation function?
NIPS 2019