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Julius Berner

  1. The Modern Mathematics of Deep Learning
    2021/05/09 by Julius Berner, Philipp Grohs, Gitta Kutyniok +1 · 6 voices · 1 citation
    Computer Science · Physics and Astronomy · Engineering · #Neural Networks and Applications #Model Reduction and Neural Networks #Sparse and Compressive Sensing Techniques
  2. Large Language Models for Mathematicians
    2023/12/07 by Simon Frieder, Julius Berner, Philipp Petersen +1 · 7 voices · 1 citation
    #cs.CL #cs.AI #cs.LG #math.HO
  3. DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
    2024/03/06 by Zhongkai Hao, Hao, Zhongkai, Chang Su +15 · 26 citations
    Computer Science · Engineering · #Advanced Sensor and Control Systems #FOS: Computer and information sciences #FOS: Mathematics #Flow Measurement and Analysis #Machine Learning (cs.LG) #Neural Networks and Applications #Numerical Analysis (math.NA)
  4. Neural Operators with Localized Integral and Differential Kernels
    2024/02/26 by Miguel Liu-Schiaffini, Julius Berner, Liu-Schiaffini, Miguel +9 · 17 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural Networks and Applications #Numerical Analysis (math.NA)
  5. Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
    2024/03/19 by Md Ashiqur Rahman, Rahman, Md Ashiqur, Robert Joseph George +21 · 11 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
  6. A Library for Learning Neural Operators
    2024/12/13 by Jean Kossaifi, Kossaifi, Jean, Nikola Kovachki +17 · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  7. Underdamped Diffusion Bridges with Applications to Sampling
    2025/03/02 by Denis Blessing, Julius Berner, Blessing, Denis +5 · 12 citations
    Engineering · #Structural Health Monitoring Techniques #Infrastructure Maintenance and Monitoring #Ultrasonics and Acoustic Wave Propagation
  8. Sequential Controlled Langevin Diffusions
    2024/12/10 by Junhua Chen, Lorenz Richter, Chen, Junhua +9 · 9 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
  9. From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training
    2025/01/10 by Julius Berner, Berner, Julius, Lorenz Richter +7 · 5 citations
    Computer Science · Mathematics · #Advanced Mathematical Modeling in Engineering #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Biology Tumor Growth
  10. Coarse Graining with Neural Operators for Simulating Chaotic Systems
    2024/08/09 by Chuwei Wang, Wang, Chuwei, Boris Bonev +13 · 3 citations
    #cs.LG
  11. There is No VAE: End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-training
    2025/10/14 by Jiachen Lei, K. Y. Liu, Lei, Jiachen +11 · 6 citations
    Computer Science · #Medical Image Segmentation Techniques #Computer Graphics and Visualization Techniques #Image Processing and 3D Reconstruction
  12. Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference
    2025/08/17 by Denis Blessing, Julius Berner, Blessing, Denis +11 · 8 citations
    Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
  13. Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning
    2024/12/19 by Simon Frieder, Frieder, Simon, Jonas Bayer +27 · 2 citations
    Computer Science · #Numerical Methods and Algorithms #Mathematics, Computing, and Information Processing #Polynomial and algebraic computation
  14. Parallel Decoding Distillation for Fast Image and Video Generation
    2026/07/28 by Neta Shaul, Chao Liu, Arash Vahdat +1
    #cs.CV #cs.LG