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Ankit Patel

  1. A Probabilistic Theory of Deep Learning
    2015/04/02 by Ankit Patel, Ankit B. Patel, Tan Nguyen +4 · 1 voice · 10 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Neural Networks and Applications #Advanced Image and Video Retrieval Techniques
  2. Navigating protein landscapes with a machine-learned transferable coarse-grained model
    2023/10/27 by Nicholas E. Charron, Felix Musil, Charron, Nicholas E. +40 · 3 voices · 23 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · Mathematics · Physics and Astronomy · #Biological Physics (physics.bio-ph) #Biomolecules (q-bio.BM) #Block Copolymer Self-Assembly #Chemical Physics (physics.chem-ph) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Machine Learning in Materials Science #Protein Structure and Dynamics #physics.bio-ph #physics.chem-ph #q-bio.BM #stat.ML
  3. Pretraining Large Language Models with NVFP4
    2025/09/29 by Felix Abecassis, NVIDIA, Abecassis, Felix +175 · 4 voices · 13 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
  4. Training Neural Networks Without Gradients: A Scalable ADMM Approach
    2016/05/06 by Gavin Taylor, Taylor, Gavin, Ryan Burmeister +9 · 9 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
  5. Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
    2020/10/02 by Weili Nie, Zhiding Yu, Nie, Weili +9 · 6 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Machine Learning and Data Classification
  6. Representing Formal Languages: A Comparison Between Finite Automata and\n Recurrent Neural Networks
    2019/02/26 by Joshua Michalenko, Ameesh Shah, Michalenko, Joshua J. +9 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Formal Languages and Automata Theory (cs.FL) #Machine Learning (cs.LG) #Machine Learning and Algorithms #Natural Language Processing Techniques #Neural Networks and Applications
  7. Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples
    2020/06/19 by Josue Ortega, Yilong Ju, Caro, Josue Ortega +11 · 1 citation
    Computer Science · Engineering · Materials Science · #Adversarial Robustness in Machine Learning #Advancements in Semiconductor Devices and Circuit Design #Machine Learning in Materials Science
  8. Decoding Depression Severity From Intracranial Neural Activity
    2023/02/02 by Jiayang Xiao, Nicole R. Provenza, Joseph Asfouri +22 · 20 citations
    Medicine · Neuroscience · #Neurological disorders and treatments #Functional Brain Connectivity Studies #Neural and Behavioral Psychology Studies
  9. Failure Detection for Surgical Robot Imitation Policies via Flow-Matching World Modeling
    2026/07/29 by Zhefeng Huang, Yilin Cai, Ankit Patel +3
    Computer Science · #cs.RO