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Pratik Chaudhari

  1. Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
    2016/11/06 by Pratik Chaudhari, Chaudhari, Pratik, Anna Choromanska +15 · 47 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications
  2. Stochastic gradient descent performs variational inference, converges to\n limit cycles for deep networks
    2017/10/30 by Pratik Chaudhari, Stefano Soatto, Chaudhari, Pratik +1 · 8 citations
    Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Statistical Mechanics (cond-mat.stat-mech) #Stochastic Gradient Optimization Techniques
  3. Rethinking the Hyperparameters for Fine-tuning
    2020/02/19 by Hao Li, Li, Hao, Pratik Chaudhari +11 · 9 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Multimodal Machine Learning Applications
  4. Deep Relaxation: partial differential equations for optimizing deep\n neural networks
    2017/04/17 by Pratik Chaudhari, Adam M. Oberman, Chaudhari, Pratik +7 · 4 citations
    Computer Science · Physics and Astronomy · #Analysis of PDEs (math.AP) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  5. Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity
    2022/02/25 by Shiyun Xu, Xu, Shiyun, Zhiqi Bu +5 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  6. SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos
    2023/11/17 by Rohit Jena, Ganesh Iyer, Jena, Rohit +9 · 6 citations
    Computer Science · Engineering · #Human Pose and Action Recognition #3D Shape Modeling and Analysis #Human Motion and Animation
  7. SlideSLAM: Sparse, Lightweight, Decentralized Metric-Semantic SLAM for Multi-Robot Navigation
    2024/06/25 by Xu Liu, Jiuzhou Lei, Liu, Xu +13 · 5 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Robotic Path Planning Algorithms #Robotics (cs.RO) #Robotics and Sensor-Based Localization
  8. Taming AI Bots: Controllability of Neural States in Large Language Models
    2023/05/29 by Stefano Soatto, Soatto, Stefano, Paulo Tabuada +5 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Topic Modeling #Explainable Artificial Intelligence (XAI)
  9. Incremental Sampling-based Algorithm for Minimum-violation Motion\n Planning
    2013/05/06 by Luis I. Reyes Castro, Pratik Chaudhari, Castro, Luis I. Reyes +9 · 1 citation
    Computer Science · Decision Sciences · #Formal Methods in Verification #Simulation Techniques and Applications #Model-Driven Software Engineering Techniques
  10. A Free-Energy Principle for Representation Learning
    2020/02/27 by Yansong Gao, Pratik Chaudhari, Gao, Yansong +1 · 1 citation
    Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Neural Networks and Applications
  11. ATLAS Navigator: Active Task-driven LAnguage-embedded Gaussian Splatting
    2025/02/27 by Dexter Ong, Yuezhan Tao, Ong, Dexter +9 · 5 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Robotic Path Planning Algorithms #Robotics (cs.RO) #Robotics and Sensor-Based Localization
  12. Prospective Learning: Principled Extrapolation to the Future
    2022/01/19 by Ashwin De Silva, Rahul Ramesh, De Silva, Ashwin +81 · 2 voices
    #cs.LG #cs.AI
  13. Deformable Linear Object Prediction Using Locally Linear Latent Dynamics
    2021/03/26 by Wenbo Zhang, Zhang, Wenbo, Karl Schmeckpeper +5 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Motion and Animation #Human Pose and Action Recognition #Multimodal Machine Learning Applications
  14. Active Perception using Neural Radiance Fields
    2023/10/15 by Siming He, He, Siming, Christopher D. Hsu +7 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Neural Networks and Applications #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
  15. The Value of Out-of-Distribution Data
    2022/08/23 by Ashwin De Silva, Rahul Ramesh, Carey E. Priebe +2 · 1 voice
    Computer Science · Mathematics · #cs.LG #cs.AI #cs.CV #stat.ML
  16. Prospective Learning: Learning for a Dynamic Future
    2024/10/31 by Ashwin De Silva, R. Ramesh, De Silva, Ashwin +9 · 2 citations
    Social Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Higher Education Learning Practices #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Mesh Strikes Back: Fast and Efficient Human Reconstruction from RGB videos
    2023/03/15 by Rohit Jena, Pratik Chaudhari, Jena, Rohit +9 · 1 citation
    Computer Science · Engineering · #Advanced Vision and Imaging #Human Pose and Action Recognition #3D Shape Modeling and Analysis
  18. Analog Content-Addressable Memory from Complementary FeFETs
    2023/09/17 by Xiwen Liu, Keshava Katti, Liu, Xiwen +15 · 1 citation
    Engineering · Computer Science · #Ferroelectric and Negative Capacitance Devices #Advanced Memory and Neural Computing #Machine Learning and ELM
  19. Many Perception Tasks are Highly Redundant Functions of their Input Data
    2024/07/18 by Rahul Ramesh, Ramesh, Rahul, Anthony Bisulco +11 · 2 citations
    Computer Science · #Neural Networks and Applications
  20. Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI
    2024/05/22 by Tian Yu Liu, Stefano Soatto, Liu, Tian Yu +7 · 1 citation
    Computer Science · #Topic Modeling
  21. Deep Reference Priors: What is the best way to pretrain a model?
    2022/02/01 by Yansong Gao, R. Ramesh, Gao, Yansong +3 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification