Pratik Chaudhari
California University of Pennsylvania(US)
Publications by Year
Research Areas
Neural Networks and Applications, Domain Adaptation and Few-Shot Learning, Robotic Path Planning Algorithms, Reinforcement Learning in Robotics, Model Reduction and Neural Networks
Most-Cited Works
- → Entropy-SGD: biasing gradient descent into wide valleys*(2019)285 cited
- → Entropy-SGD: Biasing Gradient Descent Into Wide Valleys(2016)114 cited
- → Bias in machine learning models can be significantly mitigated by careful training: Evidence from neuroimaging studies(2023)72 cited
- → Incremental sampling-based algorithm for minimum-violation motion planning(2013)69 cited
- → Rethinking the Hyperparameters for Fine-tuning(2020)62 cited
- → Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation(2021)58 cited
- → Evaluation of Machine Learning Models for Classifying Upper Extremity Exercises Using Inertial Measurement Unit-Based Kinematic Data(2020)38 cited
- → Stochastic Gradient Descent Performs Variational Inference, Converges to Limit Cycles for Deep Networks(2018)35 cited
- → Scalable Reinforcement Learning Policies for Multi-Agent Control(2021)26 cited
- → Game theoretic controller synthesis for multi-robot motion planning Part I: Trajectory based algorithms(2014)25 cited