Devdhar Patel

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Layered Architecture

Optimization Methods

Reinforcement Learning

Top Venues

Neural Networks

Frontiers Neuroinformatics

Publications

Devdhar Patel, Joshua Russell, Francesca Walsh, Tauhidur Rahman, Terrence J. Sejnowski, Hava T. Siegelmann
Temporally Layered Architecture for Adaptive, Distributed and Continuous Control. AAMAS (2023)
Devdhar Patel, Terrence J. Sejnowski, Hava T. Siegelmann
Temporally Layered Architecture for Efficient Continuous Control. CoRR (2023)
Ignacio Gavier, Joshua Russell, Devdhar Patel, Edward A. Rietman, Hava T. Siegelmann
Neural Network Compiler for Parallel High-Throughput Simulation of Digital Circuits. IPDPS (2023)
Devdhar Patel, Joshua Russell, Francesca Walsh, Tauhidur Rahman, Terrance J. Sejnowski, Hava T. Siegelmann
Temporally Layered Architecture for Adaptive, Distributed and Continuous Control. CoRR (2023)
Devdhar Patel, Ignacio Gavier, Joshua Russell, Andrew Malinsky, Edward A. Rietman, Hava T. Siegelmann
Automatic Transpiler that Efficiently Converts Digital Circuits to a Neural Network Representation. IJCNN (2022)
Weihao Tan, Robert Kozma, Devdhar Patel
Optimization methods for improved efficiency and performance of Deep Q-Networks upon conversion to neuromorphic population platforms. Knowl. Based Syst. 241 (2022)
Devdhar Patel, Hava T. Siegelmann
QuickNets: Saving Training and Preventing Overconfidence in Early-Exit Neural Architectures. CoRR (2022)
Weihao Tan, Devdhar Patel, Robert Kozma
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. AAAI (2021)
Devdhar Patel, Robert Kozma
Unsupervised Features Extracted using Winner-Take-All Mechanism Lead to Robust Image Classification. IJCNN (2020)
Weihao Tan, Devdhar Patel, Robert Kozma
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. CoRR (2020)
Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning. CoRR (2019)
Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game. Neural Networks 120 (2019)
Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games. CoRR (2019)
Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma
Locally connected spiking neural networks for unsupervised feature learning. Neural Networks 119 (2019)
Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Devdhar Patel, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python. Frontiers Neuroinformatics 12 (2018)