Devdhar Patel

According to our database, Devdhar Patel authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures.

Devdhar Patel, Terrence Sejnowski, Hava T. Siegelmann

Neural Comput., 2024

Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control.

Devdhar Patel, Hava T. Siegelmann

CoRR, 2024

2023

Temporally Layered Architecture for Efficient Continuous Control.

Devdhar Patel, Terrence J. Sejnowski, Hava T. Siegelmann

CoRR, 2023

Neural Network Compiler for Parallel High-Throughput Simulation of Digital Circuits.

Ignacio Gavier, Joshua Russell, Devdhar Patel, Edward A. Rietman, Hava T. Siegelmann

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Temporally Layered Architecture for Adaptive, Distributed and Continuous Control.

Devdhar Patel, Joshua Russell, Francesca Walsh, Tauhidur Rahman, Terrence J. Sejnowski, Hava T. Siegelmann

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Optimization methods for improved efficiency and performance of Deep Q-Networks upon conversion to neuromorphic population platforms.

Weihao Tan, Robert Kozma, Devdhar Patel

Knowl. Based Syst., 2022

QuickNets: Saving Training and Preventing Overconfidence in Early-Exit Neural Architectures.

Devdhar Patel, Hava T. Siegelmann

CoRR, 2022

Automatic Transpiler that Efficiently Converts Digital Circuits to a Neural Network Representation.

Devdhar Patel, Ignacio Gavier, Joshua Russell, Andrew Malinsky, Edward A. Rietman, Hava T. Siegelmann

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks.

Weihao Tan, Devdhar Patel, Robert Kozma

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Unsupervised Features Extracted using Winner-Take-All Mechanism Lead to Robust Image Classification.

Devdhar Patel, Robert Kozma

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Locally connected spiking neural networks for unsupervised feature learning.

Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma

Neural Networks, 2019

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game.

Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma

Neural Networks, 2019

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games.

Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma

CoRR, 2019

2018

BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python.

Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Devdhar Patel, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma

Frontiers Neuroinformatics, 2018