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ORCIDDevdhar Patel
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2020 – today
- 2024
[j5]Devdhar Patel, Terrence Sejnowski, Hava T. Siegelmann:
Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures. Neural Comput. 36(12): 2734-2763 (2024)- [i7]Devdhar Patel, Hava T. Siegelmann:
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control. CoRR abs/2410.08979 (2024) - 2023
- [c5]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: 2830-2832 - [c4]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: 613-623 - [i6]Devdhar Patel, Joshua Russell, Francesca Walsh, Tauhidur Rahman, Terrence J. Sejnowski, Hava T. Siegelmann:
Temporally Layered Architecture for Adaptive, Distributed and Continuous Control. CoRR abs/2301.00723 (2023) - [i5]Devdhar Patel, Terrence J. Sejnowski, Hava T. Siegelmann:
Temporally Layered Architecture for Efficient Continuous Control. CoRR abs/2305.18701 (2023) - 2022
- [j4]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: 108257 (2022) - [c3]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: 1-8 - [i4]Devdhar Patel, Hava T. Siegelmann:
QuickNets: Saving Training and Preventing Overconfidence in Early-Exit Neural Architectures. CoRR abs/2212.12866 (2022) - 2021
- [c2]Weihao Tan, Devdhar Patel, Robert Kozma:
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. AAAI 2021: 9816-9824 - 2020
- [c1]Devdhar Patel, Robert Kozma:
Unsupervised Features Extracted using Winner-Take-All Mechanism Lead to Robust Image Classification. IJCNN 2020: 1-7 - [i3]Weihao Tan, Devdhar Patel, Robert Kozma:
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. CoRR abs/2009.14456 (2020)
2010 – 2019
- 2019
- [j3]Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma:
Locally connected spiking neural networks for unsupervised feature learning. Neural Networks 119: 332-340 (2019) - [j2]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: 108-115 (2019) - [i2]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 abs/1903.11012 (2019) - [i1]Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma:
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning. CoRR abs/1904.06269 (2019) - 2018
- [j1]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: 89 (2018)
Coauthor Index
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