Devdhar Patel - RankMe

19 papers A* 3A 2B 2Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Optimizing Neural Network Representations of Boolean Networks. ICLR Joshua Russell, Ignacio Gavier, Devdhar Patel, Edward A. Rietman, Hava T. Siegelmann
2025	A*	`conf`	Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control. ICLR Devdhar Patel, Hava T. Siegelmann
2024	J	`jnl`	Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures. Neural Comput. Devdhar Patel, Terrence J. Sejnowski, Hava T. Siegelmann
2024	J	`jnl`	Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control. CoRR Devdhar Patel, Hava T. Siegelmann
2023	A	`conf`	Neural Network Compiler for Parallel High-Throughput Simulation of Digital Circuits. IPDPS Ignacio Gavier, Joshua Russell, Devdhar Patel, Edward A. Rietman, Hava T. Siegelmann
2023	A	`conf`	Temporally Layered Architecture for Adaptive, Distributed and Continuous Control. AAMAS Devdhar Patel, Joshua Russell, Francesca Walsh, Tauhidur Rahman, Terrence J. Sejnowski, Hava T. Siegelmann
2023	J	`jnl`	Temporally Layered Architecture for Adaptive, Distributed and Continuous Control. CoRR Devdhar Patel, Joshua Russell, Francesca Walsh, Tauhidur Rahman, Terrence J. Sejnowski, Hava T. Siegelmann
2023	J	`jnl`	Temporally Layered Architecture for Efficient Continuous Control. CoRR Devdhar Patel, Terrence J. Sejnowski, Hava T. Siegelmann
2022	B	`conf`	Automatic Transpiler that Efficiently Converts Digital Circuits to a Neural Network Representation. IJCNN Devdhar Patel, Ignacio Gavier, Joshua Russell, Andrew Malinsky, Edward A. Rietman, Hava T. Siegelmann
2022	J	`jnl`	Optimization methods for improved efficiency and performance of Deep Q-Networks upon conversion to neuromorphic population platforms. Knowl. Based Syst. Weihao Tan, Robert Kozma, Devdhar Patel
2022	J	`jnl`	QuickNets: Saving Training and Preventing Overconfidence in Early-Exit Neural Architectures. CoRR Devdhar Patel, Hava T. Siegelmann
2021	A*	`conf`	Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. AAAI Weihao Tan, Devdhar Patel, Robert Kozma
2020	J	`jnl`	Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. CoRR Weihao Tan, Devdhar Patel, Robert Kozma
2020	B	`conf`	Unsupervised Features Extracted using Winner-Take-All Mechanism Lead to Robust Image Classification. IJCNN Devdhar Patel, Robert Kozma
2019	J	`jnl`	Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games. CoRR Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma
2019	J	`jnl`	Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game. Neural Networks Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma
2019	J	`jnl`	Locally Connected Spiking Neural Networks for Unsupervised Feature Learning. CoRR Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma
2019	J	`jnl`	Locally connected spiking neural networks for unsupervised feature learning. Neural Networks Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma
2018	J	`jnl`	BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python. Frontiers Neuroinformatics Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Devdhar Patel, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma