Aman Bhargava

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All published works

Action	Title	Year	Authors
+ PDF Chat	Gradient-Free Neural Network Training via Synaptic-Level Reinforcement Learning	2022	Aman Bhargava Mohammad R. Rezaei Milad Lankarany
+	Deep Learning for Enhanced Scratch Input.	2021	Aman Bhargava Alice X. Zhou Adam Carnaffan Steve Mann
+	Deep Learning for Enhanced Scratch Input	2021	Aman Bhargava Alice X. Zhou Adam Carnaffan Stephen Mann

Common Coauthors

Coauthor	Papers Together
Adam Carnaffan	2
Alice X. Zhou	2
Milad Lankarany	1
Stephen Mann	1
Steve Mann	1
Mohammad R. Rezaei	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Reinforcement Learning applied to Single Neuron	2015	Zhipeng Wang Ming Bo Cai	1
+	A Critical Review of Recurrent Neural Networks for Sequence Learning	2015	Zachary C. Lipton John Berkowitz Charles Elkan	1
+ PDF Chat	Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex	2016	Jeff Hawkins Subutai Ahmad	1
+ PDF Chat	CNN architectures for large-scale audio classification	2017	Shawn Hershey Sourish Chaudhuri Daniel P. W. Ellis Jort F. Gemmeke Aren Jansen Robert C. Moore Manoj Plakal Devin Platt Rif A. Saurous Bryan Seybold	1
+	The Insecurity of Home Digital Voice Assistants -- Amazon Alexa as a Case Study	2017	Xinyu Lei Guan-Hua Tu Alex X. Liu Chi-Yu Li Tian Xie	1
+	Learning to solve the credit assignment problem	2019	Benjamin Lansdell Prashanth Ravi Prakash Konrad P. Körding	1
+	Giving Up Control: Neurons as Reinforcement Learning Agents	2020	Jordan Ott	1
+	Rethinking CNN Models for Audio Classification	2020	Kamalesh Palanisamy Dipika Singhania Angela Yao	1
+ PDF Chat	C <scp>ir</scp> CNN	2017	Caiwen Ding Siyu Liao Yanzhi Wang Zhe Li Ning Liu Youwei Zhuo Chao Wang Xuehai Qian Yu Bai Geng Yuan	1
+	Predictive coding in balanced neural networks with noise, chaos and delays	2020	Jonathan Kadmon Jonathan Timcheck Surya Ganguli	1