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2020 – today
- 2024
[i5]Pantelis Vafidis, Aman Bhargava, Antonio Rangel:
Disentangling Representations in RNNs through Multi-task Learning. CoRR abs/2407.11249 (2024)- [i4]Aman Bhargava, Cameron Witkowski, Alexander Detkov, Matt Thomson:
Prompt Baking. CoRR abs/2409.13697 (2024) - 2023
- [i3]Aman Bhargava, Cameron Witkowski, Manav Shah, Matt Thomson:
What's the Magic Word? A Control Theory of LLM Prompting. CoRR abs/2310.04444 (2023) - 2021
- [i2]Aman Bhargava, Mohammad R. Rezaei, Milad Lankarany:
Gradient-Free Neural Network Training via Synaptic-Level Reinforcement Learning. CoRR abs/2105.14383 (2021) - [i1]Aman Bhargava, Alice X. Zhou, Adam Carnaffan, Steve Mann:
Deep Learning for Enhanced Scratch Input. CoRR abs/2111.15053 (2021) - 2020
- [c3]Aman Bhargava
, Kyle O'Shaughnessy, Steve Mann:
A Novel Approach to EEG Neurofeedback via Reinforcement Learning. IEEE SENSORS 2020: 1-4 - [c2]Steve Mann, Cayden Pierce, Aman Bhargava, Christopher Tong, Khantil Desai, Kyle O'Shaughnessy:
Sensing of the Self, Society, and the Environment. IEEE SENSORS 2020: 1-4 - [c1]Aman Bhargava, Kartik Shankhavaram, Priyanshu Agarwal, Jayaprakash Kar:
Bitcoin Technology and Its Security Challenges: A Research Survey. SoCPaR 2020: 706-715
Coauthor Index
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