A Novel Approach to EEG Neurofeedback via Reinforcement Learning. - Aman Bhargava; Kyle O'Shaughnessy; Steve Mann 001 (IEEE SENSORS, 2020)

Sensing of the Self, Society, and the Environment. - Steve Mann 001; Cayden Pierce; Aman Bhargava; Christopher Tong; Khantil Desai; Kyle O'Shaughnessy (IEEE SENSORS, 2020)

Bitcoin Technology and Its Security Challenges: A Research Survey. - Aman Bhargava; Kartik Shankhavaram; Priyanshu Agarwal; Jayaprakash Kar (SoCPaR, 2020)

Gradient-Free Neural Network Training via Synaptic-Level Reinforcement Learning. - Aman Bhargava; Mohammad R. Rezaei; Milad Lankarany (CoRR, 2021)

Deep Learning for Enhanced Scratch Input. - Aman Bhargava; Alice X. Zhou; Adam Carnaffan; Steve Mann 001 (CoRR, 2021)

What's the Magic Word? A Control Theory of LLM Prompting. - Aman Bhargava; Cameron Witkowski; Manav Shah; Matt Thomson 001 (CoRR, 2023)

Disentangling Representations in RNNs through Multi-task Learning. - Pantelis Vafidis; Aman Bhargava; Antonio Rangel (CoRR, 2024)

Prompt Baking. - Aman Bhargava; Cameron Witkowski; Alexander Detkov; Matt Thomson 001 (CoRR, 2024)

Disentangling Representations through Multi-task Learning. - Pantelis Vafidis; Aman Bhargava; Antonio Rangel (ICLR, 2025)