Projects

Funded Proposals

• Theoretical and algorithmic foundations of in-context learning using properly trained transformer models
  RPI-IBM AI Research Collaboration Program, 2023-2024.

• Large-scale foundation acoustic modeling for automatic speech recognition
  RPI-IBM AI Research Collaboration Program, 2022-2024.

• Adaptive, collaborative, and accelerated optimization for machine learning
  MIT-IBM Watson AI Lab, 2022-2023.

• Accelerated and compressed distributed stochastic optimization for deep learning
  RPI-IBM AI Research Collaboration Program, 2021-2022.

• Provably efficient reinforcement learning via neuro-symbolic representations
  RPI-IBM AI Research Collaboration Program, 2021-2023.

• Symbiotic foundations for AI and network research
  NSF AI Institute for Future Edge Networks and Distributed Intelligence, 2021-2026.