Abhronil Sengupta
3 papers · Latest:
Neural & Evolutionary Computing
Neuromorphic Reinforcement Learning for Quadruped Locomotion Control on Uneven Terrain
This paper introduces a neuromorphic reinforcement learning framework using equilibrium propagation for quadruped locomotion on uneven terrain, enabling on-robot adaptation.
2605.09595
Computational NeuroscienceNeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence
This paper outlines how NeuroAI, by integrating neuroscience principles, can overcome current AI limitations in interaction, learning, and efficiency.
2604.18637
Trilinear Compute-in-Memory Architecture for Energy-Efficient Transformer Acceleration
TrilinearCIM is a novel DG-FeFET architecture that accelerates Transformer self-attention in-memory without costly NVM reprogramming, improving energy efficiency and latency.
2604.07628
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