5 papers
Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model
Tianqiu Zhang, Muyang Lyu, Xiao Liu +1
Humans abstract experiences into structured representations to facilitate pattern inference and knowledge transfer. While the hippocampal-entorhinal (HPC-MEC) circuit is known to r…
DiLA: Disentangled Latent Action World Models
Tianqiu Zhang, Muyang Lyu, Yufan Zhang +2
Latent Action Models (LAMs) enable the learning of world models from unlabeled video by inferring abstract actions between consecutive frames. However, LAMs face a fundamental trad…
SBoRA: Low-Rank Adaptation with Regional Weight Updates
Lai-Man Po, Yuyang Liu, Haoxuan Wu +5
This paper introduces Standard Basis LoRA (SBoRA), a novel parameter-efficient fine-tuning approach for Large Language Models that builds upon the pioneering works of Low-Rank Adap…
A Differentiable Approach to Multi-scale Brain Modeling
Chaoming Wang, Muyang Lyu, Tianqiu Zhang +2
We present a multi-scale differentiable brain modeling workflow utilizing BrainPy, a unique differentiable brain simulator that combines accurate brain simulation with powerful gra…
A differentiable brain simulator bridging brain simulation and brain-inspired computing
Chaoming Wang, Tianqiu Zhang, Sichao He +3
Brain simulation builds dynamical models to mimic the structure and functions of the brain, while brain-inspired computing (BIC) develops intelligent systems by learning from the s…