影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
62.52/100
前 4.1%
全站排名 #2,662
发表论文12 篇
平均评分
年均产出4.0 篇/年
Saibal Mukhopadhyay
研究方向
Deep Neural Network · Spiking Neural Network · Event Camera · Hardware Design · Computational Complexity
22
AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space Models
ICLR 2026Poster
三作6
RoCCo: Rotation-Augmented Clustering-based Low-rank Approximation for Compressing Large Language Models
ICLR 2026Withdrawn
三作23
FSSM: Frequency-Selective State Space Models for Spectral Representation Learning
ICLR 2026Rejected
三作26
Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint
ICLR 2025Poster
通讯18
FLAME: Fast Long-context Adaptive Memory for Event-based Vision
NeurIPS 2025Poster
二作10
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks
ICML 2025Poster
三作28
SPLR: A Spiking Neural Network for Long-Range Temporal Dependency Learning
ICLR 2025Rejected
二作