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
18.13/100
前 46.1%
全站排名 #29,700
发表论文9 篇
平均评分
年均产出4.5 篇/年
Tomaso Poggio
研究方向
Theory: approximation · generalization · deep networks · Applications: vision · learning
22
A universal compression theory for lottery ticket hypothesis and neural scaling laws
ICLR 2026Poster
三作21
Ubiquity of Hebbian Dynamics in Complex Learning Rules
ICLR 2026Rejected
二作23
Topological Invariance and Breakdown in Learning
ICLR 2026Rejected
二作17
On Biologically Plausible Learning in Continuous Time
ICLR 2026Rejected
三作13
Unraveling Syntax: How Language Models Learn Context-Free Grammars
ICLR 2026Rejected
三作5
LLM-ERM: Sample-Efficient Program Learning via LLM-Guided Search
ICLR 2026Withdrawn
三作-1
Investigating Design Choices for Recurrent Reasoning Models on 2D Tasks
ICLR 2026Withdrawn
三作-1
Learning Multi-Index Models with Hyper-Kernel Ridge Regression
ICLR 2026Desk Rejected