Tomaso A Poggio
8 papers · 2015–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird
❓
The Questioner
(2)
🗃️
Keyword Collector
(59)
📈
Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(7)
Architectures
(6)
Optimization & Theory · Machine Learning
(6)
Core Methods
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Core AI
(2)
Learning Types
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Analysis
(1)
Application Areas
(1)
Cognitive Science
(1)
Keywords
representation learning
(2)
visual perception
(1)
object recognition
(1)
feature learning
(1)
supervised learning
(1)
signal classification
(1)
learning theory
(1)
visual cortex
(1)
multi-label learning
(1)
optimal transport
(1)
statistical learning
(1)
sample complexity
(1)
neural network optimization
(1)
kernel approximation
(1)
optimization
(1)
reproducing kernel hilbert space
(1)
learnability
(1)
system identification
(1)
gaussian complexity
(1)
wasserstein distance
(1)
Papers
Formation of Representations in Neural Networks
ICLR 2025
On Generalization Bounds for Neural Networks with Low Rank Layers
ALT 2025
Position: A Theory of Deep Learning Must Include Compositional Sparsity
ICML 2025
Feature learning in deep classifiers through Intermediate Neural Collapse
ICML 2023
System Identification of Neural Systems: If We Got It Right, Would We Know?
ICML 2023
Do Deep Neural Networks Suffer from Crowding?
NeurIPS 2017
Learning with a Wasserstein Loss
NeurIPS 2015
Learning with Group Invariant Features: A Kernel Perspective.
NeurIPS 2015