Tomaso Poggio
15 papers · 2003–2024 · 5 venues · across top CS/AI venues
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Achievements
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(5)
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(4)
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Renaissance Researcher
(5)
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(109)
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Research topics
Machine Learning
(12)
Core Methods
(8)
Optimization & Theory
(7)
Artificial Intelligence
(6)
Deep Learning
(6)
Architectures
(5)
Computer Vision
(4)
Analysis
(4)
Core AI
(4)
Learning Types Β· Machine Learning
(4)
Interdisciplinary
(3)
Cognitive Science
(3)
Mathematics & Optimization
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Keywords
ventral stream
(4)
object recognition
(2)
hierarchical model
(2)
representation learning
(2)
visual cortex
(2)
unsupervised learning
(2)
convolutional neural network
(2)
feature learning
(2)
face recognition
(2)
image classification
(1)
approximate inference
(1)
temporal modeling
(1)
manifold learning
(1)
variational inference
(1)
sequence modeling
(1)
action recognition
(1)
k-means clustering
(1)
adversarial robustness
(1)
computer vision
(1)
convex optimization
(1)
Papers
On the Power of Decision Trees in Auto-Regressive Language Modeling
NeurIPS 2024
Norm-based Generalization Bounds for Sparse Neural Networks
NeurIPS 2023
Approximate Inference with Wasserstein Gradient Flows
AISTATS 2020
Biologically Inspired Mechanisms for Adversarial Robustness
NeurIPS 2020
Biologically-Plausible Learning Algorithms Can Scale to Large Datasets
ICLR 2019
Fast and Flexible Inference of Joint Distributions from their Marginals
ICML 2019
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks
AISTATS 2019
Convex Learning of Multiple Tasks and their Structure
ICML 2015
Learning invariant representations and applications to face verification
NeurIPS 2013
Neural representation of action sequences: how far can a simple snippet-matching model take us?
NeurIPS 2013
Learning Manifolds with K-Means and K-Flats
NeurIPS 2012
Multiclass Learning with Simplex Coding
NeurIPS 2012
Why The Brain Separates Face Recognition From Object Recognition
NeurIPS 2011
On Invariance in Hierarchical Models
NeurIPS 2009
Introduction to the Special Issue on Machine Learning Methods for Text and Images
JMLR 2003