← Authors

Tomaso Poggio

15 papers · 2003–2024 · 5 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (5) πŸƒ Academic Marathon (21) 🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (18) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (5) πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (54) πŸ“ˆ Trend Setter ❓ The Questioner πŸ’Ž Century Club (15)

Conferences

NIPS (9) AISTATS (2) ICML (2) ICLR (1) JMLR (1)

Top co-authors

Lorenzo Rosasco (4) Youssef Mroueh (2) Tomer Galanti (2) Joel Z. Leibo (2) Charlie Frogner (2) Qianli Liao (2) John Shawe-Taylor (1) Nishka Pant (1) Alexander Rakhlin (1) Thomas Serre (1)

Keywords

ventral stream (4) unsupervised learning (2) representation learning (2) face recognition (2) feature learning (2) object recognition (2) hierarchical model (2) convolutional neural network (2) multi-task learning (1) approximate inference (1) sequence modeling (1) manifold learning (1) variational inference (1) transfer learning (1) temporal modeling (1) visual cortex (1) action recognition (1) k-means clustering (1) adversarial robustness (1) computer vision (1)

Papers

On the Power of Decision Trees in Auto-Regressive Language Modeling NIPS 2024
Norm-based Generalization Bounds for Sparse Neural Networks NIPS 2023
Biologically Inspired Mechanisms for Adversarial Robustness NIPS 2020
Approximate Inference with Wasserstein Gradient Flows AISTATS 2020
Fast and Flexible Inference of Joint Distributions from their Marginals ICML 2019
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks AISTATS 2019
Biologically-Plausible Learning Algorithms Can Scale to Large Datasets ICLR 2019
Convex Learning of Multiple Tasks and their Structure ICML 2015
Neural representation of action sequences: how far can a simple snippet-matching model take us? NIPS 2013
Learning invariant representations and applications to face verification NIPS 2013
Learning Manifolds with K-Means and K-Flats NIPS 2012
Multiclass Learning with Simplex Coding NIPS 2012
Why The Brain Separates Face Recognition From Object Recognition NIPS 2011
On Invariance in Hierarchical Models NIPS 2009
Introduction to the Special Issue on Machine Learning Methods for Text and Images JMLR 2003