Poggio, Tomaso

23 publications

NeurIPS 2025 Training the Untrainable: Introducing Inductive Bias via Representational Alignment Vighnesh Subramaniam, David Mayo, Colin Conwell, Tomaso Poggio, Boris Katz, Brian Cheung, Andrei Barbu

NeurIPS 2024 On the Power of Decision Trees in Auto-Regressive Language Modeling Yulu Gan, Tomer Galanti, Tomaso Poggio, Eran Malach

NeurIPS 2023 Norm-Based Generalization Bounds for Sparse Neural Networks Tomer Galanti, Mengjia Xu, Liane Galanti, Tomaso Poggio

NeurIPSW 2022 System Identification of Neural Systems: If We Got It Right, Would We Know? Yena Han, Tomaso Poggio, Brian Cheung

AISTATS 2020 Approximate Inference with Wasserstein Gradient Flows Charlie Frogner, Tomaso Poggio

NeurIPS 2020 Biologically Inspired Mechanisms for Adversarial Robustness Manish Reddy Vuyyuru, Andrzej Banburski, Nishka Pant, Tomaso Poggio

ICLR 2019 Biologically-Plausible Learning Algorithms Can Scale to Large Datasets Will Xiao, Honglin Chen, Qianli Liao, Tomaso Poggio

ICML 2019 Fast and Flexible Inference of Joint Distributions from Their Marginals Charlie Frogner, Tomaso Poggio

AISTATS 2019 Fisher-Rao Metric, Geometry, and Complexity of Neural Networks Tengyuan Liang, Tomaso Poggio, Alexander Rakhlin, James Stokes

ICML 2015 Convex Learning of Multiple Tasks and Their Structure Carlo Ciliberto, Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco

NeurIPS 2013 Learning Invariant Representations and Applications to Face Verification Qianli Liao, Joel Z. Leibo, Tomaso Poggio

NeurIPS 2013 Neural Representation of Action Sequences: How Far Can a Simple Snippet-Matching Model Take Us? Cheston Tan, Jedediah M Singer, Thomas Serre, David Sheinberg, Tomaso Poggio

NeurIPS 2012 Learning Manifolds with K-Means and K-Flats Guillermo Canas, Tomaso Poggio, Lorenzo Rosasco

NeurIPS 2012 Multiclass Learning with Simplex Coding Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco, Jean-jeacques Slotine

NeurIPS 2011 Why the Brain Separates Face Recognition from Object Recognition Joel Z. Leibo, Jim Mutch, Tomaso Poggio

NeurIPS 2009 On Invariance in Hierarchical Models Jake Bouvrie, Lorenzo Rosasco, Tomaso Poggio

NeurIPS 2001 Categorization by Learning and Combining Object Parts Bernd Heisele, Thomas Serre, Massimiliano Pontil, Thomas Vetter, Tomaso Poggio

NeurIPS 2000 Feature Selection for SVMs Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik

NeurIPS 2000 Incremental and Decremental Support Vector Machine Learning Gert Cauwenberghs, Tomaso Poggio

NeurIPS 1997 Just One View: Invariances in Inferotemporal Cell Tuning Maximilian Riesenhuber, Tomaso Poggio

NeurIPS 1996 3D Object Recognition: A Model of View-Tuned Neurons Emanuela Bricolo, Tomaso Poggio, Nikos K. Logothetis

NeurIPS 1990 Extensions of a Theory of Networks for Approximation and Learning: Outliers and Negative Examples Federico Girosi, Tomaso Poggio, Bruno Caprile

NeurIPS 1988 A Network for Image Segmentation Using Color Anya Hurlbert, Tomaso Poggio