Tomaso A. Poggio - researchr alias

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Viewing Publication 1 - 49 from 49

2023

2022

Representation Learning in Sensory Cortex: A TheoryFabio Anselmi, Tomaso A. Poggio. access, 10:102475-102491, 2022. [doi]

Achieving Adversarial Robustness in Deep Learning-Based Overhead ImagingDagen Braun, Matthew Reisman, Larry Dewell, Andrzej Banburski-Fahey, Arturo Deza, Tomaso A. Poggio. aipr 2022: 1-7 [doi]

2021

Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis WorkflowsAmir Adler, Mauricio Araya-Polo, Tomaso A. Poggio. spm, 38(2):89-119, 2021. [doi]

Neural-Guided, Bidirectional Program Search for Abstraction and ReasoningSimon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso A. Poggio, Peter Chin. complexnetworks 2022: 657-668 [doi]

2020

2019

2017

Compression of Deep Neural Networks for Image Instance RetrievalVijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Tomaso A. Poggio. dcc 2017: 300-309 [doi]

Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human VisionFrancis X. Chen, Gemma Roig, Leyla Isik, Xavier Boix, Tomaso A. Poggio. aaaiss 2017: [doi]

Is the Human Visual System Invariant to Translation and Scale?Yena Han, Gemma Roig, Gadi Geiger, Tomaso A. Poggio. aaaiss 2017: [doi]

When and Why Are Deep Networks Better Than Shallow Ones?Hrushikesh Mhaskar, Qianli Liao, Tomaso A. Poggio. AAAI 2017: 2343-2349 [doi]

Nested Invariance Pooling and RBM Hashing for Image Instance RetrievalOlivier Morère, Jie Lin, Antoine Veillard, Ling-Yu Duan, Vijay Chandrasekhar, Tomaso A. Poggio. mir 2017: 260-268 [doi]

Group Invariant Deep Representations for Image Instance RetrievalOlivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso A. Poggio. aaaiss 2017: [doi]

Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A reviewTomaso A. Poggio, Hrushikesh Mhaskar, Lorenzo Rosasco, Brando Miranda, Qianli Liao. ijautcomp, 14(5):503-519, 2017. [doi]

Invariant recognition drives neural representations of action sequencesAndrea Tacchetti, Leyla Isik, Tomaso A. Poggio. ploscb, 13(12), 2017. [doi]

Representation Learning from Orbit Sets for One-Shot ClassificationAndrea Tacchetti, Stephen Voinea, Georgios Evangelopoulos, Tomaso A. Poggio. aaaiss 2017: [doi]

Do Deep Neural Networks Suffer from Crowding?Anna Volokitin, Gemma Roig, Tomaso A. Poggio. nips 2017: 5633-5643 [doi]

2016

2015

2014

Deep Learning: Theory, Algorithms, and Applications (NII Shonan Meeting 2014-5)Pierre Baldi, Kenji Fukumizu, Tomaso A. Poggio. shonan-reports, 2014, 2014. [doi]

Phone classification by a hierarchy of invariant representation layersChiyuan Zhang, Stephen Voinea, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio. interspeech 2014: 2346-2350 [doi]

2013

Throwing Down the Visual Intelligence GauntletCheston Tan, Joel Z. Leibo, Tomaso A. Poggio. In Roberto Cipolla, Sebastiano Battiato, Giovanni Maria Farinella, editors, Machine Learning for Computer Vision. Volume 411 of Studies in Computational Intelligence, pages 1-15, Springer, 2013. [doi]

On Learnability, Complexity and StabilitySilvia Villa, Lorenzo Rosasco, Tomaso A. Poggio. BIRTHDAY 2013: 59-69 [doi]

2011

Attention as a Bayesian inference processSharat Chikkerur, Thomas Serre, Cheston Tan, Tomaso A. Poggio. hvei 2011: 786511 [doi]

2003

Learning and Perceptual InterfacesTomaso A. Poggio. cvpr 2003: 45 [doi]

2002

Learning and vision machinesBernd Heisele, Alessandro Verri, Tomaso A. Poggio. pieee, 90(7):1164-1177, 2002. [doi]

1998

Incorporating prior information in machine learning by creating virtual examplesPartha Niyogi, Federico Girosi, Tomaso A. Poggio. pieee, 86(11):2196-2209, 1998. [doi]

1995

Regularization Theory and Neural Networks ArchitecturesFederico Girosi, Michael J. Jones, Tomaso A. Poggio. neco, 7(2):219-269, 1995. [doi]

1992

Learning of visual modules from examples: A framework for understanding adaptive visual performanceTomaso A. Poggio, Shimon Edelman, Manfred Fahle. cviu, 56(1):22-30, 1992. [doi]

1990

Networks for approximation and learningTomaso A. Poggio, Federico Girosi. pieee, 78(9):1481-1497, 1990. [doi]

1989

Representation Properties of Networks: Kolmogorov's Theorem Is IrrelevantFederico Girosi, Tomaso A. Poggio. neco, 1(4):465-469, 1989. [doi]

1988

Ill-posed problems in early visionMario Bertero, Tomaso A. Poggio, Vincent Torre. pieee, 76(8):869-889, 1988. [doi]

1986

On parallel stereoMichael Drumheller, Tomaso A. Poggio. icra 1986: 1439-1448 [doi]

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