| 2025 | ALT | On Generalization Bounds for Neural Networks with Low Rank Layers. | Andrea Pinto, Akshay Rangamani, Tomaso A. Poggio |
| 2025 | ICLR | Formation of Representations in Neural Networks. | Liu Ziyin, Isaac L. Chuang, Tomer Galanti, Tomaso A. Poggio |
| 2025 | ICML | Position: A Theory of Deep Learning Must Include Compositional Sparsity. | David A. Danhofer, Davide D'Ascenzo, Rafael Dubach, Tomaso A. Poggio |
| 2023 | ICML | System Identification of Neural Systems: If We Got It Right, Would We Know? | Yena Han, Tomaso A. Poggio, Brian Cheung |
| 2023 | ICML | Feature learning in deep classifiers through Intermediate Neural Collapse. | Akshay Rangamani, Marius Lindegaard, Tomer Galanti, Tomaso A. Poggio |
| 2020 | AISTATS | Approximate Inference with Wasserstein Gradient Flows. | Charlie Frogner, Tomaso A. Poggio |
| 2020 | CogSci | Cross-Domain Adversarial Reprogramming of a Recurrent Neural Network. | Alexandra Maria Proca, Andrzej Banburski, Tomaso A. Poggio |
| 2019 | AISTATS | Fisher-Rao Metric, Geometry, and Complexity of Neural Networks. | Tengyuan Liang, Tomaso A. Poggio, Alexander Rakhlin, James Stokes |
| 2019 | ICLR | Biologically-Plausible Learning Algorithms Can Scale to Large Datasets. | Will Xiao, Honglin Chen, Qianli Liao, Tomaso A. Poggio |
| 2019 | ICML | Fast and Flexible Inference of Joint Distributions from their Marginals. | Charlie Frogner, Tomaso A. Poggio |
| 2017 | AAAI | When and Why Are Deep Networks Better Than Shallow Ones? | Hrushikesh N. Mhaskar, Qianli Liao, Tomaso A. Poggio |
| 2017 | DCC | Compression of Deep Neural Networks for Image Instance Retrieval. | Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morre, Antoine Veillard, Ling-Yu Duan, Tomaso A. Poggio |
| 2016 | AAAI | How Important Is Weight Symmetry in Backpropagation? | Qianli Liao, Joel Z. Leibo, Tomaso A. Poggio |
| 2016 | AAAI | Holographic Embeddings of Knowledge Graphs. | Maximilian Nickel, Lorenzo Rosasco, Tomaso A. Poggio |
| 2015 | ICML | Convex Learning of Multiple Tasks and their Structure. | Carlo Ciliberto, Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco |
| 2015 | Interspeech | Discriminative template learning in group-convolutional networks for invariant speech representations. | Chiyuan Zhang, Stephen Voinea, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio |
| 2014 | ICASSP | A deep representation for invariance and music classification. | Chiyuan Zhang, Georgios Evangelopoulos, Stephen Voinea, Lorenzo Rosasco, Tomaso A. Poggio |
| 2014 | Interspeech | Word-level invariant representations from acoustic waveforms. | Stephen Voinea, Chiyuan Zhang, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio |
| 2014 | Interspeech | Phone classification by a hierarchy of invariant representation layers. | Chiyuan Zhang, Stephen Voinea, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio |
| 2013 | ICPRAM | The Computational Magic of Pattern Recognition in Cortex: A Theory of Selectivity and Invariance. | Tomaso A. Poggio |
| 2011 | ICCV | HMDB: A large video database for human motion recognition. | Hildegard Kuehne, Hueihan Jhuang, Estbaliz Garrote, Tomaso A. Poggio, Thomas Serre |
| 2008 | ICASSP | Localized spectro-temporal cepstral analysis of speech. | Jake V. Bouvrie, Tony Ezzat, Tomaso A. Poggio |
| 2008 | Interspeech | Discriminative word-spotting using ordered spectro-temporal patch features. | Tony Ezzat, Tomaso A. Poggio |
| 2007 | ICASSP | AM-FM Demodulation of Spectrograms using Localized 2D Max-Gabor Analysis. | Tony Ezzat, Jake V. Bouvrie, Tomaso A. Poggio |
| 2007 | ICCV | A Biologically Inspired System for Action Recognition. | Hueihan Jhuang, Thomas Serre, Lior Wolf, Tomaso A. Poggio |
| 2007 | Interspeech | Spectro-temporal analysis of speech using 2-d Gabor filters. | Tony Ezzat, Jake V. Bouvrie, Tomaso A. Poggio |
| 2006 | Interspeech | Max-Gabor analysis and synthesis of spectrograms. | Tony Ezzat, Jake V. Bouvrie, Tomaso A. Poggio |
| 2005 | CVPR | Object Recognition with Features Inspired by Visual Cortex. | Thomas Serre, Lior Wolf, Tomaso A. Poggio |
| 2005 | ICANN | Learning Features of Intermediate Complexity for the Recognition of Biological Motion. | Rodrigo Sigala, Thomas Serre, Tomaso A. Poggio, Martin A. Giese |
| 2005 | Interspeech | Morphing spectral envelopes using audio flow. | Tony Ezzat, Ethan Meyers, James R. Glass, Tomaso A. Poggio |
| 2003 | CVPR | Learning and Perceptual Interfaces. | Tomaso A. Poggio |
| 2001 | CVPR | Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images. | Bernd Heisele, Thomas Serre, Sayan Mukherjee, Tomaso A. Poggio |
| 2001 | CVPR | Component-based Face Detection. | Bernd Heisele, Thomas Serre, Massimiliano Pontil, Tomaso A. Poggio |
| 2001 | ICCV | Face Recognition with Support Vector Machines: Global versus Component-based Approach. | Bernd Heisele, Purdy Ho, Tomaso A. Poggio |
| 2000 | ICML | Bounds on the Generalization Performance of Kernel Machine Ensembles. | Theodoros Evgeniou, Luis Prez-Breva, Massimiliano Pontil, Tomaso A. Poggio |
| 2000 | ICPR | Object Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation. | Chikahito Nakajima, Norihiko Itoh, Massimiliano Pontil, Tomaso A. Poggio |
| 2000 | IJCNN | People Recognition and Pose Estimation in Image Sequences. | Chikahito Nakajima, Massimiliano Pontil, Tomaso A. Poggio |
| 1999 | ICASSP | Sparse correlation kernel reconstruction. | Constantine Papageorgiou, Federico Girosi, Tomaso A. Poggio |
| 1999 | ICCV | A Pattern Classification Approach to Dynamical Object Detection. | Constantine Papageorgiou, Tomaso A. Poggio |
| 1999 | ICIP | Trainable Pedestrian Detection. | Constantine Papageorgiou, Tomaso A. Poggio |
| 1998 | CVPR | Hierarchical Morphable Models. | Michael J. Jones, Tomaso A. Poggio |
| 1998 | ICCV | Multidimensional Morphable Models. | Michael J. Jones, Tomaso A. Poggio |
| 1998 | ICCV | A General Framework for Object Detection. | Constantine Papageorgiou, Michael Oren, Tomaso A. Poggio |
| 1997 | CVPR | Pedestrian Detection Using Wavelet Templates. | Michael Oren, Constantine Papageorgiou, Pawan Sinha, Edgar Osuna, Tomaso A. Poggio |
| 1997 | CVPR | A bootstrapping algorithm for learning linear models of object classes. | Thomas Vetter, Michael J. Jones, Tomaso A. Poggio |
| 1997 | VRST | Image-based view synthesis by combining trilinear tensors and learning techniques. | Shai Avidan, Theodoros Evgeniou, Amnon Shashua, Tomaso A. Poggio |
| 1996 | ECCV | Image Synthesis from a Single Example Image. | Thomas Vetter, Tomaso A. Poggio |
| 1995 | ACCV | Finding Human Faces with a Gaussian Mixture Distribution-Based Face Model. | Tomaso A. Poggio, Kah Kay Sung |
| 1995 | CAIP | Learning Human Face Detection in Cluttered Scenes. | Kah Kay Sung, Tomaso A. Poggio |
| 1995 | ICCV | Face Recognition from One Example View. | David Beymer, Tomaso A. Poggio |
| 1995 | ICCV | Model-Based Matching of Line Drawings by Linear Combinations of Prototypes. | Michael J. Jones, Tomaso A. Poggio |
| 1993 | ICCV | Optical flow from 1D correlation: Application to a simple time-to-crash detector. | Nicola Ancona, Tomaso A. Poggio |
| 1992 | ECCV | Face Recognition through Geometrical Features. | Roberto Brunelli, Tomaso A. Poggio |
| 1991 | IJCAI | HyperBF Networks for Real Object Recognition. | Roberto Brunelli, Tomaso A. Poggio |
| 1988 | ICCV | Parallel Optical Flow Using Local Voting. | James J. Little, Heinrich H. Blthoff, Tomaso A. Poggio |
| 1987 | IJCAI | An Optimal Scale for Edge Detection. | Davi Geiger, Tomaso A. Poggio |
| 1986 | ICRA | On parallel stereo. | Michael Drumheller, Tomaso A. Poggio |
| 1984 | AAAI | Fingerprints Theorems. | Alan L. Yuille, Tomaso A. Poggio |