On Fast Deep Nets for AGI Vision. - Jürgen Schmidhuber; Dan C. Ciresan; Ueli Meier; Jonathan Masci; Alex Graves (AGI, 2011)

AutoIncSFA and vision-based developmental learning for humanoid robots. - Varun Raj Kompella; Leo Pape; Jonathan Masci; Mikhail Frank; Jürgen Schmidhuber (Humanoids, 2011)

Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction. - Jonathan Masci; Ueli Meier; Dan C. Ciresan; Jürgen Schmidhuber (ICANN (1), 2011)

Flexible, High Performance Convolutional Neural Networks for Image Classification. - Dan Claudiu Ciresan; Ueli Meier; Jonathan Masci; Luca Maria Gambardella; Jürgen Schmidhuber (IJCAI, 2011)

A committee of neural networks for traffic sign classification. - Dan C. Ciresan; Ueli Meier; Jonathan Masci; Jürgen Schmidhuber (IJCNN, 2011)

High-Performance Neural Networks for Visual Object Classification - Dan C. Ciresan; Ueli Meier; Jonathan Masci; Luca Maria Gambardella; Jürgen Schmidhuber (CoRR, 2011)

Descriptor learning for omnidirectional image matching - Jonathan Masci; Davide Migliore; Michael M. Bronstein; Jürgen Schmidhuber (CoRR, 2011)

Steel defect classification with Max-Pooling Convolutional Neural Networks. - Jonathan Masci; Ueli Meier; Dan C. Ciresan; Jürgen Schmidhuber; Gabriel Fricout (IJCNN, 2012)

Object Recognition with Multi-Scale Pyramidal Pooling Networks - Jonathan Masci; Ueli Meier; Gabriel Fricout; Jürgen Schmidhuber (CoRR, 2012)

Multi-column deep neural network for traffic sign classification. - Dan C. Ciresan; Ueli Meier; Jonathan Masci; Jürgen Schmidhuber (Neural Networks, 2012)

Fast image scanning with deep max-pooling convolutional neural networks. - Alessandro Giusti; Dan C. Ciresan; Jonathan Masci; Luca Maria Gambardella; Jürgen Schmidhuber (ICIP, 2013)

Quantifying challenging images of fiber-like structures. - Alessandro Giusti; Jonathan Masci; Paola M. V. Rancoita (ICIP, 2013)

A fast learning algorithm for image segmentation with max-pooling convolutional networks. - Jonathan Masci; Alessandro Giusti; Dan C. Ciresan; Gabriel Fricout; Jürgen Schmidhuber (ICIP, 2013)

Multi-scale pyramidal pooling network for generic steel defect classification. - Jonathan Masci; Ueli Meier; Gabriel Fricout; Jürgen Schmidhuber (IJCNN, 2013)

A Learning Framework for Morphological Operators Using Counter-Harmonic Mean. - Jonathan Masci; Jesús Angulo; Jürgen Schmidhuber (ISMM, 2013)

Compete to Compute. - Rupesh Kumar Srivastava; Jonathan Masci; Sohrob Kazerounian; Faustino J. Gomez; Jürgen Schmidhuber (NIPS, 2013)

Deep Networks with Internal Selective Attention through Feedback Connections. - Marijn F. Stollenga; Jonathan Masci; Faustino J. Gomez; Jürgen Schmidhuber (NIPS, 2014)

Sparse similarity-preserving hashing. - Jonathan Masci; Alexander M. Bronstein; Michael M. Bronstein; Pablo Sprechmann; Guillermo Sapiro (ICLR, 2014)

Multimodal Similarity-Preserving Hashing. - Jonathan Masci; Michael M. Bronstein; Alexander M. Bronstein; Jürgen Schmidhuber (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Descriptor Learning for Omnidirectional Image Matching. - Jonathan Masci; Davide Migliore; Michael M. Bronstein; Jürgen Schmidhuber (Registration and Recognition in Images and Videos, 2014)

Geodesic Convolutional Neural Networks on Riemannian Manifolds. - Jonathan Masci; Davide Boscaini; Michael M. Bronstein; Pierre Vandergheynst (ICCV Workshops, 2015)

Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks. - Davide Boscaini; Jonathan Masci; Simone Melzi; Michael M. Bronstein; Umberto Castellani; Pierre Vandergheynst (Comput. Graph. Forum, 2015)

ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds. - Jonathan Masci; Davide Boscaini; Michael M. Bronstein; Pierre Vandergheynst (CoRR, 2015)

Understanding Locally Competitive Networks. - Rupesh Kumar Srivastava; Jonathan Masci; Faustino J. Gomez; Jürgen Schmidhuber (ICLR (Poster), 2015)

Matching Deformable Objects in Clutter. - Luca Cosmo; Emanuele Rodolà; Jonathan Masci; Andrea Torsello; Michael M. Bronstein (3DV, 2016)

Deep Learning for Shape Analysis. - Michael M. Bronstein; Evangelos Kalogerakis; Emanuele Rodolà; Jonathan Masci; Davide Boscaini (Eurographics (Tutorials), 2016)

Palmprint recognition via discriminative index learning. - Jan Svoboda; Jonathan Masci; Michael M. Bronstein (ICPR, 2016)

Learning shape correspondence with anisotropic convolutional neural networks. - Davide Boscaini; Jonathan Masci; Emanuele Rodolà; Michael M. Bronstein (NIPS, 2016)

Geometric deep learning. - Jonathan Masci; Emanuele Rodolà; Davide Boscaini; Michael M. Bronstein; Hao Li 015 (SIGGRAPH ASIA Courses, 2016)

Anisotropic Diffusion Descriptors. - Davide Boscaini; Jonathan Masci; Emanuele Rodolà; Michael M. Bronstein; Daniel Cremers (Comput. Graph. Forum, 2016)

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs. - Federico Monti; Davide Boscaini; Jonathan Masci; Emanuele Rodolà; Jan Svoboda; Michael M. Bronstein (CVPR, 2017)

NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. - Marco Ciccone; Marco Gallieri; Jonathan Masci; Christian Osendorfer; Faustino J. Gomez (NeurIPS, 2018)

ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation. - Francesco Lattari; Marco Ciccone; Matteo Matteucci; Jonathan Masci; Francesco Visin (CoRR, 2018)

PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. - Jan Svoboda; Jonathan Masci; Federico Monti; Michael M. Bronstein; Leonidas J. Guibas (ICLR (Poster), 2019)

Differentiable Iterative Surface Normal Estimation. - Jan Eric Lenssen; Christian Osendorfer; Jonathan Masci (CoRR, 2019)

Conditional Neural Style Transfer with Peer-Regularized Feature Transform. - Jan Svoboda; Asha Anoosheh; Christian Osendorfer; Jonathan Masci (CoRR, 2019)

Recurrent Neural Processes. - Timon Willi; Jonathan Masci; Jürgen Schmidhuber; Christian Osendorfer (CoRR, 2019)

Accelerating Neural ODEs with Spectral Elements. - Alessio Quaglino; Marco Gallieri; Jonathan Masci; Jan Koutník (CoRR, 2019)

Safe Interactive Model-Based Learning. - Marco Gallieri; Seyed Sina Mirrazavi Salehian; Nihat Engin Toklu; Alessio Quaglino; Jonathan Masci; Jan Koutník; Faustino J. Gomez (CoRR, 2019)

No Representation without Transformation. - Giorgio Giannone; Jonathan Masci; Christian Osendorfer (CoRR, 2019)

Deep Iterative Surface Normal Estimation. - Jan Eric Lenssen; Christian Osendorfer; Jonathan Masci (CVPR, 2020)

Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer. - Jan Svoboda; Asha Anoosheh; Christian Osendorfer; Jonathan Masci (CVPR, 2020)

Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition. - Jan Svoboda; Pietro Astolfi; Davide Boscaini; Jonathan Masci; Michael M. Bronstein (IJCB, 2020)

Infinite-Horizon Differentiable Model Predictive Control. - Sebastian East; Marco Gallieri; Jonathan Masci; Jan Koutník; Mark Cannon (ICLR, 2020)

Deep Graph Matching Consensus. - Matthias Fey; Jan Eric Lenssen; Christopher Morris 001; Jonathan Masci; Nils M. Kriege (ICLR, 2020)

SNODE: Spectral Discretization of Neural ODEs for System Identification. - Alessio Quaglino; Marco Gallieri; Jonathan Masci; Jan Koutník (ICLR, 2020)

Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning. - Pietro Astolfi; Ruben S. Verhagen; Laurent Petit; Emanuele Olivetti; Jonathan Masci; Davide Boscaini; Paolo Avesani (MICCAI (7), 2020)

Learning to Detect Objects with a 1 Megapixel Event Camera. - Etienne Perot; Pierre de Tournemire; Davide Nitti 002; Jonathan Masci; Amos Sironi (NeurIPS, 2020)

Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs. - Giorgio Giannone; Asha Anoosheh; Alessio Quaglino; Pierluca D'Oro; Marco Gallieri; Jonathan Masci (CoRR, 2020)

Automatic design of novel potential 3CLpro and PLpro inhibitors. - Timothy Atkinson 001; Saeed Saremi; Faustino J. Gomez; Jonathan Masci (CoRR, 2021)

Supervised tractogram filtering using Geometric Deep Learning. - Pietro Astolfi; Ruben S. Verhagen; Laurent Petit; Emanuele Olivetti; Silvio Sarubbo; Jonathan Masci; Davide Boscaini; Paolo Avesani (Medical Image Anal., 2023)