Jonathan Masci

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Post-Doctoral Researcher at Università della Svizzera Italiana

Automatic design of novel potential 3CL^pro and PL^pro inhibitors

With the goal of designing novel inhibitors for SARS-CoV-1 and SARS-CoV-...
01/28/2021 ∙ by Timothy Atkinson, et al. ∙ 0 ∙ share

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Learning to Detect Objects with a 1 Megapixel Event Camera

Event cameras encode visual information with high temporal precision, lo...
09/28/2020 ∙ by Etienne Perot, et al. ∙ 0 ∙ share

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Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs

Event-based cameras are novel, efficient sensors inspired by the human v...
04/07/2020 ∙ by Giorgio Giannone, et al. ∙ 13 ∙ share

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Tractogram filtering of anatomically non-plausible fibers with geometric deep learning

Tractograms are virtual representations of the white matter fibers of th...
03/24/2020 ∙ by Pietro Astolfi, et al. ∙ 1 ∙ share

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Deep Graph Matching Consensus

This work presents a two-stage neural architecture for learning and refi...
01/27/2020 ∙ by Matthias Fey, et al. ∙ 18 ∙ share

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Infinite-Horizon Differentiable Model Predictive Control

This paper proposes a differentiable linear quadratic Model Predictive C...
01/07/2020 ∙ by Sebastian East, et al. ∙ 0 ∙ share

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No Representation without Transformation

We propose to extend Latent Variable Models with a simple idea: learn to...
12/09/2019 ∙ by Giorgio Giannone, et al. ∙ 13 ∙ share

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Safe Interactive Model-Based Learning

Control applications present hard operational constraints. A violation o...
11/15/2019 ∙ by Marco Gallieri, et al. ∙ 20 ∙ share

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Accelerating Neural ODEs with Spectral Elements

This paper proposes the use of spectral element methods canuto_spectral_...
06/17/2019 ∙ by Alessio Quaglino, et al. ∙ 2 ∙ share

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Recurrent Neural Processes

We extend Neural Processes (NPs) to sequential data through Recurrent NP...
06/13/2019 ∙ by Timon Willi, et al. ∙ 2 ∙ share

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Conditional Neural Style Transfer with Peer-Regularized Feature Transform

This paper introduces a neural style transfer model to conditionally gen...
06/07/2019 ∙ by Jan Svoboda, et al. ∙ 4 ∙ share

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Differentiable Iterative Surface Normal Estimation

This paper presents an end-to-end differentiable algorithm for anisotrop...
04/15/2019 ∙ by Jan Eric Lenssen, et al. ∙ 2 ∙ share

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ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation

We introduce ReConvNet, a recurrent convolutional architecture for semi-...
06/14/2018 ∙ by Francesco Lattari, et al. ∙ 2 ∙ share

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PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks

Deep learning systems have become ubiquitous in many aspects of our live...
05/31/2018 ∙ by Jan Svoboda, et al. ∙ 0 ∙ share

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NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations

This paper introduces "Non-Autonomous Input-Output Stable Network" (NAIS...
04/19/2018 ∙ by Marco Ciccone, et al. ∙ 0 ∙ share

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Geometric deep learning on graphs and manifolds using mixture model CNNs

Deep learning has achieved a remarkable performance breakthrough in seve...
11/25/2016 ∙ by Federico Monti, et al. ∙ 0 ∙ share

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Learning shape correspondence with anisotropic convolutional neural networks

Establishing correspondence between shapes is a fundamental problem in g...
05/20/2016 ∙ by Davide Boscaini, et al. ∙ 0 ∙ share

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Geodesic convolutional neural networks on Riemannian manifolds

Feature descriptors play a crucial role in a wide range of geometry anal...
01/26/2015 ∙ by Jonathan Masci, et al. ∙ 0 ∙ share

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Understanding Locally Competitive Networks

Recently proposed neural network activation functions such as rectified ...
10/05/2014 ∙ by Rupesh Kumar Srivastava, et al. ∙ 0 ∙ share

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Deep Networks with Internal Selective Attention through Feedback Connections

Traditional convolutional neural networks (CNN) are stationary and feedf...
07/11/2014 ∙ by Marijn Stollenga, et al. ∙ 0 ∙ share

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Sparse similarity-preserving hashing

In recent years, a lot of attention has been devoted to efficient neares...
12/19/2013 ∙ by Jonathan Masci, et al. ∙ 0 ∙ share

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Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks

Deep Neural Networks now excel at image classification, detection and se...
02/07/2013 ∙ by Alessandro Giusti, et al. ∙ 0 ∙ share

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A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks

We present a fast algorithm for training MaxPooling Convolutional Networ...
02/07/2013 ∙ by Jonathan Masci, et al. ∙ 0 ∙ share

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A Learning Framework for Morphological Operators using Counter-Harmonic Mean

We present a novel framework for learning morphological operators using ...
12/11/2012 ∙ by Jonathan Masci, et al. ∙ 0 ∙ share

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Object Recognition with Multi-Scale Pyramidal Pooling Networks

We present a Multi-Scale Pyramidal Pooling Network, featuring a novel py...
07/07/2012 ∙ by Jonathan Masci, et al. ∙ 0 ∙ share

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Multimodal similarity-preserving hashing

We introduce an efficient computational framework for hashing data belon...
07/06/2012 ∙ by Jonathan Masci, et al. ∙ 0 ∙ share

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Descriptor learning for omnidirectional image matching

Feature matching in omnidirectional vision systems is a challenging prob...
12/29/2011 ∙ by Jonathan Masci, et al. ∙ 0 ∙ share

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High-Performance Neural Networks for Visual Object Classification

We present a fast, fully parameterizable GPU implementation of Convoluti...
02/01/2011 ∙ by Dan C. Cireşan, et al. ∙ 0 ∙ share

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Jonathan Masci

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