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12/06/2022
Supervised Tractogram Filtering using Geometric Deep Learning
A tractogram is a virtual representation of the brain white matter. It i...
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01/19/2022
Generative Models for Periodicity Detection in Noisy Signals
We introduce a new periodicity detection algorithm for binary time serie...
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01/28/2021
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-...
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09/28/2020
Learning to Detect Objects with a 1 Megapixel Event Camera
Event cameras encode visual information with high temporal precision, lo...
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04/07/2020
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...
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03/24/2020
Tractogram filtering of anatomically non-plausible fibers with geometric deep learning
Tractograms are virtual representations of the white matter fibers of th...
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01/27/2020
Deep Graph Matching Consensus
This work presents a two-stage neural architecture for learning and refi...
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01/07/2020
Infinite-Horizon Differentiable Model Predictive Control
This paper proposes a differentiable linear quadratic Model Predictive C...
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12/09/2019
No Representation without Transformation
We propose to extend Latent Variable Models with a simple idea: learn to...
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11/15/2019
Safe Interactive Model-Based Learning
Control applications present hard operational constraints. A violation o...
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06/17/2019
Accelerating Neural ODEs with Spectral Elements
This paper proposes the use of spectral element methods canuto_spectral_...
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06/13/2019
Recurrent Neural Processes
We extend Neural Processes (NPs) to sequential data through Recurrent NP...
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06/07/2019
Conditional Neural Style Transfer with Peer-Regularized Feature Transform
This paper introduces a neural style transfer model to conditionally gen...
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04/15/2019
Differentiable Iterative Surface Normal Estimation
This paper presents an end-to-end differentiable algorithm for anisotrop...
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06/14/2018
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation
We introduce ReConvNet, a recurrent convolutional architecture for semi-...
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05/31/2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
Deep learning systems have become ubiquitous in many aspects of our live...
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04/19/2018
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
This paper introduces "Non-Autonomous Input-Output Stable Network" (NAIS...
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11/25/2016
Geometric deep learning on graphs and manifolds using mixture model CNNs
Deep learning has achieved a remarkable performance breakthrough in seve...
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05/20/2016
Learning shape correspondence with anisotropic convolutional neural networks
Establishing correspondence between shapes is a fundamental problem in g...
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01/26/2015
Geodesic convolutional neural networks on Riemannian manifolds
Feature descriptors play a crucial role in a wide range of geometry anal...
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10/05/2014
Understanding Locally Competitive Networks
Recently proposed neural network activation functions such as rectified ...
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07/11/2014
Deep Networks with Internal Selective Attention through Feedback Connections
Traditional convolutional neural networks (CNN) are stationary and feedf...
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12/19/2013
Sparse similarity-preserving hashing
In recent years, a lot of attention has been devoted to efficient neares...
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02/07/2013
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Deep Neural Networks now excel at image classification, detection and se...
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02/07/2013
A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks
We present a fast algorithm for training MaxPooling Convolutional Networ...
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12/11/2012
A Learning Framework for Morphological Operators using Counter-Harmonic Mean
We present a novel framework for learning morphological operators using ...
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07/07/2012
Object Recognition with Multi-Scale Pyramidal Pooling Networks
We present a Multi-Scale Pyramidal Pooling Network, featuring a novel py...
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07/06/2012
Multimodal similarity-preserving hashing
We introduce an efficient computational framework for hashing data belon...
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12/29/2011
Descriptor learning for omnidirectional image matching
Feature matching in omnidirectional vision systems is a challenging prob...
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02/01/2011
