research
∙
06/26/2023
Neural State-Dependent Delay Differential Equations
Discontinuities and delayed terms are encountered in the governing equat...
share
research
∙
01/13/2023
Designing losses for data-free training of normalizing flows on Boltzmann distributions
Generating a Boltzmann distribution in high dimension has recently been ...
research
∙
11/21/2022
DS-GPS : A Deep Statistical Graph Poisson Solver (for faster CFD simulations)
This paper proposes a novel Machine Learning-based approach to solve a P...
research
∙
11/06/2022
SE(3)-equivariant Graph Neural Networks for Learning Glassy Liquids Representations
Within the glassy liquids community, the use of Machine Learning (ML) to...
research
∙
07/12/2022
Machine Learning model for gas-liquid interface reconstruction in CFD numerical simulations
The volume of fluid (VoF) method is widely used in multi-phase flow simu...
research
∙
07/12/2022
Docent: A content-based recommendation system to discover contemporary art
Recommendation systems have been widely used in various domains such as ...
research
∙
05/17/2021
DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification
The impressive results of modern neural networks partly come from their ...
research
∙
02/10/2021
Input Similarity from the Neural Network Perspective
We first exhibit a multimodal image registration task, for which a neura...
research
∙
02/01/2020
Interpreting a Penalty as the Influence of a Bayesian Prior
In machine learning, it is common to optimize the parameters of a probab...
research
∙
11/25/2019
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators
The topic of provable deep neural network robustness has raised consider...
research
∙
10/23/2019
Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data
The forecast of tropical cyclone trajectories is crucial for the protect...
research
∙
03/12/2019
Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data
In machine learning the best performance on a certain task is achieved b...
research
∙
09/07/2018
Optimizing deep video representation to match brain activity
The comparison of observed brain activity with the statistics generated ...
research
∙
02/27/2018
Coarse to fine non-rigid registration: a chain of scale-specific neural networks for multimodal image alignment with application to remote sensing
We tackle here the problem of multimodal image non-rigid registration, w...
research
∙
11/07/2016
High-Resolution Semantic Labeling with Convolutional Neural Networks
Convolutional neural networks (CNNs) have received increasing attention ...
research
∙
08/11/2016
Recurrent Neural Networks to Correct Satellite Image Classification Maps
While initially devised for image categorization, convolutional neural n...
research
∙
07/28/2015