Sorbonne Université

∙ Paris , France ∙ 0 followers

Sorbonne University is a public research university in Paris, France, established by the merger in 2018 of Paris-Sorbonne University, Pierre et Marie Curie University, and other smaller institutions.

Deep Context-Aware Kernel Networks

Context plays a crucial role in visual recognition as it provides comple...
12/29/2019 ∙ by Mingyuan Jiu, et al. ∙ 15 ∙ share

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Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites

Swarms of molecular robots are a promising approach to create specific s...
10/01/2019 ∙ by Leo Cazenille, et al. ∙ 10 ∙ share

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Small-Task Incremental Learning

Lifelong learning has attracted much attention, but existing works still...
04/28/2020 ∙ by Arthur Douillard, et al. ∙ 6 ∙ share

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Novelty Search makes Evolvability Inevitable

Evolvability is an important feature that impacts the ability of evoluti...
05/13/2020 ∙ by Stéphane Doncieux, et al. ∙ 1 ∙ share

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Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal Replays

During sleep and awake rest, the hippocampus replays sequences of place ...
02/15/2018 ∙ by Lise Aubin, et al. ∙ 0 ∙ share

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Topological Data Analysis Made Easy with the Topology ToolKit

This tutorial presents topological methods for the analysis and visualiz...
06/21/2018 ∙ by Guillaume Favelier, et al. ∙ 0 ∙ share

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Piecewise Deterministic Markov Processes and their invariant measure

Piecewise Deterministic Markov Processes (PDMPs) are studied in a genera...
07/14/2018 ∙ by Alain Durmus, et al. ∙ 0 ∙ share

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Lifted Wasserstein Matcher for Fast and Robust Topology Tracking

This paper presents a robust and efficient method for tracking topologic...
08/17/2018 ∙ by Maxime Soler, et al. ∙ 0 ∙ share

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First-order and second-order variants of the gradient descent: a unified framework

In this paper, we provide an overview of first-order and second-order va...
10/18/2018 ∙ by Thomas Pierrot, et al. ∙ 0 ∙ share

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Convergence rate of optimal quantization grids and application to empirical measure

We study the convergence rate of optimal quantization for a probability ...
11/20/2018 ∙ by Yating Liu, et al. ∙ 0 ∙ share

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eXclusive Autoencoder (XAE) for Nucleus Detection and Classification on Hematoxylin and Eosin (H&E) Stained Histopathological Images

In this paper, we introduced a novel feature extraction approach, named ...
11/27/2018 ∙ by Chao-Hui Huang, et al. ∙ 0 ∙ share

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From exploration to control: learning object manipulation skills through novelty search and local adaptation

Programming a robot to deal with open-ended tasks remains a challenge, i...
01/03/2019 ∙ by Seungsu Kim, et al. ∙ 0 ∙ share

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Searching News Articles Using an Event Knowledge Graph Leveraged by Wikidata

News agencies produce thousands of multimedia stories describing events ...
04/11/2019 ∙ by Charlotte Rudnik, et al. ∙ 0 ∙ share

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Stabilization of infinite-dimensional linear control systems by POD reduced-order Riccati feedback

There exist many ways to stabilize an infinite-dimensional linear autono...
06/25/2019 ∙ by Emmanuel Trélat, et al. ∙ 0 ∙ share

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Unsupervised Learning and Exploration of Reachable Outcome Space

Performing Reinforcement Learning in sparse rewards settings, with very ...
09/12/2019 ∙ by Paolo Giuseppe, et al. ∙ 0 ∙ share

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Highlighting Bias with Explainable Neural-Symbolic Visual Reasoning

Many high-performance models suffer from a lack of interpretability. The...
09/19/2019 ∙ by Adrien Bennetot, et al. ∙ 0 ∙ share

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Ephemeral instruments

This article questions the notion of ephemerality of digital musical ins...
09/26/2019 ∙ by Vincent Goudard, et al. ∙ 0 ∙ share

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State Representation Learning from Demonstration

In a context where several policies can be observed as black boxes on di...
09/15/2019 ∙ by Astrid Merckling, et al. ∙ 0 ∙ share

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Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior

In this paper we address the problem of solving ill-posed inverse proble...
11/14/2019 ∙ by Mario González, et al. ∙ 0 ∙ share

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Turnpike in optimal shape design

We introduce and study the turnpike property for time-varying shapes, wi...
12/05/2019 ∙ by Gontran Lance, et al. ∙ 0 ∙ share

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Totally Deep Support Vector Machines

Support vector machines (SVMs) have been successful in solving many comp...
12/12/2019 ∙ by Hichem Sahbi, et al. ∙ 0 ∙ share

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Mathematical Analysis of Robustness of Two-Level Domain Decomposition Methods with respect to Inexact Coarse Solves

Convergence of domain decomposition methods rely heavily on the efficien...
12/31/2019 ∙ by Frédéric Nataf, et al. ∙ 0 ∙ share

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On Polynomial Modular Number Systems over Z/pZ

Polynomial Modular Number System (PMNS) is a convenient number system fo...
01/11/2020 ∙ by Jean Claude Bajard, et al. ∙ 0 ∙ share

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Analysis of the SORAS domain decomposition preconditioner for non-self-adjoint or indefinite problems

We analyze the convergence of the one-level overlapping domain decomposi...
03/20/2020 ∙ by Marcella Bonazzoli, et al. ∙ 0 ∙ share

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Explaining Regression Based Neural Network Model

Several methods have been proposed to explain Deep Neural Network (DNN)....
04/15/2020 ∙ by Mégane Millan, et al. ∙ 0 ∙ share

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ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos

Summarizing video content is an important task in many applications. Thi...
04/15/2020 ∙ by Guillaume Vaudaux-Ruth, et al. ∙ 0 ∙ share

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MobiAxis: An Embodied Learning Task for Teaching Multiplication with a Social Robot

The use of robots in educational settings is growing increasingly popula...
04/16/2020 ∙ by Karen Tatarian, et al. ∙ 0 ∙ share

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High performance SIMD modular arithmetic for polynomial evaluation

Two essential problems in Computer Algebra, namely polynomial factorizat...
04/24/2020 ∙ by Pierre Fortin, et al. ∙ 0 ∙ share

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Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments

The Preconditioned Conjugate Gradient method is often employed for the s...
05/14/2020 ∙ by Roman Iakymchuk, et al. ∙ 0 ∙ share

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Linear functional regression with truncated signatures

We place ourselves in a functional regression setting and propose a nove...
06/15/2020 ∙ by Adeline Fermanian, et al. ∙ 0 ∙ share

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Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects

We present new insights into causal inference in the context of Heteroge...
06/08/2020 ∙ by Qiming Du, et al. ∙ 0 ∙ share

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