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Mar 21, 2018
Machine Learning

Incremental Learning-to-Learn with Statistical Guarantees

In learning-to-learn the goal is to infer a learning algorithm that works well on a class of tasks sampled from an unknown meta distribution. In cont…
Dec 13, 2017
Materials Science
Chemical Physics

Stable biexcitons in two-dimensional metal-halide perovskites with …

With strongly bound and stable excitons at room temperature, single-layer, two-dimensional organic-inorganic hybrid perovskites are viable semiconduc…
Aug 22, 2017
Computer Vision
Robotics

Real-Time 6DOF Pose Relocalization for Event Cameras with Stacked S…

We present a new method to relocalize the 6DOF pose of an event camera solely based on the event stream. Our method first creates the event image fro…
Feb 19, 2019
Robotics

Nonlinear Model Predictive Control for Robust Bipedal Locomotion Ex…

Human beings can make use of various reactive strategies, e.g. foot location adjustment and upper-body inclination, to keep balance while walking und…
Aug 05, 2018
Robotics

Momentum-Based Topology Estimation of Articulated Objects

Articulated objects like doors, drawers, valves, and tools are pervasive in our everyday unstructured dynamic environments. Articulation models descr…
Jul 12, 2018
Soft Condensed Matter
Fluid Dynamics

Rheology of an inverted cholesteric droplet under shear flow

The dynamics of a quasi two-dimensional isotropic droplet in a cholesteric liquid crystal medium under symmetric shear flow is studied by lattice Bol…
Mar 07, 2018
Materials Science
Chemical Physics

Exciton-polaron spectral structures in two dimensional hybrid lead-…

Owing to both electronic and dielectric confinement effects, two-dimensional organic-inorganic hybrid perovskites sustain strongly bound excitons at …
Nov 22, 2015
Mesoscale and Nanoscale Physics

Edge modes in zigzag and armchair ribbons of monolayer MoS$_2$

We explore the electronic structure, orbital character and topological aspect of a monolayer MoS$_2$ nanoribbon using tight-binding (TB) and low-ener…
Jul 20, 2016
Neural and Evolutionary Computation
Robotics

The encoding of proprioceptive inputs in the brain: knowns and unknow…

Somatosensory inputs can be grossly divided into tactile (or cutaneous) and proprioceptive -- the former conveying information about skin stimulation…
May 17, 2016
Machine Learning
Computer Vision
Robotics

Incremental Robot Learning of New Objects with Fixed Update Time

We consider object recognition in the context of lifelong learning, where a robotic agent learns to discriminate between a growing number of object c…
Sep 27, 2014
Sound
Computer Vision
Multimedia

Audio Surveillance: a Systematic Review

Despite surveillance systems are becoming increasingly ubiquitous in our living environment, automated surveillance, currently based on video sensory…
Jul 03, 2015
Optimization and Control

Stochastic inertial primal-dual algorithms

We propose and study a novel stochastic inertial primal-dual approach to solve composite optimization problems. These latter problems arise naturally…
Feb 12, 2018
Machine Learning

Latent variable time-varying network inference

In many applications of finance, biology and sociology, complex systems involve entities interacting with each other. These processes have the peculi…
May 30, 2019
Machine Learning

Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm

We present a novel algorithm to estimate the barycenter of arbitrary probability distributions with respect to the Sinkhorn divergence. Based on a Fr…
Jan 29, 2019
Machine Learning

In this work, we studied the problem of enhancing supervised learning with fairness requirements. We presented a framework based on empirical risk minimization under a novel and generalized fairness constraint. Contrarily to the previous methods, ou…

General Fair Empirical Risk Minimization

We tackle the problem of algorithmic fairness, where the goal is to avoid the unfairly influence of sensitive information, in the general context of …
Jun 27, 2017
Information Theory
Neural and Evolutionary Computation
Statistics Theory
Biological Physics
Data Analysis
Statistics and Probability

Invariant components of synergy, redundancy, and unique information …

In a system of three stochastic variables, the Partial Information Decomposition (PID) of Williams and Beer dissects the information that two variabl…
Jun 16, 2014
Systems and Control
Robotics

Robot Impedance Control and Passivity Analysis with Inner Torque and …

Impedance control is a well-established technique to control interaction forces in robotics. However, real implementations of impedance control with …
Dec 19, 2017
Robotics

A Feasibility Metric for Trajectory Optimization of Legged Robots usi…

Motion planning in multi-contact scenarios has recently gathered interest within the legged robotics community, however actuator force/torque limits …
Oct 14, 2019
Robotics

Trajectory Advancement for Robot Stand-up with Human Assistance

Physical interactions are inevitable part of human-robot collaboration tasks and rather than exhibiting simple reactive behaviors to human interactio…
Sep 13, 2018
Machine Learning

Derivative-free online learning of inverse dynamics models

This paper discusses online algorithms for inverse dynamics modelling in robotics. Several model classes including rigid body dynamics (RBD) models, …
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