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Sep 28, 2018
Computer Vision

Domain Generalization with Domain-Specific Aggregation Modules

Visual recognition systems are meant to work in the real world. For this to happen, they must work robustly in any visual domain, and not only on t...
Oct 19, 2018
Computer Vision

Learning with privileged information via adversarial discriminative...

Heterogeneous data modalities can provide complementary cues for several tasks, usually leading to more robust algorithms and better performance. H...
Dec 04, 2018
Machine Learning
Data Structures and Algorithms

On learning with shift-invariant structures

We describe new results and algorithms for two different, but related, problems which deal with circulant matrices: learning shift-invariant compon...
Jan 05, 2014
Mesoscale and Nanoscale Physics

Electron-hole pairing in graphene-GaAs heterostructures

Vertical heterostructures combining different layered materials offer novel opportunities for applications and fundamental studies of collective be...
Jun 13, 2018
Machine Learning

Bilevel Programming for Hyperparameter Optimization and Meta-Learning

We introduce a framework based on bilevel programming that unifies gradient-based hyperparameter optimization and meta-learning. We show that an ap...
May 28, 2018
By milios
Machine Learning

Dirichlet-based Gaussian Processes for Large-scale Calibrated Cla...

In this paper, we study the problem of deriving fast and accurate classification algorithms with uncertainty quantification. Gaussian process class...
Nov 23, 2017
By ssilvio
Computer Vision

Adversarial Feature Augmentation for Unsupervised Domain Adaptation

Recent works showed that Generative Adversarial Networks (GANs) can be successfully applied in unsupervised domain adaptation, where, given a label...
Sep 05, 2018
Robotics

Telexistence and Teleoperation for Walking Humanoid Robots

This paper proposes an architecture for achieving telexistence and teleoperation of humanoid robots. The architecture combines several technologica...
Sep 26, 2018
Robotics

Fast and Continuous Foothold Adaptation for Dynamic Locomotion thro...

Legged robots can outperform wheeled machines for most navigation tasks across unknown and rough terrains. For such tasks, visual feedback is a fun...
Jun 06, 2016
Machine Learning
Computer Vision

Active Regression with Adaptive Huber Loss

This paper addresses the scalar regression problem through a novel solution to exactly optimize the Huber loss in a general semi-supervised setting...
May 20, 2019
Machine Learning
Methodology

In this paper we extended the theory behind the AN framework for structure learning in several ways. We first introduced an alternative regression-free test of independence. This test does not require the reconstruction of the additive noise using...

Conditionally-additive-noise Models for Structure Learning

Constraint-based structure learning algorithms infer the causal structure of multivariate systems from observational data by determining an equival...
Mar 13, 2019
Machine Learning

Gaussian Process Optimization with Adaptive Sketching: Scalable and...

Gaussian processes (GP) are a popular Bayesian approach for the optimization of black-box functions. Despite their effectiveness in simple problems...
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-en...
Nov 19, 2018
Machine Learning
Data Structures and Algorithms
Numerical Analysis

Approximate Eigenvalue Decompositions of Linear Transformations wit...

The ability to decompose a signal in an orthonormal basis (a set of orthogonal components, each normalized to have unit length) using a fast numeri...
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 semicond...
Sep 13, 2018
By romeres
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...
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 des...
Feb 19, 2019
By jtding
Robotics

Nonlinear Model Predictive Control for Robust Bipedal Locomotion ...

Human beings can make use of various reactive strategies, e.g. foot location adjustment and upper-body inclination, to keep balance while walking u...
Jul 20, 2016
Neural and Evolutionary Computation
Robotics

The encoding of proprioceptive inputs in the brain: knowns and unkn...

Somatosensory inputs can be grossly divided into tactile (or cutaneous) and proprioceptive -- the former conveying information about skin stimulati...
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 B...
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