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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...
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...
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...
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...
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...
Sep 06, 2018
Robotics

A Benchmarking of DCM Based Architectures for Position and Velocity...

This paper contributes towards the development and comparison of Divergent-Component-of-Motion (DCM) based control architectures for humanoid robot...
Mar 16, 2018
Computer Vision

In this paper, we address the problem of jointly learn vision and language to understand objects in the fine-grained manner. By integrating natural language, we provide a detailed understanding of the object through its caption, while still is abl...

Object Captioning and Retrieval with Natural Language

We address the problem of jointly learning vision and language to understand the object in a fine-grained manner. The key idea of our approach is t...
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