Publications associées à Nonlinear dimensionality reduction

Chemiscope: interactive structure-property explorer for materials and molecules

Michele Ceriotti, Guillaume André Jean Fraux

The number of materials or molecules that can be created by combining different chemical elements in various proportions and spatial arrangements is enormous. Computational chemistry can be used to generate databases containing billions of potential struct ...

2020

MATHICSE Technical Report: Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates

Fabio Nobile, Davide Pradovera

We propose a model order reduction approach for non-intrusive surrogate modeling of parametric dynamical systems. The reduced model over the whole parameter space is built by combining surrogates in frequency only, built at few selected values of the param ...

MATHICSE2020

Memory of Motion for Warm-Starting Trajectory Optimization

Sylvain Calinon, Emmanuel Pignat, Antonio Paolillo, Teguh Santoso Lembono

Trajectory optimization for motion planning requires good initial guesses to obtain good performance. In our proposed approach, we build a memory of motion based on a database of robot paths to provide good initial guesses. The memory of motion relies on f ...

2020

Common Information Components Analysis

Michael Christoph Gastpar, Erixhen Sula

We give an information-theoretic interpretation of Canonical Correlation Analysis (CCA) via (relaxed) Wyner's common information. CCA permits to extract from two high-dimensional data sets low-dimensional descriptions (features) that capture the commonalit ...

IEEE2020

Multiple Magnetic Bilayers and Unconventional Criticality without Frustration in BaCuSi2O6

Frédéric Mila, Bruce Normand, Christian Rüegg, Gregory Scott Tucker, Nicolas Laflorencie

The dimerized quantum magnet BaCuSi2O6 was proposed as an example of "dimensional reduction" arising near the magnetic-field-induced quantum critical point (QCP) due to perfect geometrical frustration of its interbilayer interactions. We demonstrate by hig ...

AMER PHYSICAL SOC2020

Protecting Mobile Food Diaries from Getting too Personal

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

Smartphone applications that use passive sensing to support human health and well-being primarily rely on: (a) generating low-dimensional representations from high-dimensional data streams; (b) making inferences regarding user behavior; and (c) using those ...

Association for Computing Machinery2020

Joint Segmentation and Path Classification of Curvilinear Structures

Pascal Fua, Agata Justyna Mosinska, Mateusz Kozinski

Detection of curvilinear structures in images has long been of interest. One of the most challenging aspects of this problem is inferring the graph representation of the curvilinear network. Most existing delineation approaches first perform binary segment ...

2020

Oblivious Sketching of High-Degree Polynomial Kernels

Mikhail Kapralov, Amir Zandieh

Kernel methods are fundamental tools in machine learning that allow detection of non-linear dependencies between data without explicitly constructing feature vectors in high dimensional spaces. A major disadvantage of kernel methods is their poor scalabili ...

ASSOC COMPUTING MACHINERY2020

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Nonlinear dimensionality reduction

Recoloring subgraphs of K-2n for sports scheduling

Chemiscope: interactive structure-property explorer for materials and molecules

MOSES: A Streaming Algorithm for Linear Dimensionality Reduction

MATHICSE Technical Report: Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates

Memory of Motion for Warm-Starting Trajectory Optimization

Common Information Components Analysis

Multiple Magnetic Bilayers and Unconventional Criticality without Frustration in BaCuSi2O6

Protecting Mobile Food Diaries from Getting too Personal

Joint Segmentation and Path Classification of Curvilinear Structures

Oblivious Sketching of High-Degree Polynomial Kernels

Graph Chatbot

Chattez avec Graph Search

Recoloring subgraphs of K-2n for sports scheduling

Chemiscope: interactive structure-property explorer for materials and molecules

Common Information Components Analysis

Joint Segmentation and Path Classification of Curvilinear Structures

MOSES: A Streaming Algorithm for Linear Dimensionality Reduction

Memory of Motion for Warm-Starting Trajectory Optimization

Protecting Mobile Food Diaries from Getting too Personal

MATHICSE Technical Report: Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates

Multiple Magnetic Bilayers and Unconventional Criticality without Frustration in BaCuSi2O6

Oblivious Sketching of High-Degree Polynomial Kernels