Publications related to epsilon-Coresets for Clustering (with Outliers) in Doubling Metrics

AIFORE: Smart Fuzzing Based on Automatic Input Format Reverse Engineering

Mathias Josef Payer, Zhiyao Feng, Chunmin Zhang, Ji Shi

Knowledge of a program's input format is essential for effective input generation in fuzzing. Automated input format reverse engineering represents an attractive but challenging approach to learning the format. In this paper, we address several challenges ...

Berkeley2023

Landscapes of DNA Mechanics and Genomes

Thomas Antonin Zwahlen

The local physical properties - such as shape and flexibility - of the DNA double-helix is today widely believed to be influenced by nucleic acid sequence in a non-trivial way. Furthermore, there is strong evidence that these properties play a role in many ...

EPFL2023

Reconstructing lensless image with ML models and deploying them onto embedded systems

Jonathan Philippe Reymond

Lensless imaging provides a large panel of benefits : cost, size, weight, etc., that are crucial for wearable application, IoT or medical devices. Such setups require the design of reconstruction algorithms to recover the image from the captured measuremen ...

2023

Moments of the number of points in a bounded set for number field lattices

Maryna Viazovska, Vlad Serban, Nihar Prakash Gargava

We examine the moments of the number of lattice points in a fixed ball of volume

V

for lattices in Euclidean space which are modules over the ring of integers of a number field

K

. In particular, denoting by

ω_K

the number of roots of unity in

K

, we ...

arXiv2023

Environment rather than breed or body site shapes the skin bacterial community of healthy sheep as revealed by metabarcoding

Christof Holliger, Alexander Mathis, Emmanuelle Rohrbach, Laetitia Janine Andrée Cardona

Background: The skin is inhabited by a variety of micro-organisms, with bacteria representing the predominant taxon of the skin microbiome. In sheep, the skin bacterial community of healthy animals has been addressed in few studies, only with culture-based ...

2023

A structured prediction approach for robot imitation learning

Aude Billard, Iason Batzianoulis, Anqing Duan

We propose a structured prediction approach for robot imitation learning from demonstrations. Among various tools for robot imitation learning, supervised learning has been observed to have a prominent role. Structured prediction is a form of supervised le ...

London2023

Preserved Corticospinal Tract Revealed by Acute Perfusion Imaging Relates to Better Outcome After Thrombectomy in Stroke

Friedhelm Christoph Hummel, Philipp Johannes Koch

BACKGROUND:The indication for mechanical thrombectomy (MT) in stroke patients with large vessel occlusion has been constantly expanded over the past years. Despite remarkable treatment effects at the group level in clinical trials, many patients remain sev ...

Philadelphia2023

Fast parametric analysis of trimmed multi-patch isogeometric Kirchhoff-Love shells using a local reduced basis method

Annalisa Buffa, Pablo Antolin Sanchez, Margarita Chasapi

This contribution presents a model order reduction framework for real-time efficient solution of trimmed, multi-patch isogeometric Kirchhoff-Love shells. In several scenarios, such as design and shape optimization, multiple simulations need to be performed ...

2023

Retraction-based numerical methods for continuation, interpolation and time integration on manifolds

Axel Elie Joseph Séguin

The goal of this thesis is the development and the analysis of numerical methods for problems where the unknown is a curve on a smooth manifold. In particular, the thesis is structured around the three following problems: homotopy continuation, curve inter ...

EPFL2023

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Sabine Süsstrunk, Mathieu Salzmann, Yulun Jiang, Chen Liu, Zhuoyi Huang

We address the problem of stably and efficiently training a deep neural network robust to adversarial perturbations bounded by an

l_1

norm. We demonstrate that achieving robustness against

l_1

-bounded perturbations is more challenging than in the

l_2

...

2023

epsilon-Coresets for Clustering (with Outliers) in Doubling Metrics

Graph Chatbot

Chat with Graph Search

AIFORE: Smart Fuzzing Based on Automatic Input Format Reverse Engineering

Landscapes of DNA Mechanics and Genomes

Reconstructing lensless image with ML models and deploying them onto embedded systems

Moments of the number of points in a bounded set for number field lattices

Environment rather than breed or body site shapes the skin bacterial community of healthy sheep as revealed by metabarcoding

A structured prediction approach for robot imitation learning

Preserved Corticospinal Tract Revealed by Acute Perfusion Imaging Relates to Better Outcome After Thrombectomy in Stroke

Fast parametric analysis of trimmed multi-patch isogeometric Kirchhoff-Love shells using a local reduced basis method

Retraction-based numerical methods for continuation, interpolation and time integration on manifolds

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

AIFORE: Smart Fuzzing Based on Automatic Input Format Reverse Engineering

Reconstructing lensless image with ML models and deploying them onto embedded systems

Moments of the number of points in a bounded set for number field lattices

Landscapes of DNA Mechanics and Genomes

Environment rather than breed or body site shapes the skin bacterial community of healthy sheep as revealed by metabarcoding

A structured prediction approach for robot imitation learning

Preserved Corticospinal Tract Revealed by Acute Perfusion Imaging Relates to Better Outcome After Thrombectomy in Stroke

Fast parametric analysis of trimmed multi-patch isogeometric Kirchhoff-Love shells using a local reduced basis method

Retraction-based numerical methods for continuation, interpolation and time integration on manifolds

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks