Lars Kotthoff | DeepAI

DeepAI AI Chat

Featured Co-authors

Frank Hutter
116 publications
Bernd Bischl
93 publications
Anh Nguyen
80 publications
Marius Lindauer
55 publications
Pooyan Jamshidi
44 publications
Joaquin Vanschoren
43 publications
Kevin Leyton-Brown
36 publications
Luc De Raedt
34 publications
Pascal Kerschke
23 publications
Tias Guns
23 publications
Florian Pfisterer
22 publications

∙ 05/25/2022

How explainable are adversarially-robust CNNs?

Three important criteria of existing convolutional neural networks (CNNs...

7 Mehdi Nourelahi, et al. ∙

∙ 11/29/2021

Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers

Automated hyperparameter optimization (HPO) has gained great popularity ...

0 Julia Moosbauer, et al. ∙

∙ 07/29/2021

Bayesian Optimization in Materials Science: A Survey

Bayesian optimization is used in many areas of AI for the optimization o...

0 Lars Kotthoff, et al. ∙

∙ 07/29/2021

Modeling and Optimizing Laser-Induced Graphene

A lot of technological advances depend on next-generation materials, suc...

0 Lars Kotthoff, et al. ∙

∙ 01/18/2020

FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks

One of the key challenges in designing machine learning systems is to de...

21 Md Shahriar Iqbal, et al. ∙

∙ 04/04/2019

Transfer Learning for Performance Modeling of Deep Neural Network Systems

Modern deep neural network (DNN) systems are highly configurable with la...

0 Md Shahriar Iqbal, et al. ∙

∙ 05/03/2018

The Algorithm Selection Competition Series 2015-17

The algorithm selection problem is to choose the most suitable algorithm...

0 Marius Lindauer, et al. ∙

∙ 07/11/2017

Hot-Rodding the Browser Engine: Automatic Configuration of JavaScript Compilers

Modern software systems in many application areas offer to the user a mu...

0 Chris Fawcett, et al. ∙

∙ 11/12/2015

ICON Challenge on Algorithm Selection

We present the results of the ICON Challenge on Algorithm Selection....

0 Lars Kotthoff, et al. ∙

∙ 10/12/2015

The Inductive Constraint Programming Loop

Constraint programming is used for a variety of real-world optimisation ...

0 Christian Bessiere, et al. ∙

∙ 06/08/2015

ASlib: A Benchmark Library for Algorithm Selection

The task of algorithm selection involves choosing an algorithm from a se...

0 Bernd Bischl, et al. ∙

∙ 11/18/2013

Ranking Algorithms by Performance

A common way of doing algorithm selection is to train a machine learning...

0 Lars Kotthoff, et al. ∙

∙ 06/24/2013

Proteus: A Hierarchical Portfolio of Solvers and Transformations

In recent years, portfolio approaches to solving SAT problems and CSPs h...

0 Barry Hurley, et al. ∙

∙ 06/05/2013

LLAMA: Leveraging Learning to Automatically Manage Algorithms

Algorithm portfolio and selection approaches have achieved remarkable im...

0 Lars Kotthoff, et al. ∙

∙ 10/30/2012

Algorithm Selection for Combinatorial Search Problems: A Survey

The Algorithm Selection Problem is concerned with selecting the best alg...

0 Lars Kotthoff, et al. ∙

∙ 09/18/2012

Qualitative Modelling via Constraint Programming: Past, Present and Future

Qualitative modelling is a technique integrating the fields of theoretic...

0 Thomas W. Kelsey, et al. ∙

∙ 09/16/2012

A framework for large-scale distributed AI search across disconnected heterogeneous infrastructures

We present a framework for a large-scale distributed eScience Artificial...

0 Lars Kotthoff, et al. ∙

∙ 10/28/2011

Modelling Constraint Solver Architecture Design as a Constraint Problem

Designing component-based constraint solvers is a complex problem. Some ...

0 Ian P. Gent, et al. ∙

∙ 08/25/2010

Distributed solving through model splitting

Constraint problems can be trivially solved in parallel by exploring dif...

0 Lars Kotthoff, et al. ∙

∙ 08/25/2010

Machine learning for constraint solver design -- A case study for the alldifferent constraint

Constraint solvers are complex pieces of software which require many des...

0 Ian Gent, et al. ∙

∙ 05/19/2010

Using machine learning to make constraint solver implementation decisions

Programs to solve so-called constraint problems are complex pieces of so...

0 Lars Kotthoff, et al. ∙

∙ 05/01/2010

The Exact Closest String Problem as a Constraint Satisfaction Problem

We report (to our knowledge) the first evaluation of Constraint Satisfac...

0 Tom Kelsey, et al. ∙

∙ 01/31/2010

Dominion -- A constraint solver generator

This paper proposes a design for a system to generate constraint solvers...

0 Lars Kotthoff, et al. ∙

∙ 01/31/2010

Constraint solvers: An empirical evaluation of design decisions

This paper presents an evaluation of the design decisions made in four s...

0 Lars Kotthoff, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world