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05/25/2022
How explainable are adversarially-robust CNNs?
Three important criteria of existing convolutional neural networks (CNNs...
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11/29/2021
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers
Automated hyperparameter optimization (HPO) has gained great popularity ...
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07/29/2021
Bayesian Optimization in Materials Science: A Survey
Bayesian optimization is used in many areas of AI for the optimization o...
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07/29/2021
Modeling and Optimizing Laser-Induced Graphene
A lot of technological advances depend on next-generation materials, suc...
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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...
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04/04/2019
Transfer Learning for Performance Modeling of Deep Neural Network Systems
Modern deep neural network (DNN) systems are highly configurable with la...
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05/03/2018
The Algorithm Selection Competition Series 2015-17
The algorithm selection problem is to choose the most suitable algorithm...
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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...
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11/12/2015
ICON Challenge on Algorithm Selection
We present the results of the ICON Challenge on Algorithm Selection....
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10/12/2015
The Inductive Constraint Programming Loop
Constraint programming is used for a variety of real-world optimisation ...
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06/08/2015
ASlib: A Benchmark Library for Algorithm Selection
The task of algorithm selection involves choosing an algorithm from a se...
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11/18/2013
Ranking Algorithms by Performance
A common way of doing algorithm selection is to train a machine learning...
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06/24/2013
Proteus: A Hierarchical Portfolio of Solvers and Transformations
In recent years, portfolio approaches to solving SAT problems and CSPs h...
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06/05/2013
LLAMA: Leveraging Learning to Automatically Manage Algorithms
Algorithm portfolio and selection approaches have achieved remarkable im...
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10/30/2012
Algorithm Selection for Combinatorial Search Problems: A Survey
The Algorithm Selection Problem is concerned with selecting the best alg...
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09/18/2012
Qualitative Modelling via Constraint Programming: Past, Present and Future
Qualitative modelling is a technique integrating the fields of theoretic...
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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...
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10/28/2011
Modelling Constraint Solver Architecture Design as a Constraint Problem
Designing component-based constraint solvers is a complex problem. Some ...
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08/25/2010
Distributed solving through model splitting
Constraint problems can be trivially solved in parallel by exploring dif...
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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...
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05/19/2010
Using machine learning to make constraint solver implementation decisions
Programs to solve so-called constraint problems are complex pieces of so...
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05/01/2010
The Exact Closest String Problem as a Constraint Satisfaction Problem
We report (to our knowledge) the first evaluation of Constraint Satisfac...
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01/31/2010
Dominion -- A constraint solver generator
This paper proposes a design for a system to generate constraint solvers...
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01/31/2010
