universiteit leiden

research

∙ 08/24/2021

Self-optimizing adaptive optics control with Reinforcement Learning for high-contrast imaging

Current and future high-contrast imaging instruments require extreme ada...

Rico Landman, et al. ∙

research

∙ 06/21/2020

A Modular Hybridization of Particle Swarm Optimization and Differential Evolution

In swarm intelligence, Particle Swarm Optimization (PSO) and Differentia...

Rick Boks, et al. ∙

research

∙ 08/06/2020

Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification

Visible-infrared person re-identification (VI-ReID) is a challenging and...

Nan Pu, et al. ∙

research

∙ 06/01/2021

Value propagation-based spatio-temporal interpolation inspired by Markov reward processes

Given the common problem of missing data in real-world applications from...

Laurens Arp, et al. ∙

research

∙ 05/10/2021

Is there Anisotropy in Structural Bias?

Structural Bias (SB) is an important type of algorithmic deficiency with...

Diederick Vermetten, et al. ∙

research

∙ 03/19/2019

Hyper-Parameter Sweep on AlphaZero General

Since AlphaGo and AlphaGo Zero have achieved breakground successes in th...

Hui Wang, et al. ∙

research

∙ 07/17/2021

High-Accuracy Model-Based Reinforcement Learning, a Survey

Deep reinforcement learning has shown remarkable success in the past few...

Aske Plaat, et al. ∙

research

∙ 06/10/2020

Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability

We investigate a family of (μ+λ) Genetic Algorithms (GAs) which creates ...

Furong Ye, et al. ∙

research

∙ 09/28/2021

Improved prediction rule ensembling through model-based data generation

Prediction rule ensembles (PRE) provide interpretable prediction models ...

Benny Markovitch, et al. ∙

research

∙ 03/15/2020

On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks

Crew pairing optimization (CPO) is critically important for any airline,...

Divyam Aggarwal, et al. ∙

research

∙ 10/14/2018

Assessing the Potential of Classical Q-learning in General Game Playing

After the recent groundbreaking results of AlphaGo and AlphaZero, we hav...

Hui Wang, et al. ∙

research

∙ 03/12/2020

Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?

The landmark achievements of AlphaGo Zero have created great research in...

Hui Wang, et al. ∙

research

∙ 10/30/2017

Super-polynomial and exponential improvements for quantum-enhanced reinforcement learning

Recent work on quantum machine learning has demonstrated that quantum co...

Vedran Dunjko, et al. ∙

research

∙ 10/17/2016

Evolving the Structure of Evolution Strategies

Various variants of the well known Covariance Matrix Adaptation Evolutio...

Sander van Rijn, et al. ∙

research

∙ 09/26/2016

An Ontology of Preference-Based Multiobjective Metaheuristics

User preference integration is of great importance in multi-objective op...

Longmei Li, et al. ∙

research

∙ 12/31/2015

Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control

Constrained optimization of high-dimensional numerical problems plays an...

Samineh Bagheri, et al. ∙

research

∙ 04/19/2017

A multi-method simulation of a high-frequency bus line using AnyLogic

In this work a mixed agent-based and discrete event simulation model is ...

Thierry van der Spek, et al. ∙

research

∙ 02/07/2017

Learning what matters - Sampling interesting patterns

In the field of exploratory data mining, local structure in data can be ...

Vladimir Dzyuba, et al. ∙

research

∙ 02/04/2017

Cluster-based Kriging Approximation Algorithms for Complexity Reduction

Kriging or Gaussian Process Regression is applied in many fields as a no...

Bas van Stein, et al. ∙

research

∙ 11/01/2016

Local Subspace-Based Outlier Detection using Global Neighbourhoods

Outlier detection in high-dimensional data is a challenging yet importan...

Bas van Stein, et al. ∙

research

∙ 10/28/2016

Flexible constrained sampling with guarantees for pattern mining

Pattern sampling has been proposed as a potential solution to the infamo...

Vladimir Dzyuba, et al. ∙

research

∙ 07/11/2017

Multiple Context-Free Tree Grammars: Lexicalization and Characterization

Multiple (simple) context-free tree grammars are investigated, where "si...

Joost Engelfriet, et al. ∙

research

∙ 12/11/2017

Continuous-discrete smoothing of diffusions

Suppose X is a multivariate diffusion process that is observed discretel...

Frank van der Meulen, et al. ∙

research

∙ 12/28/2015

The Module Isomorphism Problem for Finite Rings and Related Results

Let R be a finite ring and let M, N be two finite left R-modules. We pre...

Iuliana Ciocănea-Teodorescu, et al. ∙

research

∙ 03/23/2016

BEANS - a software package for distributed Big Data analysis

BEANS software is a web based, easy to install and maintain, new tool to...

Arkadiusz Hypki, et al. ∙

research

∙ 10/14/2015

Sapporo2: A versatile direct N-body library

Astrophysical direct N-body methods have been one of the first productio...

Jeroen Bédorf, et al. ∙

research

∙ 08/16/2017

On residual and guided proposals for diffusion bridge simulation

Recently Whitaker et al. (2017) considered Bayesian estimation of diffus...

Frank van der Meulen, et al. ∙

research

∙ 12/22/2016

ScienceWISE: Topic Modeling over Scientific Literature Networks

We provide an up-to-date view on the knowledge management system Science...

Andrea Martini, et al. ∙

research

∙ 01/08/2018

Benchmarking Crimes: An Emerging Threat in Systems Security

Properly benchmarking a system is a difficult and intricate task. Unfort...

Erik van der Kouwe, et al. ∙

research

∙ 01/30/2018

Nonparametric Bayesian volatility estimation

Given discrete time observations over a fixed time interval, we study a ...

Shota Gugushvili, et al. ∙

research

∙ 02/08/2018

Smart energy management as a means towards improved energy efficiency

The costs associated with refrigerator equipment often represent more th...

Dylan te Lindert, et al. ∙

research

∙ 02/09/2018

Asymptotic nonequivalence of density estimation and Gaussian white noise for small densities

It is well-known that density estimation on the unit interval is asympto...

Kolyan Ray, et al. ∙

research

∙ 02/13/2018

Examining the Tip of the Iceberg: A Data Set for Idiom Translation

Neural Machine Translation (NMT) has been widely used in recent years wi...

Marzieh Fadaee, et al. ∙

research

∙ 02/25/2018

Bayesian inverse problems with partial observations

We study a nonparametric Bayesian approach to linear inverse problems un...

Shota Gugushvili, et al. ∙

research

∙ 03/09/2018

The Importance of Being Recurrent for Modeling Hierarchical Structure

Recent work has shown that recurrent neural networks (RNNs) can implicit...

Ke Tran, et al. ∙

research

∙ 04/03/2018

Adaptive distributed methods under communication constraints

We study distributed estimation methods under communication constraints ...

Botond Szabo, et al. ∙

research

∙ 04/06/2018

A comparison of deep networks with ReLU activation function and linear spline-type methods

Deep neural networks (DNNs) generate much richer function spaces than sh...

Konstantin Eckle, et al. ∙

research

∙ 04/10/2018

Fast and scalable non-parametric Bayesian inference for Poisson point processes

We study the problem of non-parametric Bayesian estimation of the intens...

Shota Gugushvili, et al. ∙

research

∙ 04/16/2018

Building robust prediction models for defective sensor data using Artificial Neural Networks

Predicting the health of components in complex dynamic systems such as a...

Arvind Kumar Shekar, et al. ∙

research

∙ 04/30/2018

Author-topic profiles for academic search

We implemented and evaluated a two-stage retrieval method for personaliz...

Suzan Verberne, et al. ∙

research

∙ 04/30/2018

Nonparametric Bayesian inference for Lévy subordinators

Given discrete time observations over a growing time interval, we consid...

Denis Belomestny, et al. ∙

research

∙ 05/15/2018

Nonparametric Bayesian volatility learning under microstructure noise

Aiming at financial applications, we study the problem of learning the v...

Shota Gugushvili, et al. ∙

research

∙ 07/03/2018

Stochastic Constraint Optimization using Propagation on Ordered Binary Decision Diagrams

A number of problems in relational Artificial Intelligence can be viewed...

Anna L. D. Latour, et al. ∙

research

∙ 07/16/2018

Computing Minimum Weight Cycles to Leverage Mispricings in Cryptocurrency Market Networks

Cryptocurrencies such as Bitcoin and Ethereum have recently gained a lot...

Francesco Bortolussi, et al. ∙

research

∙ 07/24/2018

Computational speedups using small quantum devices

Suppose we have a small quantum computer with only M qubits. Can such a ...

Vedran Dunjko, et al. ∙

research

∙ 08/13/2018

Semiparametric Bayesian causal inference using Gaussian process priors

We develop a semiparametric Bayesian approach for estimating the mean re...

Kolyan Ray, et al. ∙

research

∙ 08/23/2018

Spike and slab empirical Bayes sparse credible sets

In the sparse normal means model, coverage of adaptive Bayesian posterio...

Ismaël Castillo, et al. ∙

research

∙ 09/07/2018

Computational astrophysics for the future: An open, modular approach with agreed standards would facilitate astrophysical discovery

Scientific discovery is mediated by ideas that, after being formulated i...

Simon Portegies Zwart, et al. ∙

research

∙ 09/07/2018

Non-Technical Individual Skills are Weakly Connected to the Maturity of Agile Practices

Context: Existing knowledge in agile software development suggests that ...

Lucas Gren, et al. ∙

research

∙ 09/07/2018

Posterior consistency for n in the binomial (n,p) problem with both parameters unknown - with applications to quantitative nanoscopy

The estimation of the population size n from k i.i.d. binomial observati...

Laura Fee Schneider, et al. ∙

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