Jörn Grahl

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 7

Top Topics

Contrastive Divergence

Deep Belief Networks

Restricted Boltzmann Machine

Top Venues

Inf. Syst. Res.

Ann. Oper. Res.

Publications

Andreas Fügener, Jörn Grahl, Alok Gupta, Wolfgang Ketter
Cognitive Challenges in Human-Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation. Inf. Syst. Res. 33 (2) (2022)
Xitong Li, Jörn Grahl, Oliver Hinz
How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment. Inf. Syst. Res. 33 (2) (2022)
Andreas Fügener, Jörn Grahl, Alok Gupta, Wolfgang Ketter
Will Humans-in-the-Loop Become Borgs? Merits and Pitfalls of Working with AI. MIS Q. 45 (3) (2021)
Andreas Fügener, Jörn Grahl, Alok Gupta, Wolfgang Ketter, Anna Taudien
Exploring User Heterogeneity in Human Delegation Behavior towards AI. ICIS (2021)
Malte Probst, Franz Rothlauf, Jörn Grahl
Scalability of using Restricted Boltzmann Machines for combinatorial optimization. Eur. J. Oper. Res. 256 (2) (2017)
Pascal Budner, Jörn Grahl
Collaboration Networks in the Music Industry. CoRR (2016)
Jörn Grahl, Stefan Minner, Daniel Dittmar
Meta-heuristics for placing strategic safety stock in multi-echelon inventory with differentiated service times. Ann. Oper. Res. 242 (2) (2016)
Malte Probst, Franz Rothlauf, Jörn Grahl
An implicitly parallel EDA based on restricted boltzmann machines. GECCO (2014)
Sebastian Herrmann, Jörn Grahl, Franz Rothlauf
Problem Complexity in Parallel Problem Solving. CoRR (2014)
Malte Probst, Franz Rothlauf, Jörn Grahl
Scalability of using Restricted Boltzmann Machines for Combinatorial Optimization. CoRR (2014)
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
Benchmarking Parameter-Free AMaLGaM on Functions With and Without Noise. Evol. Comput. 21 (3) (2013)
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
AMaLGaM IDEAs in noisy black-box optimization benchmarking. GECCO (Companion) (2009)
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
AMaLGaM IDEAs in noiseless black-box optimization benchmarking. GECCO (Companion) (2009)
Peter A. N. Bosman, Jörn Grahl
Matching inductive search bias and problem structure in continuous Estimation-of-Distribution Algorithms. Eur. J. Oper. Res. 185 (3) (2008)
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift. PPSN (2008)
Jörn Grahl, Peter A. N. Bosman, Stefan Minner
Convergence phases, variance trajectories, and runtime analysis of continuous EDAs. GECCO (2007)
Peter A. N. Bosman, Jörn Grahl, Franz Rothlauf
SDR: a better trigger for adaptive variance scaling in normal EDAs. GECCO (2007)
Thomas Butter, Franz Rothlauf, Jörn Grahl, Tobias Hildenbrand, Jens Arndt
Genetic Algorithms for Finding Optimal Strategies for a Student's Game. CIG (2007)
Jörn Grahl, Peter A. N. Bosman, Franz Rothlauf
The correlation-triggered adaptive variance scaling IDEA. GECCO (2006)
Thomas Butter, Franz Rothlauf, Jörn Grahl, Tobias Hildenbrand, Jens Arndt
Genetic algorithms and mixed integer linear programs for optimal strategies in a student's "sports" activity. GECCO (2006)
Jörn Grahl, Stefan Minner, Franz Rothlauf
with truncation selection on monotonous functions. Congress on Evolutionary Computation (2005)
Jörn Grahl, Franz Rothlauf
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints. GECCO (1) (2004)