Transitivity in Relations between Time Intervals. - Tomas Hrycej (Wissensarten und ihre Darstellung, 1986)

An Efficient Algorithm for Reasoning about Time Intervals. - Tomas Hrycej (Expertensysteme, 1987)

A knowledge-based problem-specific program generator. - Tomas Hrycej (ACM SIGPLAN Notices, 1987)

Intelligent Backtracking with Structured Contexts. - Tomas Hrycej (ECAI, 1988)

Temporal Prolog. - Tomas Hrycej (ECAI, 1988)

Unsupervised Learning by Backward Inhibition. - Tomas Hrycej (IJCAI, 1989)

A modular architecture for efficient learning. - Tomas Hrycej (IJCNN, 1990)

Self-organization by delta rule. - Tomas Hrycej (IJCNN, 1990)

Gibbs Sampling in Bayesian Networks. - Tomas Hrycej (Artif. Intell., 1990)

Modular learning in neural networks - a modularized approach to neural network classification. - Tomas Hrycej (Wiley, 1992)

Supporting supervised learning by self-organization. - Tomas Hrycej (Neurocomputing, 1992)

A Temporal Extension of Prolog. - Tomas Hrycej (J. Log. Program., 1993)

Methods for decomposition of learning in neural networks. - Tomas Hrycej (1993)

Stability and equilibrium points in neurocontrol. - Tomas Hrycej (ICNN, 1995)

Identifying chaotic attractors with neural networks. - Tomas Hrycej (ICNN, 1995)

Error measure for identifying chaotic attractors. - Tomas Hrycej (ESANN, 1997)

Global and local optimization in adaptive neurocontrol. - Tomas Hrycej (ICNN, 1997)

Logit Demand Function with Embedded Neural Network Based Utility Function. - Wilm Eggert; Tomas Hrycej (IJCNN (5), 2000)

An Estimate of the Number of Samples to Convergence for Critic Algorithms. - Tomas Hrycej (IJCNN (3), 2000)

Estimates of average complexity of neurocontrol algorithms. - Tomas Hrycej (Neural Networks, 2001)

Estimating Multivariate Conditional Distributions - An Application to the Truck Sales Forecast. - Eric A. Stützle; Tomas Hrycej (OR, 2002)

Outlier Detection by Rareness Assumption. - Tomas Hrycej; Jochen Hipp (GI Jahrestagung (1), 2004)

An Early Warning System for Vehicle Related Quality Data. - Matthias Grabert; Markus Prechtel; Tomas Hrycej; Winfried Günther (ICDM, 2004)

Numerical method for estimating multivariate conditional distributions. - Eric A. Sützle; Tomas Hrycej (Comput. Stat., 2005)

A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive Industry. - Christian Manuel Strobel; Tomas Hrycej (PKDD, 2006)

Multivariate distribution models with generalized hyperbolic margins. - Rafael Schmidt; Tomas Hrycej; Eric Stützle (Comput. Stat. Data Anal., 2006)

Root Cause Analysis for Quality Management. - Christian Manuel Strobel; Tomas Hrycej (GfKl, 2007)

Warranty Cost Forecast Based on Car Failure Data. - Tomas Hrycej; Matthias Grabert (IJCNN, 2007)

Extraction of Maximum Support Rules for the Root Cause Analysis. - Tomas Hrycej; Christian Manuel Strobel (Computational Intelligence in Automotive Applications, 2008)

Representational Capacity of Deep Neural Networks: A Computing Study. - Bernhard Bermeitinger; Tomas Hrycej; Siegfried Handschuh (KDIR, 2019)

Singular Value Decomposition and Neural Networks. - Bernhard Bermeitinger; Tomas Hrycej; Siegfried Handschuh (ICANN (2), 2019)

Training Neural Networks in Single vs. Double Precision. - Tomas Hrycej; Bernhard Bermeitinger; Siegfried Handschuh (KDIR, 2022)

Number of Attention Heads vs. Number of Transformer-encoders in Computer Vision. - Tomas Hrycej; Bernhard Bermeitinger; Siegfried Handschuh (KDIR, 2022)

Make Deep Networks Shallow Again. - Bernhard Bermeitinger; Tomas Hrycej; Siegfried Handschuh (KDIR, 2023)

Reducing the Transformer Architecture to a Minimum. - Bernhard Bermeitinger; Tomas Hrycej; Massimo Pavone; Julianus Kath; Siegfried Handschuh (KDIR, 2024)

Efficient Neural Network Training via Subset Pretraining. - Jan Frederic Spörer; Bernhard Bermeitinger; Tomas Hrycej; Niklas Limacher; Siegfried Handschuh (KDIR, 2024)

Integrating the Attention Mechanism Into State Space Models. - Tomas Hrycej; Bernhard Bermeitinger; Siegfried Handschuh (SDS, 2025)