Tomas Hrycej - RankMe

46 papers A* 2A 2B 4Journal 15Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Convexity-Dependent Two-Phase Training Algorithm for Deep Neural Networks. IC3K (KDIR) Tomas Hrycej, Bernhard Bermeitinger, Massimo Pavone, Götz-Henrik Wiegand, Siegfried Handschuh
2025	J	`jnl`	A Convexity-dependent Two-Phase Training Algorithm for Deep Neural Networks. CoRR Tomas Hrycej, Bernhard Bermeitinger, Massimo Pavone, Götz-Henrik Wiegand, Siegfried Handschuh
2025	—	`conf`	Integrating the Attention Mechanism Into State Space Models. SDS Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh
2024	—	`conf`	Efficient Neural Network Training via Subset Pretraining. KDIR Jan Frederic Spörer, Bernhard Bermeitinger, Tomas Hrycej, Niklas Limacher, Siegfried Handschuh
2024	J	`jnl`	Efficient Neural Network Training via Subset Pretraining. CoRR Jan Frederic Spörer, Bernhard Bermeitinger, Tomas Hrycej, Niklas Limacher, Siegfried Handschuh
2024	—	`conf`	Reducing the Transformer Architecture to a Minimum. KDIR Bernhard Bermeitinger, Tomas Hrycej, Massimo Pavone, Julianus Kath, Siegfried Handschuh
2024	J	`jnl`	Reducing the Transformer Architecture to a Minimum. CoRR Bernhard Bermeitinger, Tomas Hrycej, Massimo Pavone, Julianus Kath, Siegfried Handschuh
2023	—	`conf`	Make Deep Networks Shallow Again. KDIR Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
2023	J	`jnl`	Make Deep Networks Shallow Again. CoRR Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
2022	J	`jnl`	Number of Attention Heads vs Number of Transformer-Encoders in Computer Vision. CoRR Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh
2022	—	`conf`	Number of Attention Heads vs. Number of Transformer-encoders in Computer Vision. KDIR Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh
2022	J	`jnl`	Training Neural Networks in Single vs Double Precision. CoRR Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh
2022	—	`conf`	Training Neural Networks in Single vs. Double Precision. KDIR Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh
2019	J	`jnl`	Representational Capacity of Deep Neural Networks - A Computing Study. CoRR Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
2019	—	`conf`	Representational Capacity of Deep Neural Networks: A Computing Study. KDIR Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
2019	—	`conf`	Singular Value Decomposition and Neural Networks. ICANN (2) Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
2019	J	`jnl`	Singular Value Decomposition and Neural Networks. CoRR Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
2008	—	`ch.`	Extraction of Maximum Support Rules for the Root Cause Analysis. Computational Intelligence in Automotive Applications Tomas Hrycej, Christian Manuel Strobel
2007	—	`conf`	Root Cause Analysis for Quality Management. GfKl Christian Manuel Strobel, Tomas Hrycej
2007	B	`conf`	Warranty Cost Forecast Based on Car Failure Data. IJCNN Tomas Hrycej, Matthias Grabert
2006	—	`conf`	A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive Industry. PKDD Christian Manuel Strobel, Tomas Hrycej
2006	J	`jnl`	Multivariate distribution models with generalized hyperbolic margins. Comput. Stat. Data Anal. Rafael Schmidt, Tomas Hrycej, Eric Stützle
2005	J	`jnl`	Numerical method for estimating multivariate conditional distributions. Comput. Stat. Eric A. Sützle, Tomas Hrycej
2004	A*	`conf`	An Early Warning System for Vehicle Related Quality Data. ICDM Matthias Grabert, Markus Prechtel, Tomas Hrycej, Winfried Günther
2004	—	`conf`	Outlier Detection by Rareness Assumption. GI Jahrestagung (1) Tomas Hrycej, Jochen Hipp
2002	—	`conf`	Estimating Multivariate Conditional Distributions - An Application to the Truck Sales Forecast. OR Eric A. Stützle, Tomas Hrycej
2001	J	`jnl`	Estimates of average complexity of neurocontrol algorithms. Neural Networks Tomas Hrycej
2000	—	`conf`	An Estimate of the Number of Samples to Convergence for Critic Algorithms. IJCNN (3) Tomas Hrycej
2000	—	`conf`	Logit Demand Function with Embedded Neural Network Based Utility Function. IJCNN (5) Wilm Eggert, Tomas Hrycej
1997	B	`conf`	Error measure for identifying chaotic attractors. ESANN Tomas Hrycej
1997	—	`conf`	Global and local optimization in adaptive neurocontrol. ICNN Tomas Hrycej
1995	—	`conf`	Identifying chaotic attractors with neural networks. ICNN Tomas Hrycej
1995	—	`conf`	Stability and equilibrium points in neurocontrol. ICNN Tomas Hrycej
1993	J	`jnl`	A Temporal Extension of Prolog. J. Log. Program. Tomas Hrycej
1993	—	`—`	Methods for decomposition of learning in neural networks. Tomas Hrycej
1992	—	`book`	Modular learning in neural networks - a modularized approach to neural network classification. Tomas Hrycej
1992	J	`jnl`	Supporting supervised learning by self-organization. Neurocomputing Tomas Hrycej
1990	B	`conf`	A modular architecture for efficient learning. IJCNN Tomas Hrycej
1990	J	`jnl`	Gibbs Sampling in Bayesian Networks. Artif. Intell. Tomas Hrycej
1990	B	`conf`	Self-organization by delta rule. IJCNN Tomas Hrycej
1989	A*	`conf`	Unsupervised Learning by Backward Inhibition. IJCAI Tomas Hrycej
1988	A	`conf`	Intelligent Backtracking with Structured Contexts. ECAI Tomas Hrycej
1988	A	`conf`	Temporal Prolog. ECAI Tomas Hrycej
1987	J	`jnl`	A knowledge-based problem-specific program generator. ACM SIGPLAN Notices Tomas Hrycej
1987	—	`conf`	An Efficient Algorithm for Reasoning about Time Intervals. Expertensysteme Tomas Hrycej
1986	—	`conf`	Transitivity in Relations between Time Intervals. Wissensarten und ihre Darstellung Tomas Hrycej