Bernhard C. Geiger

Comput. Ind. Eng., June, 2023

Reconsidering Read and Spontaneous Speech: Causal Perspectives on the Generation of Training Data for Automatic Speech Recognition.

[BibT_eX]

[DOI]

Inf., February, 2023

On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Cluster Purging: Efficient Outlier Detection Based on Rate-Distortion Theory.

[BibT_eX]

[DOI]

Maximilian Toller

Roman Kern

IEEE Trans. Knowl. Data Eng., 2023

Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes.

[BibT_eX]

[DOI]

Franz M. Rohrhofer

Stefan Posch

Clemens Gößnitzer

José M. García-Oliver

CoRR, 2023

Finding the Optimum Design of Large Gas Engines Prechambers Using CFD and Bayesian Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks.

[BibT_eX]

[DOI]

IEEE Access, 2023

Information Plane Analysis for Dropout Neural Networks.

[BibT_eX]

[DOI]

Linara Adilova

Asja Fischer

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Markov Aggregation for Speeding Up Agent-Based Movement Simulations.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

On Information Plane Analyses of Neural Network Classifiers - A Review.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation.

[BibT_eX]

[DOI]

Kairen Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

Estimation of Combustion Parameters from Engine Vibrations Based on Discrete Wavelet Transform and Gradient Boosting.

[BibT_eX]

[DOI]

Sensors, 2022

Synwalk: community detection via random walk modelling.

[BibT_eX]

[DOI]

Christian Toth

Denis Helic

Data Min. Knowl. Discov., 2022

FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning.

[BibT_eX]

[DOI]

João Machado de Freitas

CoRR, 2022

Information-Theoretic Reduction of Markov Chains.

[BibT_eX]

[DOI]

CoRR, 2022

Understanding the Difficulty of Training Physics-Informed Neural Networks on Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Knock Detection in Combustion Engine Time Series Using a Theory-Guided 1D Convolutional Neural Network Approach.

[BibT_eX]

[DOI]

CoRR, 2022

Generating Simple Directed Social Network Graphs for Information Spreading.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Semi-supervised clustering via information-theoretic markov chain aggregation.

[BibT_eX]

[DOI]

Sophie Steger

Marek Smieja

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering.

[BibT_eX]

[DOI]

João Machado de Freitas

Sebastian Berg

Manfred Mücke

Proceedings of the International Joint Conference on Neural Networks, 2022

Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2022, 2022

2021

SeGMA: Semi-Supervised Gaussian Mixture Autoencoder.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

A Geometric Perspective on Information Plane Analysis.

[BibT_eX]

[DOI]

Mina Basirat

Peter M. Roth

Entropy, 2021

Semi-Supervised Clustering via Markov Chain Aggregation.

[BibT_eX]

[DOI]

Sophie Steger

Marek Smieja

CoRR, 2021

On the Pareto Front of Physics-Informed Neural Networks.

[BibT_eX]

[DOI]

Franz M. Rohrhofer

Stefan Posch

CoRR, 2021

Importance of feature engineering and database selection in a machine learning model: A case study on carbon crystal structures.

[BibT_eX]

[DOI]

Wolfgang von der Linden

Lilia Boeri

CoRR, 2021

2020

A Generalized Framework For Kullback-Leibler Markov Aggregation.

[BibT_eX]

[DOI]

Clemens Blöchl

IEEE Trans. Autom. Control., 2020

Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Information Bottleneck: Theory and Applications in Deep Learning.

[BibT_eX]

[DOI]

Entropy, 2020

A Comparison of Variational Bounds for the Information Bottleneck Functional.

[BibT_eX]

[DOI]

Ian S. Fischer

Entropy, 2020

A Formally Robust Time Series Distance Metric.

[BibT_eX]

[DOI]

Maximilian Toller

Roman Kern

CoRR, 2020

Text sentiment in the Age of Enlightenment: an analysis of spectator periodicals.

[BibT_eX]

[DOI]

Appl. Netw. Sci., 2020

A generative semi-supervised classifier for datasets with unknown classes.

[BibT_eX]

[DOI]

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

On Functions of Markov Random Fields.

[BibT_eX]

[DOI]

Francisco Javier Nieto de Santos

Ali Al-Bashabsheh

Proceedings of the IEEE Information Theory Workshop, 2020

Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2020, 2020

"To be or not to be central" - On the Stability of Network Centrality Measures in Shakespeare's "Hamlet".

[BibT_eX]

[DOI]

Anastasia Klimashevskaia

Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020

Behind the Scenes of the Spectators: Uncovering Anonymous Authors in Periodicals of the Enlightenment.

[BibT_eX]

[DOI]

Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020

Das Theater mit dem Theater: Thementransfer in den Spectators.

[BibT_eX]

[DOI]

Proceedings of the 7. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2020

2019

Co-Clustering via Information-Theoretic Markov Aggregation.

[BibT_eX]

[DOI]

Clemens Blöchl

IEEE Trans. Knowl. Data Eng., 2019

On the Information Dimension of Stochastic Processes.

[BibT_eX]

[DOI]

Tobias Koch

IEEE Trans. Inf. Theory, 2019

SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder.

[BibT_eX]

[DOI]

CoRR, 2019

Class-Conditional Compression and Disentanglement: Bridging the Gap between Neural Networks and Naive Bayes Classifiers.

[BibT_eX]

[DOI]

CoRR, 2019

2018

A Rate-Distortion Approach to Caching.

[BibT_eX]

[DOI]

Roy Timo

Shirin Saeedi Bidokhti

Michèle A. Wigger

IEEE Trans. Inf. Theory, 2018

The Fractality of Polar and Reed-Muller Codes.

[BibT_eX]

[DOI]

Entropy, 2018

A Short Note on the Jensen-Shannon Divergence between Simple Mixture Distributions.

[BibT_eX]

[DOI]

CoRR, 2018

Understanding Individual Neuron Importance Using Information Theory.

[BibT_eX]

[DOI]

Kairen Liu

CoRR, 2018

How (Not) To Train Your Neural Network Using the Information Bottleneck Principle.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Semi-supervised cross-entropy clustering with information bottleneck constraint.

[BibT_eX]

[DOI]

Marek Smieja

Inf. Sci., 2017

On the Information Dimension of Multivariate Gaussian Processes.

[BibT_eX]

[DOI]

Tobias Koch

CoRR, 2017

Divergence scaling of fixed-length, binary-output, one-to-one distribution matching.

[BibT_eX]

[DOI]

Patrick Schulte

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

On the information dimension rate of stochastic processes.

[BibT_eX]

[DOI]

Tobias Koch

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Secret-key binding to physical identifiers with reliability guarantees.

[BibT_eX]

[DOI]

Onur Günlü

Anes Belkacem

Proceedings of the IEEE International Conference on Communications, 2017

2016

Optimal Quantization for Distribution Synthesis.

[BibT_eX]

[DOI]

Georg Bocherer

IEEE Trans. Inf. Theory, 2016

The Magnitude Response Learning Tool for DSP Education: A Case Study.

[BibT_eX]

[DOI]

Florian Kulmer

Christian Gun Wurzer

IEEE Trans. Educ., 2016

Information-Theoretic Analysis of Memoryless Deterministic Systems.

[BibT_eX]

[DOI]

Entropy, 2016

Greedy Algorithms for Optimal Distribution Approximation.

[BibT_eX]

[DOI]

Georg Böcherer

Entropy, 2016

Higher-Order Kullback-Leibler Aggregation of Markov Chains.

[BibT_eX]

[DOI]

Yuchen Wu

CoRR, 2016

Hard Clusters Maximize Mutual Information.

[BibT_eX]

[DOI]

CoRR, 2016

Graph-based lossless Markov lumpings.

[BibT_eX]

[DOI]

Christoph Hofer-Temmel

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

Optimal Kullback-Leibler Aggregation via Information Bottleneck.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2015

The Muculants - a Higher-Order Statistical Approach.

[BibT_eX]

[DOI]

Christian Knoll

CoRR, 2015

2014

Lumpings of Markov Chains, Entropy Rate Preservation, and Higher-Order Lumpability.

[BibT_eX]

[DOI]

Christoph Temmel

J. Appl. Probab., 2014

Information-maximizing prefilters for quantization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

A Matlab-based magnitude response game for DSP education.

[BibT_eX]

[DOI]

Peter Casapicola

Markus Polzl

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Influence of Doppler Bin Width on GPS Acquisition Probabilities.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2013

On the Rate of Information Loss in Memoryless Systems

[BibT_eX]

[DOI]

CoRR, 2013

Towards an information-theoretic system theory

[BibT_eX]

[DOI]

CoRR, 2013

Information Loss and Anti-Aliasing Filters in Multirate Systems.

[BibT_eX]

[DOI]

CoRR, 2013

Optimal M-Type Quantizations of Distributions.

[BibT_eX]

[DOI]

Georg Böcherer

CoRR, 2013

Greedy Part-Wise Learning of Sum-Product Networks.

[BibT_eX]

[DOI]

Robert Peharz

Franz Pernkopf

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Information-preserving Markov aggregation.

[BibT_eX]

[DOI]

Christoph Temmel

Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Double pitch marks in diplophonic voice.

[BibT_eX]

[DOI]

Philipp Aichinger

Berit Schneider-Stickler

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Comparison Between Ratio Detection and Threshold Comparison for GNSS Acquisition.

[BibT_eX]

[DOI]

Michael Soudan

IEEE Trans. Aerosp. Electron. Syst., 2012

Lumped Markov chains and entropy rate

[BibT_eX]

[DOI]

Christoph Temmel

CoRR, 2012

Signal Enhancement as Minimization of Relevant Information Loss

[BibT_eX]

[DOI]

CoRR, 2012

Relative Information Loss - An Introduction

[BibT_eX]

[DOI]

CoRR, 2012

Relative information loss in the PCA.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Information Theory Workshop, 2012

Capacity and capacity-achieving input distribution of the energy detector.

[BibT_eX]

[DOI]

Erik Leitinger

Klaus Witrisal

Proceedings of the IEEE International Conference on Ultra-Wideband, 2012

2011

Comparison of link selection algorithms for free space optics/radio frequency hybrid network.

[BibT_eX]

[DOI]

Farukh Nadeem

Erich Leitgeb

Sajid Sheikh Muhammad

Markus Löschnigg

Gorazd Kandus

IET Commun., 2011

On the Information Loss in Memoryless Systems: The Multivariate Case

[BibT_eX]

[DOI]

CoRR, 2011

Influence of Doppler Bin Width on GNSS Detection Probabilities

[BibT_eX]

[DOI]

CoRR, 2011

Some results on the information loss in dynamical systems.

[BibT_eX]

[DOI]

Proceedings of the 8th International Symposium on Wireless Communication Systems, 2011

Information loss in static nonlinearities.

[BibT_eX]

[DOI]

Christian Feldbauer

Proceedings of the 8th International Symposium on Wireless Communication Systems, 2011

2010

On the detection probability of parallel code phase search algorithms in GPS receivers.

[BibT_eX]

[DOI]

Michael Soudan