Bernhard C. Geiger

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 81

Top Venues

CoRR

Entropy

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Inf. Theory

Publications

Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
Approximating Families of Sharp Solutions to Fisher's Equation with Physics-Informed Neural Networks. CoRR (2024)
Maximilian Toller, Hussain Hussain, Bernhard C. Geiger
Activation Bottleneck: Sigmoidal Neural Networks Cannot Forecast a Straight Line. CoRR (2024)
Maximilian B. Toller, Bernhard C. Geiger, Roman Kern
Cluster Purging: Efficient Outlier Detection based on Rate-Distortion Theory. CoRR (2023)
Bernhard C. Geiger, Barbara Schuppler
Exploring Graph Theory Methods For the Analysis of Pronunciation Variation in Spontaneous Speech. INTERSPEECH (2023)
Johannes G. Hoffer, Sascha Ranftl, Bernhard C. Geiger
Robust Bayesian Target Value Optimization. CoRR (2023)
Linara Adilova, Bernhard C. Geiger, Asja Fischer
Information Plane Analysis for Dropout Neural Networks. CoRR (2023)
Stefan Posch, Clemens Gößnitzer, Franz M. Rohrhofer, Bernhard C. Geiger, Andreas Wimmer
Finding the Optimum Design of Large Gas Engines Prechambers Using CFD and Bayesian Optimization. CoRR (2023)
Bernhard C. Geiger, Alireza Jahani, Hussain Hussain, Derek Groen
Markov Aggregation for Speeding Up Agent-Based Movement Simulations. AAMAS (2023)
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, José M. García-Oliver, Bernhard C. Geiger
Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes. CoRR (2023)
Linara Adilova, Bernhard C. Geiger, Asja Fischer
Information Plane Analysis for Dropout Neural Networks. ICLR (2023)
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks. IEEE Access 11 (2023)
Maximilian Toller, Bernhard C. Geiger, Roman Kern
Cluster Purging: Efficient Outlier Detection Based on Rate-Distortion Theory. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Johannes G. Hoffer, Sascha Ranftl, Bernhard C. Geiger
Robust Bayesian target value optimization. Comput. Ind. Eng. 180 (2023)
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks. Trans. Mach. Learn. Res. 2023 (2023)
Philipp Gabler, Bernhard C. Geiger, Barbara Schuppler, Roman Kern
Reconsidering Read and Spontaneous Speech: Causal Perspectives on the Generation of Training Data for Automatic Speech Recognition. Inf. 14 (2) (2023)
Christian Toth, Denis Helic, Bernhard C. Geiger
Synwalk: community detection via random walk modelling. Data Min. Knowl. Discov. 36 (2) (2022)
Christoph Schweimer, Christine Gfrerer, Florian Lugstein, David Pape, Jan A. Velimsky, Robert Elsässer, Bernhard C. Geiger
Generating Simple Directed Social Network Graphs for Information Spreading. WWW (2022)
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
Understanding the Difficulty of Training Physics-Informed Neural Networks on Dynamical Systems. CoRR (2022)
João Machado de Freitas, Sebastian Berg, Bernhard C. Geiger, Manfred Mücke
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering. CoRR (2022)
João Machado de Freitas, Sebastian Berg, Bernhard C. Geiger, Manfred Mücke
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering. IJCNN (2022)
João Machado de Freitas, Bernhard C. Geiger
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning. CoRR (2022)
Achilles Kefalas, Andreas B. Ofner, Gerhard Pirker, Stefan Posch, Bernhard C. Geiger, Andreas Wimmer
Estimation of Combustion Parameters from Engine Vibrations Based on Discrete Wavelet Transform and Gradient Boosting. Sensors 22 (11) (2022)
Bernhard C. Geiger
Information-Theoretic Reduction of Markov Chains. CoRR (2022)
Yani Xue, Miqing Li, Hamid Arabnejad, Diana Suleimenova, Alireza Jahani, Bernhard C. Geiger, Zidong Wang, Xiaohui Liu, Derek Groen
Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach. ICCS (3) (2022)
Sophie Steger, Bernhard C. Geiger, Marek Smieja
Semi-supervised clustering via information-theoretic markov chain aggregation. SAC (2022)
Bernhard C. Geiger
On Information Plane Analyses of Neural Network Classifiers - A Review. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Andreas B. Ofner, Achilles Kefalas, Stefan Posch, Bernhard C. Geiger
Knock Detection in Combustion Engine Time Series Using a Theory-Guided 1D Convolutional Neural Network Approach. CoRR (2022)
Rana Ali Amjad, Kairen Liu, Bernhard C. Geiger
Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Christoph Schweimer, Christine Gfrerer, Florian Lugstein, David Pape, Jan A. Velimsky, Robert Elsässer, Bernhard C. Geiger
Generating Simple Directed Social Network Graphs for Information Spreading. CoRR (2022)
Christian Toth, Denis Helic, Bernhard C. Geiger
Synwalk - Community Detection via Random Walk Modelling. CoRR (2021)
Sophie Steger, Bernhard C. Geiger, Marek Smieja
Semi-Supervised Clustering via Markov Chain Aggregation. CoRR (2021)
Mina Basirat, Bernhard C. Geiger, Peter M. Roth
A Geometric Perspective on Information Plane Analysis. Entropy 23 (6) (2021)
Franz M. Rohrhofer, Santanu Saha, Simone Di Cataldo, Bernhard C. Geiger, Wolfgang von der Linden, Lilia Boeri
Importance of feature engineering and database selection in a machine learning model: A case study on carbon crystal structures. CoRR (2021)
Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger
SeGMA: Semi-Supervised Gaussian Mixture Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 32 (9) (2021)
Franz M. Rohrhofer, Stefan Posch, Bernhard C. Geiger
On the Pareto Front of Physics-Informed Neural Networks. CoRR (2021)
Alexandra Fuchs, Bernhard C. Geiger, Elisabeth Hobisch, Philipp Koncar, Jacqueline More, Sanja Saric, Martina Scholger
Das Theater mit dem Theater: Thementransfer in den Spectators. DHd (2020)
Rana Ali Amjad, Bernhard C. Geiger
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle. IEEE Trans. Pattern Anal. Mach. Intell. 42 (9) (2020)
Bernhard C. Geiger
On Information Plane Analyses of Neural Network Classifiers - A Review. CoRR (2020)
Maximilian Toller, Bernhard C. Geiger, Roman Kern
A Formally Robust Time Series Distance Metric. CoRR (2020)
Bernhard C. Geiger, Ali Al-Bashabsheh
On Functions of Markov Random Fields. CoRR (2020)
Stefan Schrunner, Bernhard C. Geiger, Anja Zernig, Roman Kern
A generative semi-supervised classifier for datasets with unknown classes. SAC (2020)
Rana Ali Amjad, Clemens Blöchl, Bernhard C. Geiger
A Generalized Framework For Kullback-Leibler Markov Aggregation. IEEE Trans. Autom. Control. 65 (7) (2020)
Bernhard C. Geiger, Gernot Kubin
Information Bottleneck: Theory and Applications in Deep Learning. Entropy 22 (12) (2020)
Bernhard C. Geiger, Ian S. Fischer
A Comparison of Variational Bounds for the Information Bottleneck Functional. Entropy 22 (11) (2020)
Sergiy Gogolenko, Derek Groen, Diana Suleimenova, Imran Mahmood, Marcin Lawenda, Francisco Javier Nieto de Santos, John Hanley, Milana Vuckovic, Mark Kröll, Bernhard C. Geiger, Robert Elsässer, Dennis Hoppe
Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources. ICCS (6) (2020)
Philipp Koncar, Alexandra Fuchs, Elisabeth Hobisch, Bernhard C. Geiger, Martina Scholger, Denis Helic
Text sentiment in the Age of Enlightenment: an analysis of spectator periodicals. Appl. Netw. Sci. 5 (1) (2020)
Anastasia Klimashevskaia, Bernhard C. Geiger, Martin Hagmüller, Denis Helic, Frank Fischer
"To be or not to be central" - On the Stability of Network Centrality Measures in Shakespeare's "Hamlet". DH (2020)
Bernhard C. Geiger, Ali Al-Bashabsheh
On Functions of Markov Random Fields. ITW (2020)
Elisabeth Hobisch, Martina Scholger, Alexandra Fuchs, Bernhard C. Geiger, Philipp Koncar, Sanja Saric
Behind the Scenes of the Spectators: Uncovering Anonymous Authors in Periodicals of the Enlightenment. DH (2020)
Bernhard C. Geiger, Tobias Koch
On the Information Dimension of Stochastic Processes. IEEE Trans. Inf. Theory 65 (10) (2019)
Clemens Blöchl, Rana Ali Amjad, Bernhard C. Geiger
Co-Clustering via Information-Theoretic Markov Aggregation. IEEE Trans. Knowl. Data Eng. 31 (4) (2019)
Rana Ali Amjad, Bernhard C. Geiger
Class-Conditional Compression and Disentanglement: Bridging the Gap between Neural Networks and Naive Bayes Classifiers. CoRR (2019)
Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger
SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder. CoRR (2019)
Roy Timo, Shirin Saeedi Bidokhti, Michèle A. Wigger, Bernhard C. Geiger
A Rate-Distortion Approach to Caching. IEEE Trans. Inf. Theory 64 (3) (2018)
Kairen Liu, Rana Ali Amjad, Bernhard C. Geiger
Understanding Individual Neuron Importance Using Information Theory. CoRR (2018)
Clemens Blöchl, Rana Ali Amjad, Bernhard C. Geiger
Co-Clustering via Information-Theoretic Markov Aggregation. CoRR (2018)
Rana Ali Amjad, Bernhard C. Geiger
How (Not) To Train Your Neural Network Using the Information Bottleneck Principle. CoRR (2018)
Bernhard C. Geiger
A Short Note on the Jensen-Shannon Divergence between Simple Mixture Distributions. CoRR (2018)
Bernhard C. Geiger
The Fractality of Polar and Reed-Muller Codes. Entropy 20 (1) (2018)
Onur Günlü, Anes Belkacem, Bernhard C. Geiger
Secret-key binding to physical identifiers with reliability guarantees. ICC (2017)
Patrick Schulte, Bernhard C. Geiger
Divergence scaling of fixed-length, binary-output, one-to-one distribution matching. ISIT (2017)
Bernhard C. Geiger, Tobias Koch
On the information dimension rate of stochastic processes. ISIT (2017)
Marek Smieja, Bernhard C. Geiger
Semi-supervised cross-entropy clustering with information bottleneck constraint. Inf. Sci. 421 (2017)
Marek Smieja, Bernhard C. Geiger
Semi-supervised cross-entropy clustering with information bottleneck constraint. CoRR (2017)
Patrick Schulte, Bernhard C. Geiger
Divergence Scaling of Fixed-Length, Binary-Output, One-to-One Distribution Matching. CoRR (2017)
Bernhard C. Geiger, Tobias Koch
On the Information Dimension of Stochastic Processes. CoRR (2017)
Rana Ali Amjad, Clemens Blöchl, Bernhard C. Geiger
A Generalized Framework for Kullback-Leibler Markov Aggregation. CoRR (2017)
Bernhard C. Geiger, Tobias Koch
On the Information Dimension of Multivariate Gaussian Processes. CoRR (2017)
Bernhard C. Geiger, Gernot Kubin
Information-Theoretic Analysis of Memoryless Deterministic Systems. Entropy 18 (11) (2016)
Georg Bocherer, Bernhard C. Geiger
Optimal Quantization for Distribution Synthesis. IEEE Trans. Inf. Theory 62 (11) (2016)
Bernhard C. Geiger, Georg Böcherer
Greedy Algorithms for Optimal Distribution Approximation. Entropy 18 (7) (2016)
Roy Timo, Shirin Saeedi Bidokhti, Michèle A. Wigger, Bernhard C. Geiger
A Rate-Distortion Approach to Caching. CoRR (2016)
Bernhard C. Geiger, Yuchen Wu
Higher-Order Kullback-Leibler Aggregation of Markov Chains. CoRR (2016)
Bernhard C. Geiger, Georg Böcherer
Greedy Algorithms for Optimal Distribution Approximation. CoRR (2016)
Bernhard C. Geiger, Christoph Hofer-Temmel
Graph-based lossless Markov lumpings. ISIT (2016)
Florian Kulmer, Christian Gun Wurzer, Bernhard C. Geiger
The Magnitude Response Learning Tool for DSP Education: A Case Study. IEEE Trans. Educ. 59 (4) (2016)
Bernhard C. Geiger, Rana Ali Amjad
Hard Clusters Maximize Mutual Information. CoRR (2016)
Bernhard C. Geiger, Tatjana Petrov, Gernot Kubin, Heinz Koeppl
Optimal Kullback-Leibler Aggregation via Information Bottleneck. IEEE Trans. Autom. Control. 60 (4) (2015)
Christian Knoll, Bernhard C. Geiger, Gernot Kubin
The Muculants - a Higher-Order Statistical Approach. CoRR (2015)
Bernhard C. Geiger, Christoph Hofer-Temmel
Graph-Based Lossless Markov Lumpings. CoRR (2015)
Bernhard C. Geiger
The Fractality of Polar and Reed-Muller Codes. CoRR (2015)
Peter Casapicola, Markus Polzl, Bernhard C. Geiger
A Matlab-based magnitude response game for DSP education. ICASSP (2014)
Bernhard C. Geiger, Christoph Temmel
Lumpings of Markov Chains, Entropy Rate Preservation, and Higher-Order Lumpability. J. Appl. Probab. 51 (4) (2014)
Bernhard C. Geiger, Gernot Kubin
Information-maximizing prefilters for quantization. ICASSP (2014)
Bernhard C. Geiger, Gernot Kubin
Towards an information-theoretic system theory CoRR (2013)
Bernhard C. Geiger, Tatjana Petrov, Gernot Kubin, Heinz Koeppl
Optimal Kullback-Leibler Aggregation via Information Bottleneck CoRR (2013)
Bernhard C. Geiger, Gernot Kubin
Information Loss and Anti-Aliasing Filters in Multirate Systems. CoRR (2013)
Georg Böcherer, Bernhard C. Geiger
Optimal M-Type Quantizations of Distributions. CoRR (2013)
Bernhard C. Geiger, Christoph Temmel
Information-preserving Markov aggregation. ITW (2013)
Bernhard C. Geiger, Gernot Kubin
On the Rate of Information Loss in Memoryless Systems CoRR (2013)
Bernhard C. Geiger, Christian Vogel
Influence of Doppler Bin Width on GPS Acquisition Probabilities. IEEE Trans. Aerosp. Electron. Syst. 49 (4) (2013)
Bernhard C. Geiger, Christoph Temmel
Information-Preserving Markov Aggregation CoRR (2013)
Philipp Aichinger, Berit Schneider-Stickler, Wolfgang Bigenzahn, Anna Katharina Fuchs, Bernhard C. Geiger, Martin Hagmüller, Gernot Kubin
Double pitch marks in diplophonic voice. ICASSP (2013)
Robert Peharz, Bernhard C. Geiger, Franz Pernkopf
Greedy Part-Wise Learning of Sum-Product Networks. ECML/PKDD (2) (2013)
Bernhard C. Geiger, Gernot Kubin
Relative Information Loss in the PCA CoRR (2012)
Bernhard C. Geiger, Christian Vogel, Michael Soudan
Comparison Between Ratio Detection and Threshold Comparison for GNSS Acquisition. IEEE Trans. Aerosp. Electron. Syst. 48 (2) (2012)
Bernhard C. Geiger, Gernot Kubin
Relative information loss in the PCA. ITW (2012)
Erik Leitinger, Bernhard C. Geiger, Klaus Witrisal
Capacity and capacity-achieving input distribution of the energy detector. ICUWB (2012)
Bernhard C. Geiger, Christoph Temmel
Lumped Markov chains and entropy rate CoRR (2012)
Bernhard C. Geiger, Gernot Kubin
Relative Information Loss - An Introduction CoRR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bernhard C. Geiger