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Bernhard C. Geiger
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- affiliation: Graz University of Technology, Austria
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2020 – today
- 2025
- [j32]Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger:
Approximating families of sharp solutions to Fisher's equation with physics-informed neural networks. Comput. Phys. Commun. 307: 109422 (2025) - [j31]Julian Linke, Bernhard C. Geiger, Gernot Kubin, Barbara Schuppler:
What's so complex about conversational speech? A comparison of HMM-based and transformer-based ASR architectures. Comput. Speech Lang. 90: 101738 (2025) - 2024
- [c31]Karner Manuel, Julian Linke, Mark Kröll, Barbara Schuppler, Bernhard C. Geiger:
Towards Improving ASR Outputs of Spontaneous Speech with LLMs. BBBBBBBBBB 2024: 339-348 - [i55]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 abs/2402.08313 (2024) - [i54]Maximilian Toller, Hussain Hussain, Bernhard C. Geiger:
Activation Bottleneck: Sigmoidal Neural Networks Cannot Forecast a Straight Line. CoRR abs/2406.02146 (2024) - [i53]Maximilian Toller, Hussain Hussain, Roman Kern, Bernhard C. Geiger:
Constraining Anomaly Detection with Anomaly-Free Regions. CoRR abs/2409.20208 (2024) - [i52]Florian Atzenhofer-Baumgartner, Bernhard C. Geiger, Christoph Trattner, Georg Vogeler, Dominik Kowald:
Challenges in Implementing a Recommender System for Historical Research in the Humanities. CoRR abs/2410.20909 (2024) - 2023
- [j30]Franz M. Rohrhofer
, Stefan Posch
Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks. IEEE Access 11: 86252-86261 (2023) - [j29]Johannes G. Hoffer
Robust Bayesian target value optimization. Comput. Ind. Eng. 180: 109279 (2023) - [j28]Philipp Gabler
Reconsidering Read and Spontaneous Speech: Causal Perspectives on the Generation of Training Data for Automatic Speech Recognition. Inf. 14(2): 137 (2023) - [j27]Maximilian Toller
Cluster Purging: Efficient Outlier Detection Based on Rate-Distortion Theory. IEEE Trans. Knowl. Data Eng. 35(2): 1270-1282 (2023) - [j26]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) - [c30]Bernhard C. Geiger, Alireza Jahani, Hussain Hussain, Derek Groen:
Markov Aggregation for Speeding Up Agent-Based Movement Simulations. AAMAS 2023: 1877-1885 - [c29]Linara Adilova, Bernhard C. Geiger, Asja Fischer
Information Plane Analysis for Dropout Neural Networks. ICLR 2023 - [c28]Bernhard C. Geiger, Barbara Schuppler
Exploring Graph Theory Methods For the Analysis of Pronunciation Variation in Spontaneous Speech. INTERSPEECH 2023: 596-600 - [i51]Johannes G. Hoffer, Sascha Ranftl, Bernhard C. Geiger:
Robust Bayesian Target Value Optimization. CoRR abs/2301.04344 (2023) - [i50]Sebastian Scher, Bernhard C. Geiger, Simone Kopeinik, Andreas Trügler, Dominik Kowald
A conceptual model for leaving the data-centric approach in machine learning. CoRR abs/2302.03361 (2023) - [i49]Maximilian B. Toller, Bernhard C. Geiger, Roman Kern:
Cluster Purging: Efficient Outlier Detection based on Rate-Distortion Theory. CoRR abs/2302.11234 (2023) - [i48]Linara Adilova, Bernhard C. Geiger, Asja Fischer:
Information Plane Analysis for Dropout Neural Networks. CoRR abs/2303.00596 (2023) - [i47]Stefan Posch, Clemens Gößnitzer
Finding the Optimum Design of Large Gas Engines Prechambers Using CFD and Bayesian Optimization. CoRR abs/2308.01743 (2023) - [i46]Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer
Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes. CoRR abs/2308.01954 (2023) - 2022
- [j25]Christian Toth
Synwalk: community detection via random walk modelling. Data Min. Knowl. Discov. 36(2): 739-780 (2022) - [j24]Achilles Kefalas
Estimation of Combustion Parameters from Engine Vibrations Based on Discrete Wavelet Transform and Gradient Boosting. Sensors 22(11): 4235 (2022) - [j23]Bernhard C. Geiger
On Information Plane Analyses of Neural Network Classifiers - A Review. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7039-7051 (2022) - [j22]Rana Ali Amjad
Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7842-7852 (2022) - [c27]Yani Xue
Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach. ICCS (3) 2022: 497-504 - [c26]João Machado de Freitas, Sebastian Berg, Bernhard C. Geiger, Manfred Mücke:
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering. IJCNN 2022: 1-8 - [c25]Sophie Steger, Bernhard C. Geiger, Marek Smieja:
Semi-supervised clustering via information-theoretic markov chain aggregation. SAC 2022: 1136-1139 - [c24]Christoph Schweimer
Generating Simple Directed Social Network Graphs for Information Spreading. WWW 2022: 1475-1485 - [i45]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 abs/2201.06990 (2022) - [i44]Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer
Understanding the Difficulty of Training Physics-Informed Neural Networks on Dynamical Systems. CoRR abs/2203.13648 (2022) - [i43]Bernhard C. Geiger:
Information-Theoretic Reduction of Markov Chains. CoRR abs/2204.13896 (2022) - [i42]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 abs/2205.02485 (2022) - [i41]João Machado de Freitas, Sebastian Berg, Bernhard C. Geiger, Manfred Mücke:
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering. CoRR abs/2205.15882 (2022) - [i40]João Machado de Freitas, Bernhard C. Geiger:
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning. CoRR abs/2211.01446 (2022) - 2021
- [j21]Mina Basirat
A Geometric Perspective on Information Plane Analysis. Entropy 23(6): 711 (2021) - [j20]Marek Smieja
SeGMA: Semi-Supervised Gaussian Mixture Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3930-3941 (2021) - [i39]Christian Toth, Denis Helic, Bernhard C. Geiger:
Synwalk - Community Detection via Random Walk Modelling. CoRR abs/2101.08623 (2021) - [i38]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 abs/2102.00191 (2021) - [i37]Franz M. Rohrhofer, Stefan Posch, Bernhard C. Geiger:
On the Pareto Front of Physics-Informed Neural Networks. CoRR abs/2105.00862 (2021) - [i36]Sophie Steger, Bernhard C. Geiger, Marek Smieja:
Semi-Supervised Clustering via Markov Chain Aggregation. CoRR abs/2112.09397 (2021) - 2020
- [j19]Philipp Koncar
Text sentiment in the Age of Enlightenment: an analysis of spectator periodicals. Appl. Netw. Sci. 5(1): 33 (2020) - [j18]Bernhard C. Geiger
A Comparison of Variational Bounds for the Information Bottleneck Functional. Entropy 22(11): 1229 (2020) - [j17]Bernhard C. Geiger
Information Bottleneck: Theory and Applications in Deep Learning. Entropy 22(12): 1408 (2020) - [j16]Rana Ali Amjad
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2225-2239 (2020) - [j15]Rana Ali Amjad
A Generalized Framework For Kullback-Leibler Markov Aggregation. IEEE Trans. Autom. Control. 65(7): 3068-3075 (2020) - [c23]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 - [c22]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 - [c21]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 - [c20]Sergiy Gogolenko, Derek Groen, Diana Suleimenova, Imran Mahmood, Marcin Lawenda
Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources. ICCS (6) 2020: 410-424 - [c19]Bernhard C. Geiger, Ali Al-Bashabsheh:
On Functions of Markov Random Fields. ITW 2020: 1-5 - [c18]Stefan Schrunner
A generative semi-supervised classifier for datasets with unknown classes. SAC 2020: 1066-1074 - [i35]Bernhard C. Geiger:
On Information Plane Analyses of Neural Network Classifiers - A Review. CoRR abs/2003.09671 (2020) - [i34]Bernhard C. Geiger, Ali Al-Bashabsheh:
On Functions of Markov Random Fields. CoRR abs/2005.13908 (2020) - [i33]Maximilian Toller, Bernhard C. Geiger, Roman Kern:
A Formally Robust Time Series Distance Metric. CoRR abs/2008.07865 (2020)
2010 – 2019
- 2019
- [j14]Bernhard C. Geiger
On the Information Dimension of Stochastic Processes. IEEE Trans. Inf. Theory 65(10): 6496-6518 (2019) - [j13]Clemens Blöchl
Co-Clustering via Information-Theoretic Markov Aggregation. IEEE Trans. Knowl. Data Eng. 31(4): 720-732 (2019) - [i32]Rana Ali Amjad, Bernhard C. Geiger:
Class-Conditional Compression and Disentanglement: Bridging the Gap between Neural Networks and Naive Bayes Classifiers. CoRR abs/1906.02576 (2019) - [i31]Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger:
SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder. CoRR abs/1906.09333 (2019) - 2018
- [j12]Bernhard C. Geiger
The Fractality of Polar and Reed-Muller Codes. Entropy 20(1): 70 (2018) - [j11]Roy Timo
A Rate-Distortion Approach to Caching. IEEE Trans. Inf. Theory 64(3): 1957-1976 (2018) - [i30]Clemens Blöchl, Rana Ali Amjad, Bernhard C. Geiger:
Co-Clustering via Information-Theoretic Markov Aggregation. CoRR abs/1801.00584 (2018) - [i29]Rana Ali Amjad, Bernhard C. Geiger:
How (Not) To Train Your Neural Network Using the Information Bottleneck Principle. CoRR abs/1802.09766 (2018) - [i28]Kairen Liu, Rana Ali Amjad, Bernhard C. Geiger:
Understanding Individual Neuron Importance Using Information Theory. CoRR abs/1804.06679 (2018) - [i27]Bernhard C. Geiger:
A Short Note on the Jensen-Shannon Divergence between Simple Mixture Distributions. CoRR abs/1812.02059 (2018) - 2017
- [j10]Marek Smieja, Bernhard C. Geiger:
Semi-supervised cross-entropy clustering with information bottleneck constraint. Inf. Sci. 421: 254-271 (2017) - [c17]Onur Günlü
Secret-key binding to physical identifiers with reliability guarantees. ICC 2017: 1-6 - [c16]Bernhard C. Geiger, Tobias Koch
On the information dimension rate of stochastic processes. ISIT 2017: 888-892 - [c15]Patrick Schulte, Bernhard C. Geiger:
Divergence scaling of fixed-length, binary-output, one-to-one distribution matching. ISIT 2017: 3075-3079 - [i26]Patrick Schulte, Bernhard C. Geiger:
Divergence Scaling of Fixed-Length, Binary-Output, One-to-One Distribution Matching. CoRR abs/1701.07371 (2017) - [i25]Bernhard C. Geiger, Tobias Koch:
On the Information Dimension of Stochastic Processes. CoRR abs/1702.00645 (2017) - [i24]Marek Smieja, Bernhard C. Geiger:
Semi-supervised cross-entropy clustering with information bottleneck constraint. CoRR abs/1705.01601 (2017) - [i23]Rana Ali Amjad, Clemens Blöchl, Bernhard C. Geiger:
A Generalized Framework for Kullback-Leibler Markov Aggregation. CoRR abs/1709.05907 (2017) - [i22]Bernhard C. Geiger, Tobias Koch:
On the Information Dimension of Multivariate Gaussian Processes. CoRR abs/1712.07863 (2017) - 2016
- [j9]Bernhard C. Geiger
Greedy Algorithms for Optimal Distribution Approximation. Entropy 18(7): 262 (2016) - [j8]Bernhard C. Geiger, Gernot Kubin:
Information-Theoretic Analysis of Memoryless Deterministic Systems. Entropy 18(11): 410 (2016) - [j7]Florian Kulmer, Christian Gun Wurzer, Bernhard C. Geiger:
The Magnitude Response Learning Tool for DSP Education: A Case Study. IEEE Trans. Educ. 59(4): 282-289 (2016) - [j6]Georg Bocherer
Optimal Quantization for Distribution Synthesis. IEEE Trans. Inf. Theory 62(11): 6162-6172 (2016) - [c14]Bernhard C. Geiger, Christoph Hofer-Temmel:
Graph-based lossless Markov lumpings. ISIT 2016: 3033-3037 - [i21]Bernhard C. Geiger, Georg Böcherer:
Greedy Algorithms for Optimal Distribution Approximation. CoRR abs/1601.06039 (2016) - [i20]Bernhard C. Geiger, Yuchen Wu:
Higher-Order Kullback-Leibler Aggregation of Markov Chains. CoRR abs/1608.04637 (2016) - [i19]Bernhard C. Geiger, Rana Ali Amjad:
Hard Clusters Maximize Mutual Information. CoRR abs/1608.04872 (2016) - [i18]Roy Timo, Shirin Saeedi Bidokhti, Michèle A. Wigger, Bernhard C. Geiger:
A Rate-Distortion Approach to Caching. CoRR abs/1610.07304 (2016) - 2015
- [j5]Bernhard C. Geiger
Optimal Kullback-Leibler Aggregation via Information Bottleneck. IEEE Trans. Autom. Control. 60(4): 1010-1022 (2015) - [i17]Christian Knoll, Bernhard C. Geiger, Gernot Kubin:
The Muculants - a Higher-Order Statistical Approach. CoRR abs/1506.04518 (2015) - [i16]Bernhard C. Geiger:
The Fractality of Polar and Reed-Muller Codes. CoRR abs/1506.05231 (2015) - [i15]Bernhard C. Geiger, Christoph Hofer-Temmel:
Graph-Based Lossless Markov Lumpings. CoRR abs/1509.06580 (2015) - 2014
- [j4]Bernhard C. Geiger, Christoph Temmel:
Lumpings of Markov Chains, Entropy Rate Preservation, and Higher-Order Lumpability. J. Appl. Probab. 51(4): 1114-1132 (2014) - [c13]Peter Casapicola, Markus Polzl, Bernhard C. Geiger
A Matlab-based magnitude response game for DSP education. ICASSP 2014: 2214-2218 - [c12]Bernhard C. Geiger
Information-maximizing prefilters for quantization. ICASSP 2014: 4968-4972 - 2013
- [j3]Bernhard C. Geiger
Influence of Doppler Bin Width on GPS Acquisition Probabilities. IEEE Trans. Aerosp. Electron. Syst. 49(4): 2570-2584 (2013) - [c11]Philipp Aichinger
Double pitch marks in diplophonic voice. ICASSP 2013: 7437-7441 - [c10]Bernhard C. Geiger
Information-preserving Markov aggregation. ITW 2013: 1-5 - [c9]Robert Peharz
Greedy Part-Wise Learning of Sum-Product Networks. ECML/PKDD (2) 2013: 612-627 - [i14]Bernhard C. Geiger, Gernot Kubin:
Towards an information-theoretic system theory. CoRR abs/1303.6409 (2013) - [i13]Bernhard C. Geiger, Christoph Temmel:
Information-Preserving Markov Aggregation. CoRR abs/1304.0920 (2013) - [i12]Bernhard C. Geiger, Gernot Kubin:
On the Rate of Information Loss in Memoryless Systems. CoRR abs/1304.5075 (2013) - [i11]Bernhard C. Geiger, Tatjana Petrov, Gernot Kubin, Heinz Koeppl:
Optimal Kullback-Leibler Aggregation via Information Bottleneck. CoRR abs/1304.6603 (2013) - [i10]Georg Böcherer, Bernhard C. Geiger:
Optimal M-Type Quantizations of Distributions. CoRR abs/1307.6843 (2013) - [i9]Bernhard C. Geiger, Gernot Kubin:
Information Loss and Anti-Aliasing Filters in Multirate Systems. CoRR abs/1310.8487 (2013) - 2012
- [j2]Bernhard C. Geiger
Comparison Between Ratio Detection and Threshold Comparison for GNSS Acquisition. IEEE Trans. Aerosp. Electron. Syst. 48(2): 1772-1779 (2012) - [c8]Erik Leitinger, Bernhard C. Geiger
Capacity and capacity-achieving input distribution of the energy detector. ICUWB 2012: 57-61 - [c7]Bernhard C. Geiger
Relative information loss in the PCA. ITW 2012: 562-566 - [i8]Bernhard C. Geiger, Gernot Kubin:
Relative Information Loss - An Introduction. CoRR abs/1203.6791 (2012) - [i7]Bernhard C. Geiger, Gernot Kubin:
Relative Information Loss in the PCA. CoRR abs/1204.0429 (2012) - [i6]Bernhard C. Geiger, Gernot Kubin:
Signal Enhancement as Minimization of Relevant Information Loss. CoRR abs/1205.6935 (2012) - [i5]Bernhard C. Geiger, Christoph Temmel:
Lumped Markov chains and entropy rate. CoRR abs/1212.4375 (2012) - 2011
- [j1]Farukh Nadeem, Bernhard C. Geiger
Comparison of link selection algorithms for free space optics/radio frequency hybrid network. IET Commun. 5(18): 2751-2759 (2011) - [c6]Bernhard C. Geiger
Some results on the information loss in dynamical systems. ISWCS 2011: 794-798 - [c5]Bernhard C. Geiger
Information loss in static nonlinearities. ISWCS 2011: 799-803 - [i4]Bernhard C. Geiger, Christian Feldbauer, Gernot Kubin:
Information Loss in Static Nonlinearities. CoRR abs/1102.4794 (2011) - [i3]Bernhard C. Geiger, Gernot Kubin:
Some Results on the Information Loss in Dynamical Systems. CoRR abs/1106.2404 (2011) - [i2]Bernhard C. Geiger, Christian Vogel:
Influence of Doppler Bin Width on GNSS Detection Probabilities. CoRR abs/1107.1972 (2011) - [i1]Bernhard C. Geiger, Gernot Kubin:
On the Information Loss in Memoryless Systems: The Multivariate Case. CoRR abs/1109.4856 (2011) - 2010
- [c4]Bernhard C. Geiger
On the detection probability of parallel code phase search algorithms in GPS receivers. PIMRC 2010: 865-870
2000 – 2009
- 2009
- [c3]Farukh Nadeem, Bernhard C. Geiger
Comparison of Wireless Optical Communication Availability Data and Traffic Data. VTC Spring 2009 - [c2]Farukh Nadeem, Max Henkel, Bernhard C. Geiger
Implementation and analysis of load balancing switch over for hybrid wireless network. WCNC 2009: 2542-2547 - [c1]Farukh Nadeem, Bernhard C. Geiger
Switch over implementation and analysis for hybrid wireless network of optical wireless and GHz links. WTS 2009: 1-6
Coauthor Index
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