69 results on '"Geiger, Bernhard C."'
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2. Utilizing neural networks to supplant chemical kinetics tabulation through mass conservation and weighting of species depletion
3. Exploring Graph Theory Methods For the Analysis of Pronunciation Variation in Spontaneous Speech
4. Reconsidering Read and Spontaneous Speech: Causal Perspectives on the Generation of Training Data for Automatic Speech Recognition
5. Confidentiality-preserving data exchange to enable sustainable product management via digital product passports - a conceptualization.
6. On the Apparent Pareto Front of Physics-informed Neural Networks
7. In-cylinder pressure reconstruction from engine block vibrations via a branched convolutional neural network
8. Information Loss in Deterministic Signal Processing Systems
9. Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation
10. On Information Plane Analyses of Neural Network Classifiers—A Review
11. Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering
12. Relevant Information Loss Rate
13. Introduction
14. Piecewise Bijective Functions and Continuous Inputs
15. Conclusion and Outlook
16. Dimensionality-Reducing Functions
17. Dimensionality-Reducing Functions
18. Piecewise Bijective Functions and Continuous Inputs
19. Discrete-Valued Processes
20. General Input Distributions
21. Relevant Information Loss
22. Machine Learning and Meteorological Normalization for Assessment of Particulate Matter Changes during the COVID-19 Lockdown in Zagreb, Croatia
23. Estimation of Combustion Parameters from Engine Vibrations Based on Discrete Wavelet Transform and Gradient Boosting
24. Semi-supervised clustering via information-theoretic markov chain aggregation
25. Generating Simple Directed Social Network Graphs for Information Spreading
26. Theory-inspired machine learning—towards a synergy between knowledge and data
27. Gaussian Process Surrogates for Modeling Uncertainties in a Use Case of Forging Superalloys
28. Synwalk: community detection via random walk modelling
29. Mesh-Free Surrogate Models for Structural Mechanic FEM Simulation: A Comparative Study of Approaches
30. SeGMA: Semi-Supervised Gaussian Mixture Autoencoder
31. A Geometric Perspective on Information Plane Analysis
32. A route pruning algorithm for an automated geographic location graph construction
33. On Functions of Markov Random Fields
34. A Route Pruning Algorithm for an Automated Geographic Location Graph Construction
35. Detection of Knocking Combustion Using the Continuous Wavelet Transformation and a Convolutional Neural Network
36. Greedy Part-Wise Learning of Sum-Product Networks
37. Information Bottleneck: Theory and Applications in Deep Learning
38. A Comparison of Variational Bounds for the Information Bottleneck Functional
39. Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
40. A Generalized Framework For Kullback–Leibler Markov Aggregation
41. Text sentiment in the Age of Enlightenment: an analysis of spectator periodicals
42. A generative semi-supervised classifier for datasets with unknown classes
43. On the Information Dimension of Stochastic Processes
44. Feature Extraction From Analog Wafermaps: A Comparison of Classical Image Processing and a Deep Generative Model
45. Co-Clustering via Information-Theoretic Markov Aggregation
46. A Rate-Distortion Approach to Caching
47. Semi-supervised cross-entropy clustering with information bottleneck constraint
48. A sufficient condition for a unique invariant distribution of a higher-order Markov chain
49. On the information dimension rate of stochastic processes
50. Divergence scaling of fixed-length, binary-output, one-to-one distribution matching
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