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Roman Rischke
Roman Rischke
Professor of Data Science at Coburg University
Bestätigte E-Mail-Adresse bei hs-coburg.de
Titel
Zitiert von
Zitiert von
Jahr
Fedaux: Leveraging unlabeled auxiliary data in federated learning
F Sattler, T Korjakow, R Rischke, W Samek
IEEE Transactions on Neural Networks and Learning Systems 34 (9), 5531-5543, 2021
942021
Intra picture prediction for video coding with neural networks
P Helle, J Pfaff, M Schäfer, R Rischke, H Schwarz, D Marpe, T Wiegand
2019 Data Compression Conference (DCC), 448-457, 2019
452019
Description of SDR, HDR, and 360 video coding technology proposal by Fraunhofer HHI
M Albrecht, C Bartnik, S Bosse, J Brandenburg, B Bross, J Erfurt, ...
Joint Video Experts Team (JVET) of ITU-T SG 16, 1-117, 2018
452018
CFD: Communication-efficient federated distillation via soft-label quantization and delta coding
F Sattler, A Marban, R Rischke, W Samek
IEEE Transactions on Network Science and Engineering 9 (4), 2025-2038, 2021
432021
Communication-efficient federated distillation
F Sattler, A Marban, R Rischke, W Samek
arXiv preprint arXiv:2012.00632, 2020
382020
Intra predictions using linear or affine transforms with neighbouring sample reduction
J Pfaff, P Helle, M Schaefer, R Rischke, T Hinz, P Merkle, B Stallenberger, ...
US Patent 11,503,339, 2022
262022
Complexity of interval minmax regret scheduling on parallel identical machines with total completion time criterion
M Drwal, R Rischke
Operations Research Letters 44 (3), 354-358, 2016
242016
Federated learning in dentistry: chances and challenges
R Rischke, L Schneider, K Müller, W Samek, F Schwendicke, J Krois
Journal of Dental Research 101 (11), 1269-1273, 2022
202022
Stochastic and robust scheduling in the cloud
L Chen, N Megow, R Rischke, L Stougie
Approximation, Randomization, and Combinatorial Optimization. Algorithms and …, 2015
172015
Optimal algorithms for scheduling under time-of-use tariffs
L Chen, N Megow, R Rischke, L Stougie, J Verschae
Annals of Operations Research 304, 85-107, 2021
162021
Scheduling maintenance jobs in networks
F Abed, L Chen, Y Disser, M Groß, N Megow, J Meißner, AT Richter, ...
Theoretical Computer Science 754, 107-121, 2019
112019
Optimal algorithms and a PTAS for cost-aware scheduling
L Chen, N Megow, R Rischke, L Stougie, J Verschae
International Symposium on Mathematical Foundations of Computer Science, 211-222, 2015
92015
Federated vs local vs central deep learning of tooth segmentation on panoramic radiographs
L Schneider, R Rischke, J Krois, A Krasowski, M Büttner, ...
Journal of dentistry 135, 104556, 2023
72023
CE3: Affine linear weighted intra prediction (test 1.2. 1, test 1.2. 2)
J Pfaff, B STALLENBERGER, M SCHAFER, P MERKLE, P HELLE, ...
Joint Video Experts Team (JVET) of ITU-T SG 16, 9-18, 0
5
FedAUXfdp: Differentially Private One-Shot Federated Distillation
H Hoech, R Rischke, K Müller, W Samek
International Workshop on Trustworthy Federated Learning, 100-114, 2022
22022
Deterministic, stochastic, and robust cost-aware scheduling
R Rischke
Technische Universität München, 2016
12016
Two-stage robust combinatorial optimization with priced scenarios
R Rischke
Operations Research Proceedings 2013: Selected Papers of the International …, 2014
12014
Affine Linear Weighted Intra Predictions
J Pfaff, H Schwarz, P Helle, M Schäfer, R Rischke, T Hinz, P Merkle, ...
US Patent App. 18/143,587, 2023
2023
Affine Linear Weighted Intra Predictions
J Pfaff, H Schwarz, P Helle, M Schäfer, R Rischke, T Hinz, P Merkle, ...
US Patent 11,659,169, 2023
2023
Intra Predictions Using Linear or Affine Transforms with Neighbouring Sample Reduction
J Pfaff, P Helle, M Schaefer, R Rischke, P Merkle, T Hinz, B Stallenberger, ...
US Patent App. 17/962,391, 2023
2023
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