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Papers matching “information loss” 108

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IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness
2023 IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W) conference-paper Computer Science Adversarial Robustness in Machine Learning

Xiaoyun Xu, Guilherme Perin, Stjepan Picek

0

citations
Linear optical logical Bell state measurements with optimal loss-tolerance threshold
2023 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Paul Hilaire, Yaron Castor, Edwin Barnes, Sophia E. Economou, Frédéric Grosshans

0

citations
Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory
2025 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Yang Zhou, Zhengyu Qi, Zhaochun Ren, Zhikai Jia, Haizhou Sun, Xiaofei Zhu, +1 more

2

citations
Logical Bell state measurements with maximum loss-tolerance threshold using linear optics
2022 Quantum 2.0 Conference and Exhibition conference-paper Computer Science Quantum Information and Cryptography

Paul Hilaire, Edwin Barnes, Sophia E. Economou, Frédéric Grosshans

0

citations
Integrating information theory and adversarial learning for cross-modal retrieval
2021 Pattern Recognition article Computer Science Multimodal Machine Learning Applications Open access

Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew

32

citations
Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval
2021 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew

0

citations
IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness
2023 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Xiaoyun Xu, Guilherme Perin, Stjepan Picek

0

citations
Linear Optical Logical Bell State Measurements with Optimal Loss-Tolerance Threshold
2023 PRX Quantum article Computer Science Quantum Information and Cryptography Open access

Paul Hilaire, Yaron Castor, Edwin Barnes, Sophia E. Economou, Frédéric Grosshans

12

citations
Mutual information for unsupervised deep learning image registration
2020 SPIE Medical Imaging: Image Processing conference-paper Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent

Bob D. de Vos, Bas van der Velden, Jörg Sander, Kenneth G. A. Gilhuijs, Marius Staring, Ivana Išgum

35

citations
Order Optimal Bounds for One-Shot Federated Learning Over Non-Convex Loss Functions
2023 IEEE Transactions on Information Theory article Computer Science Privacy-Preserving Technologies in Data

Arsalan Sharifnassab, Saber Salehkaleybar, S. Jamaloddin Golestani

2

citations
Fundamental Thresholds for Computational and Erasure Errors via the Coherent Information
2025 PRX Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

Luis Colmenárez, S. Kim, Markus Michael Müller

3

citations
TVFed-P: Tversky-Based Federated Learning with Personalized Loss Parameterization for Medical Imbalanced Data
2026 Communications in computer and information science conference-paper Computer Science Privacy-Preserving Technologies in Data Open access

Samar Samir Khalil, Noha S. Tawfik, Marco René Spruit

0

citations
Rank-Based Loss For Learning Hierarchical Representations
2022 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Music and Audio Processing Open access cited by 1 patent

Inês Nolasco, Dan Stowell

9

citations
Analytical percolation theory for topological color codes under qubit loss
2020 Physical Review A article Computer Science Quantum Computing Algorithms and Architecture Open access

David Amaro, Jemma Bennett, Davide Vodola, Markus Michael Müller

8

citations
Experimental deterministic correction of qubit loss [1]
2021 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) conference-paper Computer Science Quantum Computing Algorithms and Architecture

Roman Stricker, Davide Vodola, Alexander Erhard, Lukas Postler, M. Meth, Martin Ringbauer, +4 more

3

citations
Beyond NLL: Pathwise Cross-Entropy Loss for Discriminative and Calibrated Event-Time Survival Prediction
2026 IEEE Journal of Biomedical and Health Informatics article Computer Science Machine Learning in Healthcare

Jingmin Long, J. P. Li, Jesper Kers, Fons J. Verbeek

1

citations
Generating synthetic mixed discrete-continuous health records with mixed sum-product networks
2022 Journal of the American Medical Informatics Association article Computer Science Privacy-Preserving Technologies in Data Open access

Shannon K. S. Kroes, Matthijs van Leeuwen, Rolf H. H. Groenwold, Mart P. Janssen

6

citations
Informationssicherheitsmanagement
2022 Springer eBooks book-chapter Computer Science Information and Cyber Security

Jacques Engländer, Lars Kaminski, Marko Schuba

1

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

citations
Semi-local Time sensitive Anonymization of Clinical Data
2024 Scientific Data data-paper Computer Science Privacy-Preserving Technologies in Data Open access

F. Hammer, Mateusz Buglowski, André Stollenwerk

5

citations
Efficient High-Dimensional Entangled State Analyzer with Linear Optics
2025 Quantum article Computer Science Quantum Information and Cryptography Open access

Niv Bharos, Liubov A. Markovich, Johannes Borregaard

7

citations
Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
2025 neural information processing systems conference-paper Computer Science Information Retrieval and Search Behavior Open access

Zhengliang Shi, Lingyong Yan, Dawei Yin, Suzan Verberne, Maarten de Rijke, Zhaochun Ren

2

citations
Erased, Rerouted, or Rescaled? Post-Training and the Causal Quotient of a Language Model's Belief State
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Weihan Li, Tianshi Zheng, Junhao Wu, Xinlei Chen

0

citations
Analysis of Hyper-Parameters for AlphaZero-Like Deep Reinforcement Learning
2022 International Journal of Information Technology & Decision Making article Computer Science Artificial Intelligence in Games

Hui Wang, Michael Emmerich, Mike Preuß, Aske Plaat

8

citations