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Papers matching “model learning” 5,158

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MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, +1 more

0

citations
NiReject: toward automated bad channel detection in functional near-infrared spectroscopy
2024 Neurophotonics article Medicine Optical Imaging and Spectroscopy Techniques Open access

Christian Gerloff, Meryem A. Yücel, Lena Mehlem, Kerstin Konrad, Vanessa Reindl

4

citations
Implementation and Evaluation of a Therapeutic Communication Educational Program for Nurses: Protocol for a Mixed Methods Study
2025 JMIR Research Protocols article Health Professions Patient-Provider Communication in Healthcare Open access

Krista Hoek, Louise Suur, Monique van Velzen, Elise Y. Sarton

3

citations
#5620 MAPPING OUT THE RESEARCH FIELD OF PROGNOSTIC MODELS IN NEPHROLOGY: A SCOPING REVIEW
2023 Nephrology Dialysis Transplantation article Medicine Dialysis and Renal Disease Management Open access

Jet Milders, Chava L. Ramspek, Roemer J. Janse, Friedo Wilhelm Dekker, Merel van Diepen

0

citations
Cautious optimism for deep parameterized quantum circuits
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Marie Kempkes, Elies Gil-Fuster, Carlos Bravo-Prieto, Aroosa Ijaz, Alissa Wilms, Jens Eisert, +2 more

1

citations
KI-basierte Fahrzeugsegmentierung korrosionskritischer Konstruktionen durch die Analyse konstruktiver Maßnahmen, Elektrolytbeanspruchung und Bauteileigenschaften
2026 RWTH Publications (RWTH Aachen) dissertation Materials Science Corrosion Behavior and Inhibition Open access

Marcel Gollé‐Leidreiter

0

citations
A general framework for Bayes structured linear models
2020 The Annals of Statistics article Mathematics Statistical Methods and Inference Open access

Chao Gao, Aad van der Vaart, Harrison H. Zhou

30

citations
Interpretable Visualizations of Deep Neural Networks for Domain Generation Algorithm Detection
2020 IEEE Symposium on Visualization for Cyber Security (VIZSEC) conference-paper Computer Science Explainable Artificial Intelligence (XAI)

Franziska Becker, Arthur Drichel, Christoph Müller, Thomas Ertl

15

citations
Application of RL in control systems using the example of a rotatory inverted pendulum
2024 conference-paper Computer Science Reinforcement Learning in Robotics Open access

René Rütters, Michael Bragard

0

citations
Fast and robust Bayesian inference using Gaussian processes with GPry
2023 Journal of Cosmology and Astroparticle Physics article Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

21

citations
Autogeneration and optimization of pick-and-place trajectories in robotic systems: A data-driven approach
2025 Robotics and Computer-Integrated Manufacturing article Engineering Robotic Mechanisms and Dynamics Open access

Mingkun Wu, Alisa Rupenyan, Burkhard J. Corves

12

citations
Fast and robust Bayesian Inference using Gaussian Processes with GPry
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

1

citations
Hierarchical Inferences Support Systematicity in the Lexicon
2020 preprint Social Sciences Language and cultural evolution Open access

Tessa Verhoef, Roger Lévy

0

citations
Phase classification
2025 Cambridge University Press eBooks book-chapter Physics and Astronomy Quantum many-body systems

Borja Requena, Kaelan Donatella, Juan Carrasquilla, Marylou Gabrié, Evert van Nieuwenburg, Lei Wang, +4 more

0

citations
Snake net with a neural network for detecting multiple phases in the phase diagram
2023 Physical review. E article Physics and Astronomy Theoretical and Computational Physics Open access

Xiaodong Sun, Huijiong Yang, Jie Zhang, Wanzhou Zhang

0

citations
Intelligent control strategies as an enabler for self-optimizing manufacturing systems
2020 RWTH Publications (RWTH Aachen) dissertation Engineering Advanced Control Systems Optimization Open access

Sebastian Stemmler

3

citations
Benchmarking foundation models as feature extractors for weakly supervised computational pathology
2025 Nature Biomedical Engineering article Computer Science AI in cancer detection Open access

Peter Neidlinger, Omar S. M. El Nahhas, Hannah Sophie Muti, Tim Lenz, Michael Hoffmeister, Hermann Brenner, +10 more

146

citations
Les Houches guide to reusable ML models in LHC analyses
2024 SciPost Physics Community Reports article Decision Sciences Scientific Computing and Data Management Open access

Jack Y. Araz, A. G. Buckley, Gregor Kasieczka, Jan Kieseler, Sabine Kraml, Anders Kvellestad, +7 more

8

citations
The super learner for time-to-event outcomes: A tutorial
2025 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Ruth H. Keogh, Karla Diaz‐Ordaz, Nan van Geloven, Jon Michael Gran, Kamaryn Tanner

2

citations
Nature as a Co-Teacher in Early Childhood Language Education
2025 Early Childhood Education Journal article Social Sciences Early Childhood Education and Development Open access

Jannette Prins, Lisa Gaikhorst, Dieuwke Hovinga

10

citations
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Surprise-minimization as a solution to the structural credit assignment problem
2023 preprint Neuroscience Neural and Behavioral Psychology Studies Open access

Franz Wurm, Benjamin Ernst, Marco Steinhauser

0

citations
Report on 2311.00756v1
2024 peer-review Physics and Astronomy Quantum Mechanics and Applications Open access

Kai Meinerz, Simon Trebst, Mark Spencer Rudner, Evert van Nieuwenburg

0

citations
Report on 2311.00756v1
2024 peer-review Physics and Astronomy Quantum Mechanics and Applications Open access

Kai Meinerz, Simon Trebst, Mark Spencer Rudner, Evert van Nieuwenburg

0

citations