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Papers matching “learning needs” 179

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Reinforcement Learning-based Joint Handover and Beam Tracking in Millimeter-wave Networks
2023 arXiv (Cornell University) preprint Engineering Millimeter-Wave Propagation and Modeling Open access

Hossein Shokri‐Ghadikolaei, Jens Zander, Marina V. Petrova

0

citations
Swarm learning for decentralized artificial intelligence in cancer histopathology
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access

Oliver Lester Saldanha, Philip Quirke, Nicholas Paul West, Jacqueline A. James, Maurice Bernard Loughrey, Heike Irmgard Grabsch, +20 more

22

citations
FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning
2023 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

Roi Kugel, Joop Schaye, Matthieu Schaller, John C Helly, Joey Braspenning, Carlos Silvestre Frenk, +13 more

7

citations
Technical Report on Neural Language Models and Few-Shot Learning for Systematic Requirements Processing in MDSE
2022 RWTH Publications (RWTH Aachen) preprint Computer Science Model-Driven Software Engineering Techniques Open access

Vincent Bertram, Miriam Boß, Evgeny Kusmenko, Imke Helene Nachmann, Bernhard Rumpe⋆, Danilo Trotta, +1 more

2

citations
The Push Forward in Rehabilitation; Validation of a Machine Learning Method for Detection of Wheelchair Propulsion Type
2023 Preprints.org preprint Computer Science Context-Aware Activity Recognition Systems Open access

R.M.A. van der Slikke, Arie‐Willem de Leeuw, Aleid de Rooij, Monique Berger

1

citations
End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability
2024 arXiv (Cornell University) preprint Engineering Optimal Power Flow Distribution Open access

Hinrikus Wolf, Luis Böttcher, Sarra Bouchkati, Philipp Lutat, Jens Breitung, Bastian Jung, +5 more

0

citations
Continuous monitoring of the use of molecular diagnostics in oncology: advancing towards a learning health system
2025 medRxiv preprint Health Professions Electronic Health Records Systems Open access

Kees C.W.J. Ebben, Femke J. C. Jacobs, Robin Pasman, Carin Louis - van den Broek, Cor Doede de Kroon, Anthonie J. van der Wekken, +10 more

0

citations
Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines
2022 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Armin Norouzi, Saeid Shahpouri, Alexander Winkler, Eugen Nuss

0

citations
Graph Machine Learning for Design of High-Octane Fuels
2022 RWTH Publications (RWTH Aachen) preprint Materials Science Machine Learning in Materials Science Open access

Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Jana M. Weber, Philipp Morsch, K. Alexander Heufer, +3 more

0

citations
Reinforcement Learning with Verifiable Rewards for Small Search Agents
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Gaurisankar Jayadas, Aske Plaat, Álvaro Serra-Gómez, Sandheep P

0

citations
Upside Down Reinforcement Learning with Policy Generators
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Dylan R. Ashley, Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber

0

citations
Towards General Deep Leakage in Federated Learning
2021 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Jiahui Geng, Yongli Mou, Li Fei-Fei, Qing Li, Oya Beyan, Stefan Decker, +1 more

23

citations
Deep Learning for Instance Retrieval: A Survey
2021 arXiv (Cornell University) preprint Computer Science Image Retrieval and Classification Techniques Open access

Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Paul Fieguth, Li Liu, +1 more

5

citations
Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA
2025 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Georgios Andreadis, Eduard Ruiz Munné, Thomas Bäck, Peter A. N. Bosman, Tanja Alderliesten

1

citations
Euclid preparation. Measuring detailed galaxy morphologies for Euclid with Machine Learning
2024 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

Euclid Collaboration, Ben Aussel, S. Kruk, M. Walmsley, Marc Huertas-Company, M Castellano, +94 more

0

citations
Geometric Deep Learning Methods for Improved Generalizability in Medical Computer Vision: Hyperbolic Convolutional Neural Networks in Multi-Modality Neuroimaging
2024 medRxiv preprint Computer Science Advanced Neural Network Applications Open access

Cyrus Ayubcha, Sulaiman Sajed, Chady Omara, Anna B. Veldman, Shashi B. Singh, Yashas Ullas Lokesha, +4 more

0

citations
Demo: Testing AI-driven MAC Learning in Autonomic Networks
2024 arXiv (Cornell University) preprint Computer Science Software-Defined Networks and 5G Open access

Leonard Paeleke, Navid Keshtiarast, Paul Seehofer, Roland Bless, Holger Karl, Marina Petrova, +1 more

0

citations
MACE: A Machine learning Approach to Chemistry Emulation
2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Silke Maes, F. De Ceuster, Marie Van de Sande, L. Decin

0

citations
Data Auditing and Quality Assurance in a Federated Learning Consortium; Getting the Best of Both Worlds from Cross-Institutional and In-House Data Quality Inspection
2026 medRxiv preprint Decision Sciences Data Quality and Management Open access

Joshi Hogenboom, Natacha Perez, Quentin Filori, Alric Sans, Aiara Lobo Gomes, Andre L.A.J. Dekker, +5 more

0

citations
Generating Input Data for Microstructure Modelling: A Deep Learning Approach Using Generative Adversarial Networks
2020 Preprints.org preprint Materials Science Machine Learning in Materials Science Open access

Felix Pütz, Manuel Henrich, Niklas C. Fehlemann, Sebastian Münstermann

7

citations
Deep and accurate detection of m 6 A RNA modifications using miCLIP2 and m6Aboost machine learning
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology RNA modifications and cancer Open access

Nadine Körtel, Cornelia Rücklé, You Zhou, Anke Busch, Peter Hoch-Kraft, F.X. Reymond Sutandy, +12 more

3

citations
Learning How to Search for Plans with Exponentially Less Space
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Dominik Drexler, Simon Ståhlberg, Markus Fritzsche, Blai Bonet

0

citations
ForwardFlow: Simulation only statistical inference using deep learning
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Stefan Böhringer

0

citations
Learning Lifted Action Models from Traces with Minimal Information About Actions and States
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Jonas Gösgens, Niklas Jansen, Hector Geffner

0

citations
Learning Lifted Action Models from Traces with Minimal Information About Actions and States
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Jonas Gösgens, Niklas Jansen, Hector Geffner

0

citations