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Papers matching “scalable learning” 73

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Learning Lifted STRIPS Models from Action Traces Alone: A Simple, General, and Scalable Solution
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Jonas Gösgens, Héctor Geffner

0

citations
Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Julius Jagdt, Johanna Menn, Sebastian Trimpe, Melanie N. Zeilinger, Anna Scampicchio

0

citations
Towards Scalable and Feature-Driven Validation of Cyber-Physical Systems via Active Exploration of Scenario Spaces
2025 preprint Decision Sciences Simulation Techniques and Applications Open access

Osama Maqbool, Jürgen Roßmann

0

citations
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Dominik Baumann

0

citations
On-Chip Learning via Transformer In-Context Learning
2024 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Jan Finkbeiner, Emre Neftci

0

citations
EconoJax: A Fast & Scalable Economic Simulation in Jax
2024 RePEc: Research Papers in Economics preprint Computer Science Reinforcement Learning in Robotics Open access

Koen Ponse, Aske Plaat, Bas van Stein, Thomas M. Moerland

0

citations
Learning Sketch Decompositions in Planning via Deep Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Michael Aichmüller, Héctor Geffner

0

citations
Histological triage of early-stage mycosis fungoides using a weakly supervised deep learning-based model: a multicentre, external validation, and clinical utility study
2026 medRxiv preprint Medicine Cutaneous lymphoproliferative disorders research Open access

Thom Doeleman, Siemen Brussee, P. Valkema, Werner Kempf, Maarten H. Vermeer, Jesper Kers, +13 more

0

citations
SwarmMAP: Swarm Learning for Decentralized Cell Type Annotation in Single Cell Sequencing Data
2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access

Oliver Lester Saldanha, Vivien Goepp, Hyojin Kim, Jie Ping Zhu, Rafael Kramann, Sikander Hayat, +1 more

1

citations
Quantum Deep Learning: A Comprehensive Review
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Yanjun Ji, Zhao-Yun Chen, Marco Roth, David A. Kreplin, Christian Schiffer, Martin King, +7 more

0

citations
SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning
2025 arXiv (Cornell University) preprint Computer Science Human Pose and Action Recognition Open access

Fida Mohammad Thoker, Letian Jiang, Chen Zhao, Piyush Bagad, Hazel Doughty, Bernard Ghanem, +1 more

0

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Quantum Deep Learning: A Comprehensive Review
2026 JuSER (Forschungszentrum Jülich) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Yanjun Ji, Zhao-Yun Chen, Marco Roth, David A. Kreplin, Christian Schiffer, Martin King, +7 more

0

citations
Perspectives of Physics-Based Machine Learning for Geoscientific Applications Governed by Partial Differential Equations
2023 preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Daniel Caviedes‐Voullième, Susanne Buiter, Harrie-Jan Hendriks Franssen, Harry Vereecken, Ana González‐Nicolás, +1 more

5

citations
Symmetry-invariant quantum machine learning force fields
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino

4

citations
Learning Explainable and Better Performing Representations of POMDP Strategies
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Alexander Bork, Debraj Chakraborty, Kush Grover, Jan Křetínský, Stefanie Mohr

2

citations
SCHNEL: Scalable clustering of high dimensional single-cell data
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access

Tamim Abdelaal, Paul de Raadt, Boudewijn P. F. Lelieveldt, Marcel J. T. Reinders, Ahmed Essam Mahfouz

2

citations
Extraction of Quantitative Specimen Data using Machine Learning as a Service in the DiSSCo Research Infrastructure
2025 preprint Computer Science Advanced Neural Network Applications Open access

Claus Weiland, Jonas Grieb, Soulaine Theocharides, Sam Leeflang, Wouter Addink, Sharif Islam

1

citations
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers
2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Kai Lagemann, Christian Lagemann, Sach Mukherjee

1

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
Application of the learning from errors principle in tufting machines
2025 arXiv (Cornell University) preprint Computer Science Augmented Reality Applications Open access

LONGXIANG SHAO, Dominik Hüsener, Michael Schluse, Juergen Rossmann

0

citations
Application of the learning from errors principle in tufting machines
2025 arXiv (Cornell University) preprint Computer Science Augmented Reality Applications Open access

LONGXIANG SHAO, Dominik Hüsener, Michael Schluse, Juergen Rossmann

0

citations
Accurately Solving Physical Systems with Graph Learning
2020 arXiv (Cornell University) preprint Computer Science Computer Graphics and Visualization Techniques Open access

Tassilo Kugelstadt, Wojtek Pałubicki, Jan Bender, Sören Pirk, Dominik Ludewig Michels

4

citations
BanffNET, a Deep Learning System for Comprehensive Histological Lesion Quantification in Kidney Transplant Biopsies
2026 medRxiv preprint Computer Science AI in cancer detection Open access

Giorgio Buzzanca, Chiara Pala, Junling He, Rianne Hofstraat, Alessandra Tammaro, Dominique van Midden, +41 more

2

citations