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Papers matching “scalable learning” 72

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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
Flow cytometry and machine learning enable identification of allergenic urban tree pollen
2026 preprint Medicine Allergic Rhinitis and Sensitization Open access

Sarah Tardif, Maria Raquel Kanieski, Gauthier Lapa, Grégoire Bonnamour, Rita Sousa‐Silva, Isabelle Laforest‐Lapointe, +1 more

0

citations
Graph Learning with 1D Convolutions on Random Walks.
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Toenshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe

5

citations
A Full Compression Pipeline for Green Federated Learning in Communication-Constrained Environments
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Elouan Colybes, Shirin Salehi, Anke Schmeink

0

citations
PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups
2026 medRxiv preprint Biochemistry, Genetics and Molecular Biology Genetic Associations and Epidemiology Open access

Hagai Levi, Qin Wang, Manjeet K. Bolla, Joe Dennis, Irene L. Andrulis, Natalia Antonenkova, +94 more

0

citations
Deep learning-based molecular morphometrics for kidney biopsies
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access

Marina Zimmermann, Martin Klaus, Milagros N. Wong, Ann-Katrin Thebille, Lukas Gernhold, Christoph Kuppe, +13 more

6

citations
Deep Learning of Causal Structures in High Dimensions
2022 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

0

citations
Scalable and interpretable quantum natural language processing: an implementation on trapped ions
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Tiffany Duneau, Gabriel Matos, Tuomas Laakkonen, Katerina Saiti, Anna Pearson, Konstantinos Meichanetzidis, +1 more

0

citations
Scalable Concept Extraction in Industry 4.0
2023 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Andrés Felipe Posada-Moreno, Florian Brillowski, Friedrich Solowjow, Thomas Gries

0

citations
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Lukas Kesper, Daniel Mayfrank, Henrik Hose, Sebastian Trimpe

0

citations
Explainable multi-view framework for dissecting intercellular signaling from highly multiplexed spatial data
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access

Jovan Tanevski, Ricardo O. Ramirez Flores, Attila Gábor, Denis Schapiro, Julio Sáez-Rodríguez

28

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
AI-Programmable Wireless Connectivity: Challenges and Research Directions Toward Interactive and Immersive Industry
2026 arXiv (Cornell University) preprint Engineering Advanced Wireless Communication Technologies Open access

Haris Gacanin

0

citations
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis
2022 arXiv (Cornell University) preprint Computer Science Machine Learning in Healthcare Open access

Firas Khader, Gustav Mueller-Franzes, Tianci Wang, Soroosh Tayebi Arasteh, Christoph Haarburger, Johannes Stegmaier, +5 more

3

citations
Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEA
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman

2

citations
Efficiently Escaping Saddle Points for Policy Optimization
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser

0

citations
The Impact of Asynchrony on Parallel Model-Based EAs
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman

0

citations
Drug Design in the Exascale Era: A Perspective from Massively Parallel QM/MM Simulations
2023 ChemRxiv preprint Physics and Astronomy Advanced Chemical Physics Studies Open access

Bharath Raghavan, Mirko Paulikat, Katya Ahmad, Lara Callea, Andrea Rizzi, Emiliano Ippoliti, +4 more

1

citations
Exploring the Phase Diagram of the quantum one-dimensional ANNNI model
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

María Cea, Michele Grossi, E. Rico, Luca Tagliacozzo, Sofia Vallecorsa

1

citations
Distributed Combinatorial Optimization of Downlink User Assignment in mmWave Cell-free Massive MIMO Using Graph Neural Networks
2024 arXiv (Cornell University) preprint Engineering Advanced MIMO Systems Optimization Open access

Bile Peng, Bihan Guo, Karl-Ludwig Besser, Luca Kunz, Ramprasad Raghunath, Anke Schmeink, +3 more

0

citations
Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

0

citations
Bridging HPC Communities through the Julia Programming Language
2022 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Valentin Churavy, William F. Godoy, Carsten Bauer, Hendrik Ranocha, Michael Schlottke‐Lakemper, Ludovic Räss, +6 more

18

citations
An Approach of Replicating Multi-Staged Cyber-Attacks and Countermeasures in a Smart Grid Co-Simulation Environment
2021 arXiv (Cornell University) preprint Engineering Smart Grid Security and Resilience Open access

Ömer Sen, Dennis van der Velde, Sebastian N. Peters, Martin Henze

2

citations
Improving the efficiency of GP-GOMEA for higher-arity operators
2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Thalea Schlender, Mafalda Malafaia, Tanja Alderliesten, Peter A. N. Bosman

0

citations