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Papers matching “deep learning accelerators” 9

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TopoBench: A Framework for Benchmarking Topological Deep Learning
2024 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Lev Telyatnikov, Guillermo Bernárdez, Mustafa Hajij, Pavlo Vasylenko, Ghada Zamzmi, Michael T. Schaub, +4 more

0

citations
Transfer Learning and Curriculum Learning in Sokoban
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Zhao Yang, Mike Preuß, Aske Plaat

1

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Kai Ye, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

0

citations
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more

1

citations
Knowledge Graphs and Explainable AI for Drug Repurposing on Rare Diseases
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access

Pablo Perdomo-Quinteiro, Katherine Wolstencroft, Marco Roos, Núria Queralt-Rosiñach

7

citations
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-objective molecular optimization
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David F. Nippa, Kenneth Atz, Yannick Stenzhorn, Alex T. Müller, Andreas Tosstorff, Jörg Benz, +17 more

1

citations
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-objective molecular optimization
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David F. Nippa, Kenneth Atz, Yannick Stenzhorn, Alex T. Müller, Andreas Tosstorff, Jörg Benz, +17 more

1

citations

9 results