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Papers matching “Monte Carlo methods” 14

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MULTI-OBJECTIVE SYNTHESIS PLANNING BY MEANS OF MONTE CARLO TREE SEARCH
2024 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Helen Lai, Christos C. Kannas, Alan Kai Hassen, Emma Rydholm, Annie M. Westerlund, Djork-Arné Clevert, +2 more

1

citations
MULTI-OBJECTIVE SYNTHESIS PLANNING BY MEANS OF MONTE CARLO TREE SEARCH
2024 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Helen Lai, Christos C. Kannas, Alan Kai Hassen, Emma Rydholm, Annie M. Westerlund, Djork-Arné Clevert, +2 more

0

citations
Mind the Retrosynthesis Gap: Bridging the divide between Single-step and Multi-step Retrosynthesis Prediction
2022 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Alan Kai Hassen, Paula Torren-Peraire, Samuel Genheden, Jonas Verhoeven, Mike Preuß, Igor V. Tetko

6

citations
MetalDock: an open access docking tool for easy and reproducible docking of metal complexes
2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Matthijs L. A. Hakkennes, Francesco Buda, Sylvestre A. Bonnet

1

citations
On Sampling-Based Training Criteria for Neural Language Modeling
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Yingbo Gao, David Thulke, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney

0

citations
Compilation of product-formula Hamiltonian simulation via reinforcement learning
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Lea M. Trenkwalder, Eleanor Scerri, Thomas E. O’Brien, Vedran Dunjko

1

citations
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning
2021 arXiv (Cornell University) preprint Computer Science Artificial Intelligence in Games Open access

Hui Wang, Mike Preuß, Aske Plaat

3

citations
Reinforced Efficient Reasoning via Semantically Diverse Exploration
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Ziqi Zhao, Zhaochun Ren, Jiahong Zou, Liu Yang, Zhiwei Xu, Xuri Ge, +6 more

0

citations
Reinforced Efficient Reasoning via Semantically Diverse Exploration
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Ziqi Zhao, Zhaochun Ren, Jiahong Zou, Liu Yang, Zhiwei Xu, Xuri Ge, +6 more

0

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
Convergence monitoring of quantum Gibbs samplers
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Nikolaos Louloudis, Rubén Ibarrondo, Mikel Sanz, Mario Berta

0

citations
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange‐Hegermann, Fabian Mies

0

citations
Fundamental thresholds of realistic quantum error correction circuits from classical spin models
2021 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Davide Vodola, Manuel Rispler, Seyong Kim, Markus Michael Müller

2

citations
Solving weakly supervised regression problem using low-rank manifold regularization
2021 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Vladimir Berikov, Alexander Litvinenko

2

citations

14 results