Bondesan, Roberto
- Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts
2025/03/04 by Marta Skreta, Tara Akhound-Sadegh, Skreta, Marta +15 · 31 citations
Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Opinion Dynamics and Social Influence
- The END: An Equivariant Neural Decoder for Quantum Error Correction
2023/04/14 by Evgenii Egorov, Roberto Bondesan, Egorov, Evgenii +3 · 4 citations
Computer Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)
- Robust Scheduling with GFlowNets
2023/01/17 by David W. Zhang, Zhang, David W., Corrado Rainone +5 · 4 citations
Computer Science · Materials Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Parallel Computing and Optimization Techniques #Programming Languages (cs.PL)
- Learning Symmetries of Classical Integrable Systems
2019/06/11 by Roberto Bondesan, Bondesan, Roberto, Austen Lamacraft +1 · 2 citations
Computer Science · #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Topic Modeling
- The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
2021/03/08 by Roberto Bondesan, Bondesan, Roberto, Max Welling +1 · 2 citations
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Optical Network Technologies #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph)
- Polynomial Time Quantum Gibbs Sampling for Fermi-Hubbard Model at any Temperature
2025/01/02 by Šmíd, Štěpán, Meister, Richard, Berta, Mario +1 · 5 citations
#FOS: Physical sciences #Mathematical Physics (math-ph) #Quantum Physics (quant-ph)
- Quantum Deformed Neural Networks
2020/10/21 by Bondesan, Roberto, Welling, Max · 1 citation
#FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Physics (quant-ph)
- Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel
2021/02/26 by Changyong Oh, Roberto Bondesan, Oh, Changyong +5 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Search Problems
- Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows
2021/10/06 by Pim de Haan, Corrado Rainone, de Haan, Pim +5 · 1 citation
Computer Science · Decision Sciences · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #Machine Learning (cs.LG) #Particle physics theoretical and experimental studies #Scientific Computing and Data Management #Statistical Mechanics (cond-mat.stat-mech) #Topic Modeling
- Deterministic Gibbs Sampling via Ordinary Differential Equations
2021/06/18 by Neklyudov, Kirill, Bondesan, Roberto, Welling, Max · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Neural Topological Ordering for Computation Graphs
2022/07/13 by Gagrani, Mukul, Rainone, Corrado, Yang, Yang +7 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Accurate Learning of Equivariant Quantum Systems from a Single Ground State
2024/05/20 by Štěpán Šmíd, Roberto Bondesan, Šmíd, Štěpán +1 · 1 citation
Computer Science · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)
- Non-Perturbative Trivializing Flows for Lattice Gauge Theories
2024/10/17 by Mathis Gerdes, Pim de Haan, Gerdes, Mathis +5 · 1 citation
Economics, Econometrics and Finance · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #High Energy Physics - Theory (hep-th) #Machine Learning (cs.LG) #Physics of Superconductivity and Magnetism #Statistical Mechanics (cond-mat.stat-mech) #Stochastic processes and financial applications #Theoretical and Computational Physics