Roberto Bondesan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Ordinary Differential Equations

Top Venues

Publications

Stepán Smíd, Roberto Bondesan
Accurate Learning of Equivariant Quantum Systems from a Single Ground State. CoRR (2024)
David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan
Robust Scheduling with GFlowNets. CoRR (2023)
Stepán Smíd, Roberto Bondesan
Efficient Learning of Long-Range and Equivariant Quantum Systems. CoRR (2023)
Alvaro H. C. Correia, Daniel E. Worrall, Roberto Bondesan
Neural Simulated Annealing. AISTATS (2023)
David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan
Robust Scheduling with GFlowNets. ICLR (2023)
Evgenii Egorov, Roberto Bondesan, Max Welling
The END: An Equivariant Neural Decoder for Quantum Error Correction. CoRR (2023)
Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Roberto Bondesan, Herke van Hoof, Christopher Lott, Weiliang Will Zeng, Piero Zappi
Neural Topological Ordering for Computation Graphs. NeurIPS (2022)
ChangYong Oh, Roberto Bondesan, Dana Kianfar, Rehan Ahmed, Rishubh Khurana, Payal Agarwal, Romain Lepert, Mysore Sriram, Max Welling
Bayesian Optimization for Macro Placement. CoRR (2022)
Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Herke Van Hoof, Weiliang Will Zeng, Piero Zappi, Christopher Lott, Roberto Bondesan
Neural Topological Ordering for Computation Graphs. CoRR (2022)
ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel. NeurIPS (2022)
Daniel E. Worrall, Markus Peschl, Arash Behboodi, Roberto Bondesan
Learning Perturbations for Soft-Output Linear MIMO Demappers. CoRR (2022)
Alvaro H. C. Correia, Daniel E. Worrall, Roberto Bondesan
Neural Simulated Annealing. CoRR (2022)
Mathis Gerdes, Pim de Haan, Corrado Rainone, Roberto Bondesan, Miranda C. N. Cheng
Learning Lattice Quantum Field Theories with Equivariant Continuous Flows. CoRR (2022)
Daniel E. Worrall, Markus Peschl, Arash Behboodi, Roberto Bondesan
Learning Perturbations for Soft-Output Linear MIMO Demappers. GLOBECOM (2022)
Roberto Bondesan, Max Welling
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning. ICML (2021)
ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling
Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels. CoRR (2021)
Roberto Bondesan, Max Welling
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning. CoRR (2021)
Marc Anton Finzi, Roberto Bondesan, Max Welling
Probabilistic Numeric Convolutional Neural Networks. ICLR (2021)
Pim de Haan, Corrado Rainone, Miranda C. N. Cheng, Roberto Bondesan
Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows. CoRR (2021)
Kirill Neklyudov, Roberto Bondesan, Max Welling
Deterministic Gibbs Sampling via Ordinary Differential Equations. CoRR (2021)
Roberto Bondesan, Max Welling
Quantum Deformed Neural Networks. CoRR (2020)
Marc Finzi, Roberto Bondesan, Max Welling
Probabilistic Numeric Convolutional Neural Networks. CoRR (2020)
Roberto Bondesan, Austen Lamacraft
Learning Symmetries of Classical Integrable Systems. CoRR (2019)