Roberto Bondesan

29 papers A* 6A 1B 1Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discrete Feynman-Kac Correctors. CoRR Mohsin Hasan, Viktor Ohanesian, Artem Gazizov, Yoshua Bengio, Alán Aspuru-Guzik, Roberto Bondesan, Marta Skreta, Kirill Neklyudov
2025	J	`jnl`	Assessing Quantum Advantage for Gaussian Process Regression. CoRR Dominic Lowe, M. S. Kim, Roberto Bondesan
2025	J	`jnl`	Efficient Learning of Long-Range and Equivariant Quantum Systems. Quantum Stepán Smíd, Roberto Bondesan
2025	A*	`conf`	Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts. ICML Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Alán Aspuru-Guzik, Arnaud Doucet, Rob Brekelmans, Alexander Tong, Kirill Neklyudov
2025	J	`jnl`	Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts. CoRR Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Alán Aspuru-Guzik, Arnaud Doucet, Rob Brekelmans, Alexander Tong, Kirill Neklyudov
2024	J	`jnl`	Accurate Learning of Equivariant Quantum Systems from a Single Ground State. CoRR Stepán Smíd, Roberto Bondesan
2024	J	`jnl`	Continuous normalizing flows for lattice gauge theories. CoRR Mathis Gerdes, Pim de Haan, Roberto Bondesan, Miranda C. N. Cheng
2023	J	`jnl`	Efficient Learning of Long-Range and Equivariant Quantum Systems. CoRR Stepán Smíd, Roberto Bondesan
2023	A	`conf`	Neural Simulated Annealing. AISTATS Alvaro H. C. Correia, Daniel E. Worrall, Roberto Bondesan
2023	A*	`conf`	Robust Scheduling with GFlowNets. ICLR David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan
2023	J	`jnl`	Robust Scheduling with GFlowNets. CoRR David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan
2023	J	`jnl`	The END: An Equivariant Neural Decoder for Quantum Error Correction. CoRR Evgenii Egorov, Roberto Bondesan, Max Welling
2022	A*	`conf`	Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel. NeurIPS ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling
2022	J	`jnl`	Bayesian Optimization for Macro Placement. CoRR ChangYong Oh, Roberto Bondesan, Dana Kianfar, Rehan Ahmed, Rishubh Khurana, Payal Agarwal, Romain Lepert, Mysore Sriram, Max Welling
2022	J	`jnl`	Learning Lattice Quantum Field Theories with Equivariant Continuous Flows. CoRR Mathis Gerdes, Pim de Haan, Corrado Rainone, Roberto Bondesan, Miranda C. N. Cheng
2022	B	`conf`	Learning Perturbations for Soft-Output Linear MIMO Demappers. GLOBECOM Daniel E. Worrall, Markus Peschl, Arash Behboodi, Roberto Bondesan
2022	J	`jnl`	Learning Perturbations for Soft-Output Linear MIMO Demappers. CoRR Daniel E. Worrall, Markus Peschl, Arash Behboodi, Roberto Bondesan
2022	J	`jnl`	Neural Simulated Annealing. CoRR Alvaro H. C. Correia, Daniel E. Worrall, Roberto Bondesan
2022	A*	`conf`	Neural Topological Ordering for Computation Graphs. NeurIPS Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Roberto Bondesan, Herke van Hoof, Christopher Lott, Weiliang Will Zeng, Piero Zappi
2022	J	`jnl`	Neural Topological Ordering for Computation Graphs. CoRR Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Herke van Hoof, Weiliang Will Zeng, Piero Zappi, Christopher Lott, Roberto Bondesan
2021	J	`jnl`	Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels. CoRR ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling
2021	J	`jnl`	Deterministic Gibbs Sampling via Ordinary Differential Equations. CoRR Kirill Neklyudov, Roberto Bondesan, Max Welling
2021	A*	`conf`	Probabilistic Numeric Convolutional Neural Networks. ICLR Marc Anton Finzi, Roberto Bondesan, Max Welling
2021	J	`jnl`	Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows. CoRR Pim de Haan, Corrado Rainone, Miranda C. N. Cheng, Roberto Bondesan
2021	A*	`conf`	The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning. ICML Roberto Bondesan, Max Welling
2021	J	`jnl`	The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning. CoRR Roberto Bondesan, Max Welling
2020	J	`jnl`	Probabilistic Numeric Convolutional Neural Networks. CoRR Marc Finzi, Roberto Bondesan, Max Welling
2020	J	`jnl`	Quantum Deformed Neural Networks. CoRR Roberto Bondesan, Max Welling
2019	J	`jnl`	Learning Symmetries of Classical Integrable Systems. CoRR Roberto Bondesan, Austen Lamacraft