publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. Accurate Learning of Equivariant Quantum Systems from a Single Ground State
    Štěpán Šmíd ,  and  Roberto Bondesan
    2024
  2. Quantum Approximate Optimisation for Not-All-Equal SAT
    Andrew El-Kadi ,  and  Roberto Bondesan
    2024
  3. Efficient Learning of Long-Range and Equivariant Quantum Systems
    Štěpán Šmíd ,  and  Roberto Bondesan
    2024

2023

  1. The END: An Equivariant Neural Decoder for Quantum Error Correction
    Evgenii Egorov* ,  Roberto Bondesan* ,  and  Max Welling
    In ICLR 2023 Workshop on Physics for Machine Learning , 2023
  2. Robust Scheduling with GFlowNets
    David W Zhang ,  Corrado Rainone ,  Markus Peschl , and 1 more author
    In The Eleventh International Conference on Learning Representations , 2023
  3. Neural Simulated Annealing
    Alvaro Correia ,  Daniel Worrall ,  and  Roberto Bondesan
    In Artificial Intelligence and Statistics 2023 , 2023

2022

  1. Learning Lattice Quantum Field Theories with Equivariant Continuous Flows
    Mathis Gerdes ,  Pim Haan ,  Corrado Rainone , and 2 more authors
    2022
  2. Neural Topological Ordering for Computation Graphs
    Mukul Gagrani ,  Corrado Rainone ,  Yang Yang , and 7 more authors
    Advances in Neural Information Processing Systems, 2022
  3. Bayesian Optimization for Macro Placement
    Changyong Oh ,  Roberto Bondesan ,  Dana Kianfar , and 6 more authors
    In ICML2022 Workshop on Adaptive Experimental Design and Active Learning in the Real World , 2022
  4. Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel
    Changyong Oh ,  Roberto Bondesan ,  Efstratios Gavves , and 1 more author
    In Advances in Neural Information Processing Systems , 2022

2021

  1. Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows
    Pim Haan ,  Corrado Rainone ,  Miranda Cheng , and 1 more author
    In NeurIPS 2021 Workshop on Machine Learning and the Physical Sciences , 2021
  2. Deterministic Gibbs Sampling via Ordinary Differential Equations
    Kirill Neklyudov ,  Roberto Bondesan ,  and  Max Welling
    2021
  3. Quantum inspired convolutional kernels for convolutional neural networks
    Roberto Bondesan ,  and  Max Welling
    Mar 2021
    US Patent App. 17/031,501
  4. The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
    Roberto Bondesan ,  and  Max Welling
    In Proceedings of the 38th International Conference on Machine Learning , Mar 2021
  5. Probabilistic Numeric Convolutional Neural Networks
    Marc Anton Finzi ,  Roberto Bondesan ,  and  Max Welling
    In International Conference on Learning Representations , Mar 2021

2020

  1. Quantum Deformed Neural Networks
    Roberto Bondesan ,  and  Max Welling
    Mar 2020

2019

  1. Learning symmetries of classical integrable systems
    Roberto Bondesan ,  and  Austen Lamacraft
    In ICML 2019 Workshop on Theoretical Physics for Deep Learning , Mar 2019

2018

  1. Effective edge state dynamics in the fractional quantum Hall effect
    R. Fern ,  R. Bondesan ,  and  S. H. Simon
    Phys. Rev. B, Mar 2018
  2. Structure of edge-state inner products in the fractional quantum Hall effect
    R. Fern ,  R. Bondesan ,  and  S. H. Simon
    Phys. Rev. B, Mar 2018

2017

  1. Classical topological paramagnetism
    R. Bondesan ,  and  Z. Ringel
    Phys. Rev. B, May 2017
  2. Gaussian free fields at the integer quantum Hall plateau transition
    R. Bondesan ,  D. Wieczorek ,  and  M.R. Zirnbauer
    Nuclear Physics B, May 2017
  3. Critical behaviour of spanning forests on random planar graphs
    Roberto Bondesan ,  Sergio Caracciolo ,  and  Andrea Sportiello
    Journal of Physics A: Mathematical and Theoretical, Jan 2017

2016

  1. Infinite Dimensional Matrix Product States for Long-Range Quantum Spin Models
    Roberto Bondesan ,  and  Thomas Quella
    In Lie Theory and Its Applications in Physics , Jan 2016

2015

  1. Chiral SU(2)k currents as local operators in vertex models and spin chains
    R Bondesan ,  J Dubail ,  A Faribault , and 1 more author
    Journal of Physics A: Mathematical and Theoretical, Jan 2015

2014

  1. Infinite matrix product states for long-range SU(N) spin models
    Roberto Bondesan ,  and  Thomas Quella
    Nuclear Physics B, Jan 2014
  2. Pure Scaling Operators at the Integer Quantum Hall Plateau Transition
    R. Bondesan ,  D. Wieczorek ,  and  M. R. Zirnbauer
    Phys. Rev. Lett., May 2014

2013

  1. Topological and symmetry broken phases of ZN parafermions in one dimension
    Roberto Bondesan ,  and  Thomas Quella
    Journal of Statistical Mechanics: Theory and Experiment, Oct 2013
  2. Rectangular amplitudes, conformal blocks, and applications to loop models
    Roberto Bondesan ,  Jesper L. Jacobsen ,  and  Hubert Saleur
    Nuclear Physics B, Oct 2013

2012

  1. Conformal boundary state for the rectangular geometry
    R. Bondesan ,  J. Dubail ,  J.L. Jacobsen , and 1 more author
    Nuclear Physics B, Oct 2012
  2. Exact Exponents for the Spin Quantum Hall Transition in the Presence of Multiple Edge Channels
    R. Bondesan ,  I. A. Gruzberg ,  J. L. Jacobsen , and 2 more authors
    Phys. Rev. Lett., Mar 2012

2011

  1. Edge states and conformal boundary conditions in super spin chains and super sigma models
    Roberto Bondesan ,  Jesper L. Jacobsen ,  and  Hubert Saleur
    Nuclear Physics B, Mar 2011

2008

  1. Single-Molecule Observation of Anomalous Electrohydrodynamic Orientation of Microtubules
    M. G. L. Heuvel ,  R. Bondesan ,  M. Cosentino Lagomarsino , and 1 more author
    Phys. Rev. Lett., Sep 2008