publications

in reverse chronological order.

2026

  1. Book chapter
    AI Surrogacy in Psychological Research
    William D’Alessandro and Jessica Thompson
    In The Role of Artificial Intelligence in Science: Methodological and Epistemological Studies, 2026
    Forthcoming
    HTML
  2. ICLR
    Reward models inherit value biases from pretraining
    Brian Christian, Jessica Thompson, Elle Michelle Yang, and 4 more authors
    In International Conference on Learning Representations (ICLR), 2026
    arXiv HTML
  3. Nat Hum Behav
    Humans and neural networks show similar patterns of transfer and interference during continual learning
    Eleanor Holton, Lukas Braun, Jessica Thompson, and 2 more authors
    Nature Human Behaviour, 2026
    DOI

2025

  1. FAccT
    Reward Model Interpretability via Optimal and Pessimal Tokens
    Brian Christian, Hannah Rose Kirk, Jessica Thompson, and 2 more authors
    In Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2025
    DOI

2024

  1. Neuron
    Zero-shot counting with a dual-stream neural network model
    Jessica Thompson, Hannah Sheahan, Tsvetomira Dumbalska, and 3 more authors
    Neuron, 2024
    DOI arXiv

2023

  1. BBS
    Thinking beyond the ventral stream: Comment on Bowers et al.
    Christopher Summerfield and Jessica Thompson
    Behavioral and Brain Sciences, 2023
    DOI HTML

2022

  1. NeurIPS-W
    Learning to count visual objects by combining “what” and “where” in recurrent memory
    Jessica Thompson, Hannah Sheahan, and Christopher Summerfield
    In NeurIPS 2022 Workshop on Gaze Meets ML, 2022
    HTML

2021

  1. J Neurophysiol
    Forms of explanation and understanding for neuroscience and artificial intelligence
    Jessica Thompson
    Journal of Neurophysiology, 2021
    DOI
  2. PLoS Biol
    Noise increases the correspondence between artificial and human vision
    Jessica Thompson
    PLoS Biology, 2021
    DOI
  3. bioRxiv
    Training neural networks to recognize speech increased their correspondence to the human auditory pathway but did not yield a shared hierarchy of acoustic features
    Jessica Thompson, Yoshua Bengio, Elia Formisano, and 1 more author
    bioRxiv, 2021
    DOI

2019

  1. arXiv
    The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis
    Jessica Thompson, Yoshua Bengio, and Marc Schönwiesner
    arXiv preprint arXiv:1912.02260, 2019
    HTML
  2. ICASSP
    How transferable are features in convolutional neural network acoustic models across languages?
    Jessica Thompson, Marc Schönwiesner, Yoshua Bengio, and 1 more author
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
    DOI

2018

  1. arXiv
    How can deep learning advance computational modeling of sensory information processing?
    Jessica Thompson, Yoshua Bengio, Elia Formisano, and 1 more author
    arXiv preprint arXiv:1810.08651, 2018
    HTML
  2. CCN
    Towards a common theory of explanation for artificial and biological intelligence
    Jessica Thompson
    In Conference on Cognitive Computational Neuroscience (CCN), 2018
    PDF Poster

2014

  1. J Neurophysiol
    Human cortical responses to slow and fast binaural beats reveal multiple mechanisms of binaural hearing
    Bernhard Ross, Takahiro Miyazaki, Jessica Thompson, and 2 more authors
    Journal of Neurophysiology, 2014
    DOI

2013

  1. Brain Res
    Sound envelope encoding in the auditory cortex revealed by neuromagnetic responses in the theta to gamma frequency bands
    Takahiro Miyazaki, Jessica Thompson, Takako Fujioka, and 1 more author
    Brain Research, 2013
    DOI
  2. NIPS-W
    Audio stimulus reconstruction using multi-source semantic embedding
    Jessica Thompson, Michael Casey, and Lorenzo Torresani
    In NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI), 2013

2012

  1. MLINI
    Population codes representing musical timbre for high-level fMRI categorization of music genres
    Michael Casey, Jessica Thompson, Olivia Kang, and 2 more authors
    In Machine Learning and Interpretation in Neuroimaging, 2012
    DOI
  2. NIPS-W
    Musical neurosemantic decoding using online weighted approximate-rank pairwise loss optimization in a joint semantic space
    Jessica Thompson, Michael Casey, and Lorenzo Torresani
    In NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI), 2012
  3. ISMIR
    Digital Document Image Retrieval Using Optical Music Recognition
    Andrew Hankinson, John Ashley Burgoyne, Gabriel Vigliensoni, and 5 more authors
    In Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR), 2012
    PDF
  4. ISMIR
    Music imagery information retrieval: Bringing the song on your mind back to your ears
    Sebastian Stober and Jessica Thompson
    In 13th International Society for Music Information Retrieval Conference (ISMIR), Late-Breaking & Demo Papers, 2012

2011

  1. ISMIR
    Searching the Liber Usualis: Using CouchDB and ElasticSearch to query graphical music documents
    Jessica Thompson, Andrew Hankinson, and Ichiro Fujinaga
    In 12th International Society for Music Information Retrieval Conference (ISMIR), Late-Breaking & Demo Papers, 2011
    PDF

2009

  1. ISMIR
    Additions and improvements to the ACE 2.0 music classifier
    Jessica Thompson, Cory McKay, John Ashley Burgoyne, and 1 more author
    In Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR), 2009
    PDF
  2. ISMIR
    Using ACE XML 2.0 to store and share feature, instance and class data for musical classification
    Cory McKay, John Ashley Burgoyne, Jessica Thompson, and 1 more author
    In Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR), 2009
    PDF