Publications

2026

  • Mind Design, AI Epistemology, and Outsourcing
    S Gubka, G Mindt, S Schneider
    Social Epistemology (2026)
    Link
  • Superpsychism
    S Schneider, M Bailey
    Journal of Consciousness Studies (2026)
    Link
  • World Properties without World Models: Recovering Spatial and Temporal Structure from Co-occurrence Statistics in Static Word Embeddings
    E Barenholtz
    arXiv (2026)
    Link

2025

  • Chatbot epistemology
    S Schneider
    Social Epistemology (2025)
    Link
  • Emergent Quantum Mechanics and General Relativity: A Prototime Route to Quantum Gravity and Spacetime
    S Schneider, M Bailey
    (2025)
    Link
  • Is AI conscious? A primer on the myths and confusions driving the debate
    S Schneider, D Sahner, RL Kuhn, E Schwitzgebel
    (2025)
    Link
  • The Quantum Darwinist Theory of Consciousness
    S Schneider, M Bailey
    (2025)
    Link
  • When wholes resist decomposition: A spectral measure of epistemic emergence
    M Bailey, S Schneider
    (2025)
    Link

2023

  • Consciousness beyond the human case
    S Schneider, et al
    Current Biology (2023)
    Link

2022

  • Predicting nepse index price using deep learning models
    NR Pokhrel, KR Dahal, R Rimal, HN Bhandari, RKC Khatri, B Rimal, W Hahn
    Machine Learning with Applications (2022)
    Link
  • Predicting residues involved in anti-DNA autoantibodies with limited neural networks
    R St. Clair, M Teti, M Pavlovic, W Hahn, E Barenholtz
    Medical & Biological Engineering & Computing (2022)
    Link

2021

  • A controlled investigation of behaviorally-cloned deep neural network behaviors in an autonomous steering task
    M Teti, WE Hahn, S Martin, C Teti, E Barenholtz
    Robotics and Autonomous Systems (2021)
    Link
  • Online surveillance of novel psychoactive substances (NPS)
    E Barenholtz, AJ Krotulski, P Morris, ND Fitzgerald, A Le, DM Papsun, W Hahn
    International Journal of Drug Policy (2021)
    Link
  • The Role of Bio-Inspired Modularity in General Learning
    RA StClair, WE Hahn, E Barenholtz
    International Conference on Artificial General Intelligence (2021)
    Link
  • Using conditional generative adversarial networks to reduce the effects of latency in robotic telesurgery
    N Sachdeva, M Klopukh, RS Clair, WE Hahn
    Journal of Robotic Surgery (2021)
    Link

2020

  • Gender perception from gait: A comparison between biological, biomimetic and non-biomimetic learning paradigms
    V Sarangi, A Pelah, WE Hahn, E Barenholtz
    Frontiers in Human Neuroscience (2020)
    Link
  • Machine-learning approaches to substance-abuse research: emerging trends and their implications
    E Barenholtz, ND Fitzgerald, WE Hahn
    Current Opinion in Psychiatry (2020)
    Link
  • Predicting binding from screening assays with transformer network embeddings
    P Morris, R St. Clair, WE Hahn, E Barenholtz
    Journal of Chemical Information and Modeling (2020)
    Link

2018

  • A systematic comparison of deep learning architectures in an autonomous vehicle
    M Teti, WE Hahn, S Martin, C Teti, E Barenholtz
    arXiv preprint (2018)
    Link
  • Convolutional neural networks for predicting molecular binding affinity to HIV-1 proteins
    P Morris, Y DaSilva, E Clark, WE Hahn, E Barenholtz
    ACM International Conference on Bioinformatics (2018)
    Link

2016

  • Sparse coding and compressed sensing: Locally competitive algorithms and random projections
    WE Hahn
    Florida Atlantic University (Dissertation) (2016)
    Link