This is a complete list of my articles in peer-reviewed journals, invited talks I have given, etc. A full list of my preprints can always be found on the arXiv. My Google Scholar profile is here.

Articles in peer-reviewed journals/conferences

  1. Modelling the influence of data structure on learning in neural networks: the hidden manifold model
    S. Goldt, M. Mézard, F. Krzakala, L. Zdeborová

  2. Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup
    S. Goldt, M.S. Advani, A.M Saxe, F. Krzakala, L. Zdeborová
    NeurIPS 2019 (oral presentation)

  3. Generalisation dynamics of online learning in over-parameterised neural networks
    S. Goldt, M.S. Advani, A.M Saxe, F. Krzakala, L. Zdeborová
    ICML 2019 Workshop on Theoretical Physics for Deep Learning Theory
    DownloadPaper selected for a long presentation, see the video here.

  4. Thermodynamic efficiency of learning a rule in neural networks
    S. Goldt and U. Seifert
    New Journal of Physics 19 113001 (2017)
    Have a look at our Video Abstract!

  5. Stochastic Thermodynamics of Learning
    S. Goldt and U. Seifert
    Phys. Rev. Lett. 118 010601 (2017)
    AbstractDownloadarXiv:1611.09428See also the news coverage by and ScienceAlert!

  6. Stochastic Thermodynamics of Resetting (Editor’s choice and Top 2016 article)
    J. Fuchs*, S. Goldt* and U. Seifert
    Europhys. Lett. 113 (6) 60009 (2016)
    Abstract – Download – arXiv:1603.01141
    * These authors contributed equally to this work.

  7. Role of the potential landscape on the single-file diffusion through channels
    S. Goldt and E. Terentjev
    The Journal of Chemical Physics 141, 224901 (2014)

  8. Zinc Finger proteins and the 3D Organisation of Chromosomes
    C.J. Feinauer, A. Hofmann, G. Mate, L. Liu, S. Goldt, D.W. Heermann
    Adv. Protein Chem. Struct. Biol. 90, 67-117 (2013)

Invited talks

  1. Towards a theory of deep learning: challenges and opportunities from a physicist´s point of view
    Theoretical Phyisics Seminar, University of Stuttgart, Germany.
  2. Online learning in two-layer neural networks
    Programme on “The Rough High-Dimensional Landscape Problem”
    Kavli Institute for Theoretical Physics (KITP), Santa Barbara, CA, USA.
  3. Stochastic thermodynamics of Learning
    Workshop on Information Engines at the Frontiers of
    Nanoscale Thermodynamics, 2018
    Telluride, CO, USA
  4. Stochastic thermodynamics of Learning
    Jacobs-University Bremen, 2018
    Conference: “Biological Aging from the Perspective of Physics
  5. Stochastic thermodynamics: from colloidal particles to neural networks
    University of Bremen, 2017
    Graduate seminar “Structure and Dynamics of Decision Making