Leon Lang

PhD Candidate (advised by Patrick Forré and Clélia de Mulatier)
AMLab and CSL
Informatics Institute
University of Amsterdam
Science Park, Lab 42, L4.14

 

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I am a PhD student in Information Theory and Machine learning at the Amsterdam Machine Learning Lab (AMLab) and Computational Science Lab (CSL). I am interested in the theory of equivariant deep learning, machine learning generally, and the foundations of multivariate information theory.


Selected Publications

  1. Preprint
    Information Decomposition Diagrams Applied beyond Shannon Entropy: A Generalization of Hu’s Theorem
    Lang, Leon, Baudot, Pierre, Quax, Rick, and Forré, Patrick
    arXiv e-prints Jul 2022
  2. ICLR
    A Program to Build E(N)-Equivariant Steerable CNNs
    Cesa, Gabriele, Lang, Leon, and Weiler, Maurice
    In International Conference on Learning Representations Jul 2022
  3. ICLR
    A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
    Lang, Leon, and Weiler, Maurice
    In International Conference on Learning Representations Aug 2021
  4. EMNLP-LANTERN
    Learning to Request Guidance in Emergent Communication
    Kolb, Benjamin, Lang, Leon, Bartsch, Henning, Gansekoele, Arwin, Koopmanschap, Raymond, Romor, Leonardo, Speck, David, Mul, Mathijs, and Bruni, Elia
    LANTERN@EMNLP-IJCNLP 2019 - Beyond Vision and LANguage: inTEgrating Real-World kNowledge, Proceedings Aug 2019