publications

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

2026

  1. ICLR
    Understanding Early Collapse in Predictive World-Model Pretraining
    Sofiane Ennadir*, Levente Zólyomi*, and Oleg Smirnov*
    In ICLR 2026 Workshop on World Models, 2026
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  2. ICML
    Nonlinear RNNs as a Compute Shortcut for Time Series Foundation Models
    Levente Zólyomi, David Stap, Sebastian Böck, Günter Klambauer, and Sepp Hochreiter
    In Foundational Models for Structured Data @ ICML 2026, 2026
  3. arXiv
    TiRex-2: Generalizing TiRex to Multivariate Data and Streaming
    Patrick Podest, Marco Pichler, Elias Bürger, Levente Zólyomi, Bernhard Voggenberger, Wilhelm Berghammer, Daniel Klotz, Sebastian Böck, Günter Klambauer, and Sepp Hochreiter
    arXiv preprint arXiv:2607.01204, 2026
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  4. arXiv
    On Subquadratic Architectures: From Applications to Principles
    Anamaria-Roberta Hartl*, Levente Zólyomi*, David Stap, Pieter-Jan Hoedt, Niklas Schmidinger, Lukas Hauzenberger, Sebastian Böck, Günter Klambauer, and Sepp Hochreiter
    arXiv preprint arXiv:2606.12364, 2026
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2025

  1. arXiv
    Unified Approaches in Self-Supervised Event Stream Modeling: Progress and Prospects
    Levente Zólyomi, Tianze Wang, Sofiane Ennadir, Oleg Smirnov, and Lele Cao
    arXiv preprint arXiv:2502.04899, 2025
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  2. NeurIPS
    Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models
    Sofiane Ennadir*, Levente Zólyomi*, Oleg Smirnov, Tianze Wang, John Pertoft, Filip Cornell, and Lele Cao
    In NeurIPS 2025, 2025
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2024

  1. TMLR
    Expressivity of representation learning on continuous-time dynamic graphs: An information-flow centric review
    Sofiane Ennadir, Gabriela Zarzar Gandler, Filip Cornell, Lele Cao, Oleg Smirnov, Tianze Wang, Levente Zólyomi, Björn Brinne, and Sahar Asadi
    Transactions on Machine Learning Research, 2024
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