Thomas Hofmann

Venues

Frequent coauthors

Papers

1. Causal Estimation of Tokenisation Bias
   ACL 2025 ·

   Pietro Lesci

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2. Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations
   AISTATS 2025 ·

   Amir Joudaki

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3. Generalized Interpolating Discrete Diffusion
   ICML 2025 ·

   Dimitri von Rütte

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4. LIME: Localized Image Editing via Attention Regularization in Diffusion Models
   WACV 2025 ·

   Enis Simsar

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5. LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
   CVPR 2025 ·

   Enis Simsar

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6. On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages
   AAAI 2025 ·

   Aleksandar Terzic

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7. Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment
   ICML 2025 ·

   Yuhui Ding

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8. Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models
   NeurIPS 2025 ·

   Aleksandar Terzic

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9. The Directionality of Optimization Trajectories in Neural Networks
   ICLR 2025 ·

   Sidak Pal Singh

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10. The Importance of Being Lazy: Scaling Limits of Continual Learning
    ICML 2025 ·

    Jacopo Graldi

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11. The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability?
    NeurIPS 2025 ·

    Denis Sutter

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12. UIP2P: Unsupervised Instruction-Based Image Editing via Edit Reversibility Constraint
    ICCV 2025 ·

    Enis Simsar

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13. A Language Model's Guide Through Latent Space
    ICML 2024 ·

    Dimitri von Rütte

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14. An Art-Centric Perspective on AI-Based Content Moderation of Nudity
    ECCV 2024 ·

    Piera Riccio

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15. Causal Estimation of Memorisation Profiles
    ACL 2024 ·

    Pietro Lesci

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16. Exposed or Erased: Algorithmic Censorship of Nudity in Art
    CHI 2024 ·

    Piera Riccio

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17. How Good is a Single Basin?
    AISTATS 2024 ·

    Kai Lion

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18. Local and Global Decoding in Text Generation
    EMNLP 2024 ·

    Daniel Gareev

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19. Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
    ICML 2024 ·

    Sotiris Anagnostidis

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20. On the Effect of (Near) Duplicate Subwords in Language Modelling
    ACL 2024 ·

    Anton Schäfer

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21. Recurrent Distance Filtering for Graph Representation Learning
    ICML 2024 ·

    Yuhui Ding

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22. Simplifying Transformer Blocks
    ICLR 2024 ·

    Bobby He

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23. Super Consistency of Neural Network Landscapes and Learning Rate Transfer
    NeurIPS 2024 ·

    Lorenzo Noci

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24. Towards Meta-Pruning via Optimal Transport
    ICLR 2024 ·

    Alexander Theus

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25. Transformer Fusion with Optimal Transport
    ICLR 2024 ·

    Moritz Imfeld

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26. Understanding and Minimising Outlier Features in Transformer Training
    NeurIPS 2024 ·

    Bobby He

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