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Freiburg’s Pre-NeurIPS hosted by

Logo ELLIS Unit Freiburg
Freiburg’s Pre-NeurIPS Poster Session hosted by ELIZA

Poster Session at IMBIT

ELIZA featured the event at the NEXUS Lab of IMBIT. More than 10 scientific posters were presented, and over 80 participants from academia and industry attended the session.

It was the opportunity to view the latest research works from our ELLIS Unit, posters for the NeurIPS and EurIPS conferences, and from recent AI-related conferences as well. 

The event was marked by lively discussions, the exchange of ideas, and the exploration of new opportunities for collaboration.

If you would like to stay informed about our research, upcoming events like this or any other news you are welcome to sign up to our mailing list. Send a mail to ellis-subscribe@blbt.uni-freiburg.de

Posters presented:

  1. Hindel J, Mekic E, Naga Karthik E, Mohan R, Cattaneo D, Kalweit M, Valada A, 2025. Dynamic Robot-Assisted Surgery with Hierarchical Class-Incremental Semantic Segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention – Advanced Machine Learning for Medical Imaging (MICCAI AMAI 2025). DOI: https://arxiv.org/abs/2508.01713
  2. Werby A, Büchner M, Röfer A, Huang C, Burgard W, Valada A, 2025. Articulated Object Estimation in the Wild. Conference on Robot Learning (CoRL 2025). DOI: https://arxiv.org/abs/2509.01708
  3. Kassab C, Morin S, Büchner M, Mattamala M, Gupta K, Valada A, Paull L, Fallon M, 2025. OpenLex3D: A New Evaluation Benchmark for Open-Vocabulary 3D Scene Representations. Conference on Neural Information Processing Systems (NeurIPS 2025). DOI: https://arxiv.org/abs/2503.19764
  4. Mousakhan A, Mittal S, Galesso S, Farid K, Brox T, 2025. Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models. Conference on Neural Information Processing Systems (NeurIPS 2025). DOI: https://arxiv.org/abs/2507.13162
  5. Naouar M, Vogt Y, Boedecker J, Kalweit G, Kalweit M, 2025. One For All: A Unified Approach to Classification and Self-Explanation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2025). DOI: https://papers.miccai.org/miccai-2025/paper/4655_paper.pdf
  6. Pfefferle A, Hog J, Purucker L, Hutter F, 2025. nanoTabPFN: A Lightweight and Educational Reimplementation of TabPFN. European Conference on Neural Information Processing Systems – AI for Tabular Data Workshop (EurIPS 2025). DOI: https://arxiv.org/abs/2511.03634
  7. Erickson N, Purucker L, Tschalzev A, Holzmüller D, Mutalik Desai P, Salinas D, Hutter F, 2025. TabArena: A Living Benchmark for Machine Learning on Tabular Data.
    Conference on Neural Information Processing Systems (NeurIPS 2025). DOI: https://arxiv.org/abs/2506.16791
  8. Zehle T, Schlager M, Heiß T, Feurer M, 2025. CAPO: Cost-Aware Prompt Optimization. International Conference on Automated Machine Learning (AutoML 2025). DOI: https://openreview.net/forum?id=UweaRrg9D0
  9. Ging S, Walter S, Bratulić J, Dienert J, Bast H, Brox T, 2025. Using Knowledge Graphs to Harvest Datasets for Efficient CLIP Model Training. German Conference on Pattern Recognition (GCPR 2025). DOI: https://arxiv.org/abs/2505.02746
  10. Bratulić J, Mittal S, Hoffmann DT, Boehm S, Schirrmeister RT, Ball T, Rupprecht C, Brox T, 2025. Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling. German Conference on Pattern Recognition (GCPR 2025). DOI: https://arxiv.org/abs/2501.06256
  11. Robertson J, Reuter A, Guo S, Hollmann N, Hutter F, Schölkopf B, 2025. Do-PFN: In-Context Learning for Causal Effect Estimation. Conference on Neural Information Processing Systems / European Conference on Neural Information Processing Systems (NeurIPS/EurIPS 2025).
  12. Bühler M, Purucker L, Hutter F, 2025. Causal Data Augmentation for Robust Fine-Tuning of Tabular Foundation Models. European Conference on Neural Information Processing Systems – AI for Tabular Data Workshop (EurIPS 2025). DOI: https://openreview.net/forum?id=EfQv02muYG&noteId=EfQv02muYG
  13. Das I, Safari M, Adriaensen S, Hutter F, 2025. Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics. Conference on Neural Information Processing Systems (NeurIPS 2025). DOI: https://arxiv.org/abs/2502.03654