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Showing papers from University of Freiburg Show all papers

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WayPOP: A Panoramic Open-Set Panoptic Tracking Benchmark

Rohit Mohan, Maximilian Luz, Swarnava Chowdhury, Yao Lu and 6 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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45%Niche pick
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When is Warmstarting Effective for Scaling Language Models?

Neeratyoy Mallik, Maciej Janowski, Johannes Hog, Herilalaina Rakotoarison and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Strong Post-Training from Permissive, Reasoning-Dominant, Web-Scale Pretraining

Harsh Raj, Ali Elganzory, Marianna Nezhurina, Victor May and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Rethinking Radar 3D Perception: Representation Learning from Raw Spectra

Miao Zhang, Mohamed Abdelsamad, Bin Yang, Sherif Abdulatif and 4 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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70%Highly rated
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Differentiable Nonlinear Model Predictive Control

Differentiable nonlinear MPC computes parametric NLP sensitivities via IFT and smoothed IPM conditions within SQP, achieving over 3x speedups versus prior solvers.

Jonathan Frey, Katrin Baumgärtner, Gianluca Frison, Dirk Reinhardt and 5 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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AI panel: 5 of 20 reviewers recommend it
lenient 2/5
medium 3/10
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88%Must read
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STRABLE: Benchmarking Tabular Machine Learning with Strings

STRABLE introduces 108 real-world string-and-number tables and benchmarks 445 pipelines, finding simple embeddings with advanced learners suffice for categorical tables while LLMs help on free-text tables.

Gioia Blayer, Myung Jun Kim, Félix Lefebvre, Lennart Purucker and 7 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 4 on Hugging Face

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5
88%Must read

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image

MulTaBench benchmarks 40 multimodal tabular datasets and shows target-aware tuning of text and image embeddings improves predictive performance over frozen embeddings.

Alan Arazi, Eilam Shapira, Shoham Grunblat, Mor Ventura and 7 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026 · ▲ 142 on Hugging Face

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5
71%Highly rated
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Spectral Alignment in Forward–Backward Representations via Temporal Abstraction

Temporal abstraction acts as a low-pass filter reducing effective successor representation rank to fix spectral mismatch in forward-backward representations and stabilize long-horizon continuous control learning.

Seyed Mahdi Basiri Azad, Jasper Hoffmann, Iman Nematollahi, Hao Zhu and 2 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 6 of 20 reviewers recommend it
lenient 2/5
medium 4/10
strict 0/5
80%Must read
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An Open-Source Training Dataset for Foundation Models for Black-box Optimization

BBO-Pile provides 500K real-world black-box optimization trajectories across 3095 problems, and trained foundation models show large-scale pre-training effectively imitates optimization methods.

Aaron Klein, Herilalaina Rakotoarison, Luca Thale-Bombien, David Salinas

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026 · ▲ 1 on Hugging Face

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 2/5