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Efficient Test-Time Adaptation For Robot Policies

Motasem Alfarra, Pietro Mazzaglia, Markus Peschl, Daniel Dijkman and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
medium 0/10
strict 0/5
45%Niche pick
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On the Tightness and Computational Tractability of Higher-Dimensional Confidence Sequences

Fabian Denoodt, Sibylle Hess, Joaquin Vanschoren, Christian Andersson Naesseth

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

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Geometry is an Operator: Lie-Algebraic Space Routing for View-Robust 3D MLLMs

Jingjun Yi, Chen Hu, Qi Bi, Hao Zheng and 6 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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JEPAWG: Interpretable Hypernetworks for Weight-Space Physics

Tobias Göbel, Julian R Ebelt, Zier Mensch, Mathis Gerdes and 1 more

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

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2-Step Agent: How a Bayesian Decision Maker Learns from AI-Decision Support

Otto Nyberg, Fausto Carcassi, Davide Tugnoli, Giovanni Cinà

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

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57%Worth a look
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StereoSplat: Metric-Scale Novel View Synthesis via Stereo-Grounded Gaussian Splatting

Vladimir Yugay, Denis Rozumny, Theo Gevers, Elias Vansteenkiste and 2 more

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

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lenient 1/5
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67%Highly rated
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PhysEval.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models

Emma Kasteleyn, Timo Maier, Axel Lauer, Veronika Eyring and 2 more

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

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lenient 2/5
medium 0/10
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57%Worth a look
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Perturb, Repair, Verify: Self-Play Vision-Language Verifiers for Compositional Understanding

Zijun Huang, Yingjun Du, Cees Snoek

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
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67%Highly rated
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Long-Rollout Stability in AI Weather Models: A Quantitative Benchmark and Analysis

Fanny Lehmann, Firat Ozdemir, Yun Cheng, Torsten Hoefler and 3 more

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

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lenient 2/5
medium 0/10
strict 0/5
74%Highly rated
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Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network

Dual-Rate Diffusion accelerates diffusion inference by interleaving sparse heavy context encoders with light denoising models, cutting computation 2-4x without quality loss.

Grigory Bartosh, David Ruhe, Emiel Hoogeboom, Jonathan Heek and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5
76%Highly rated
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EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge

EMERGE benchmarks knowledge graph updates via 233K Wikipedia passages mapped to 1.45M Wikidata edits across 2019, 2025. Experiments highlight challenges integrating emerging textual knowledge with existing graph structures.

Klim Zaporojets, Daniel Daza, Edoardo Barba, Ira Assent and 2 more

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

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 2/5
74%Highly rated
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Expressive Power of Deep Homomorphism Networks over Relational Databases

Deep Homomorphism Networks are linked to first-order logic fragments via SQL, and experiments confirm their differing predictive power.

Balder ten Cate, Maurice Funk, Benny Kimelfeld, Carsten Lutz and 2 more

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

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AI panel: 9 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 2/5
83%Must read
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Closing the Indexing-Decoding Gap in Multimodal Generative Retrieval via Prefix Retention Optimization

PRO closes the indexing-decoding gap in multimodal generative retrieval via prefix ranking distillation, vocabulary scheduling, and geometric score fusion to improve beam search retention and retrieval accuracy.

Yufei Chen, Zihan Wang, Yubao Tang, Yukun Zhao and 2 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 2/5
medium 8/10
strict 3/5
71%Highly rated
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Guided Data Generation for Understanding Model Behavior

A guided data generation framework generates input distributions to inspect trained model behaviors via specification functions.

Eren Mehmet KIRAL, Nursen Aydin, Ilker Birbil

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

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AI panel: 6 of 20 reviewers recommend it
lenient 4/5
medium 1/10
strict 1/5
83%Must read
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Follow the Mean: Reference-Guided Flow Matching

Flow matching enables controllable generation via reference-guided mean shifts without fine-tuning, yielding training-free control and swappable semi-parametric guidance.

Pedro Curvo, Maksim Zhdanov, Floor Eijkelboom, Jan-Willem van de Meent

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face · Code ★ 25

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5
72%Highly rated
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Re-evaluating Confidence Remasking in Masked Diffusion Language Models

Post-hoc confidence remasking in masked diffusion language models offers little benefit under standard decoding and worsens diversity collapse under stochastic sampling, showing setting-dependent gains.

Stipe Frković, Metod Jazbec, Dan Zhang, Christian Andersson Naesseth and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 2/10
strict 2/5
80%Must read
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Kernel-Gradient Drifting Models

Kernel-gradient drifting replaces Euclidean drift with kernel-induced directions, yielding identifiable one-step generative models extending to manifolds and discrete data via Fisher-Rao geometry.

Maria Esteban-Casadevall, Jorge Carrasco-Pollo, Max Welling, Jan-Willem van de Meent and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 3/5
medium 8/10
strict 1/5
86%Must read
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Gender Artifacts from Art History to Text-to-Image Generation

StyleGender analyzes gender artifacts across 19 art styles and text-to-image outputs, finding generative models amplify gender biases beyond historical sources.

Piera Riccio, Miriam Doh, Benedikt Höltgen, Noa Garcia and 1 more

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

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
80%Must read
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NeurIPS 2026SpotlightU AmsterdamExplainable AI

Hyperbolic Concept Bottleneck Models

HypCBM grounds concept bottlenecks in hyperbolic space via asymmetric geometric containment to yield sparse, hierarchy-aware activations and coherent interventions without extra supervision.

Daniel Uyterlinde, Swasti S Mishra, Pascal Mettes

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5