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Few-Shot Visual Concept Extraction for Steering Diffusion Transformers

Nabyl Quignon, Antitza Dantcheva

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

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On Generalization in Bilevel Optimization with Overparameterized Models

Fares El Khoury, Edouard Pauwels, Samuel Vaiter, Michael Arbel

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

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DynamAuction: a reinforcement learning environment for repeated auction with dynamic value

Benjamin Heymann, Eugénie Patard, Corentin Pla, Patrick Loiseau

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

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When Edge Independence Fails: Joint Graph Diffusion with Latent Sociability Priors

Adarsh Jamadandi, Nicolas Keriven, Aline Roumy

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

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LITHE: Lattice-Indexed Twin Hadamard Encoding for Diffusion Personalization

Jian Jiang, Oya Celiktutan, Yaohui WANG, Yutong Ban

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

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57%Worth a look
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DeFlowCritic: Dense Latent Reward Alignment for Text-to-Image Flow Matching Models

Zeeshan Khan, Xin Yu, Shizhe Chen, Cordelia Schmid

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

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BlockFormer: Transformer-based inference from interaction maps

Eloïse Touron, Pedro Rodrigues, Julyan Arbel, Nelle Varoquaux 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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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
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67%Highly rated
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HyperNSDE: Personalized Neural SDEs for Joint Static—Longitudinal Clinical Data Generation

Perrine Chassat, Agathe Guilloux

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

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
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Decentralized AI Governance Must Decouple Policy Processing from Capability Enforcement

Hasan Kassem, Christoforos Anagnostopoulos, Alejandro Aristizabal, Spyridon Bakas and 26 more

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

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BrickFlow: Connectivity-Guided Brick Reconstruction

Peter Kulits, Cordelia Schmid

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

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lenient 0/5
medium 0/10
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71%Highly rated
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Towards more general control of diffusion models using Jeffrey Guidance

Jeffrey guidance extends diffusion control by updating marginals via Jeffrey's rule, reducing FID and enforcing fairness.

Raphaël Razafindralambo, Rémy Sun, Frederic Precioso, Jes Frellsen and 1 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5
80%Must read
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Learning Where to Simulate: Generative Active Sampling for Online PDE Surrogate Training

OGAS actively samples challenging PDE configurations via a diffusion model to reduce worst-case surrogate error with minimal overhead.

Pierre Cesar, Sofya Dymchenko, Abhishek Purandare, Bruno Raffin

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

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
88%Must read
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Externalized CPDAG Summaries Improve LLM Causal Deduction

Structured Thinking externalizes typed CPDAG summaries before reasoning, raising LLM causal deduction F1 by up to 13.4 points on Corr2Cause.

Wentao Sun, João P Nogueira, Dominique Verchere, Mathieu Acher and 1 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: 15 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 3/5
83%Must read
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PARE: Pruning and Adaptive Routing for Efficient Video Generation

PARE combines structure-aware width pruning and timestep-conditioned adaptive depth routing to cut video diffusion compute while preserving generation quality.

Yutong Wang, Yunke Wang, Tianfan Xue, Yu Qiao and 3 more

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

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
80%Must read
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Uniform Diffusion Models revisited: Leave-One-Out Denoiser and Absorbing State Reformulation

Standard uniform diffusion training uses a leave-one-out posterior rather than the true denoising posterior, causing a parameterization-objective mismatch that new conversions, samplers, and an absorbing-state reformulation fix to match masked diffusion.

Samson Gourevitch, Yazid Janati, Dario Shariatian, Umut Simsekli and 3 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026 · ▲ 4 on Hugging Face · Code ★ 11

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AI panel: 12 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 2/5
78%Highly rated
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PEIRA: Learning Predictive Encoders through Inter-View Regressor Alignment

PEIRA introduces a non-contrastive self-supervised objective via linear regressor traces whose only stable equilibria recover canonical correlation subspaces, matching VICReg and LeJEPA performance.

Michael Arbel, Basile Terver, Jean Ponce

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

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 2/5
medium 8/10
strict 1/5
88%Must read
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Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning

Argus detects backdoor attacks in decentralized learning by having nodes share local trigger analyses with neighbors and filter updates via structural similarity, reducing attack success by up to 90 points without a central server.

Sayan Biswas, Antoine Boutet, Davide Frey, Romaric Gaudel and 6 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5
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
80%Must read
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Sequential Membership Inference Attacks

Sequential membership inference attacks exploit model update sequences and canary insertion timing to achieve tighter privacy audits with higher attack power than single-model baselines.

Thomas Michel, Debabrota Basu, Emilie Kaufmann

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 5/5
medium 7/10
strict 0/5
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