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NeurIPS 2026Politecnico di Milano, DEIBPolytechnic Institute of MilanVision-language models

THEIA: A Multimodal Dataset and Benchmark for Vision-Language Analysis of Layout

THEIA introduces a vision-language dataset and benchmark for analog circuit layout analysis via GDSII images, showing fine-tuned models outperform general VLMs by up to 73%.

Giuseppe Chiari, Michele Piccoli, Federico Viola, Davide Zoni

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

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lenient 3/5
medium 4/10
strict 1/5
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NeurIPS 2026Politecnico di MilanoPolytechnic Institute of MilanOptimization

Online Resource Allocation With General Constraints

Online resource allocation with budget and general constraints achieves near-optimal dynamic regret and bounded violations via weakly adaptive Lagrangian analysis.

Eleonora Fidelia Chiefari, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi

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

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5
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NeurIPS 2026Centrum Wiskunde & InformatiPolytechnic Institute of MilanPolitecnico di MilanoLearning theory

Toward Optimal Regret in Robust Pricing: Decoupling Corruption and Time

A robust binary-search pricing algorithm achieves regret scaling additively with corruption and logarithmically with time, resolving the open decoupling problem.

Kalana K Kalupahana, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi

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

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 2/5
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NeurIPS 2026Polytechnic Institute of MilanETHZ - ETH ZurichTsinghuaPolitecnico di MilanoETH Zurich3D vision & reconstruction

No Pose, No Problem in 4D: Feed-Forward Dynamic Gaussians from Unposed Multi-View Videos

NoPo4D is the first feed-forward 4D Gaussian system that reconstructs dynamic scenes from unposed multi-view videos, outperforming baselines and optimization methods at much faster speeds.

Matteo Balice, Yanik Künzi, Chenyangguang Zhang, Matteo Matteucci and 2 more

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

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 1/5