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Showing papers from The University of Edinburgh Show all papers

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NeurIPS 2026The University of EdinburghU MacauThe Chinese University of Hong KMulti-agent LLM systems

Veri-Sure: Multi-Agent RTL Code Generation with Temporal Tracing, Slicing and Formal Verification

Jiale Liu, Taiyu Zhou, Tianqi Jiang

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

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57%Worth a look
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NeurIPS 2026IMPACT AI, NASA ODSIIBMPixxel IncNvidiaNASA IMPACT / UAHUnified multimodal models

Beyond 3 Million Tokens: A Multi-Modal Foundation Model for Full-Resolution Heliophysics

Sujit Roy, Johannes Schmude, Ata A Asanjan, Thorsten Kurth and 12 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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45%Niche pick
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NeurIPS 2026OralThe University of EdinburghU OxfordNVIDIAU EdinburghEdinburgh University, University3D vision & reconstruction

They Can See It but not Say It: Iterative Self Knowledge Re-expression in Visual Reasoning Relative Pose Identification

MENGYU WANG, Ken Deng, Yftah Ziser, Shay Cohen and 1 more

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

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NeurIPS 2026Gran Sasso Science InstituteThe University of EdinburghPhysics-informed ML & PDEs

Simplifying Transformer-Based U-Net Neural Physics Simulators

Pietro Sittoni, Francesco Tudisco

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

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NeurIPS 2026U EdinburghThe University of EdinburghDeep RL

Local Policy Manifolds for Efficient Multi-Objective Reinforcement Learning

Qiyue Xia, Tianwei Wang, J. Michael Herrmann

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

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72%Highly rated
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NeurIPS 2026Institute of Automation Chinese TsinghuaThe University of EdinburghInstitute of automation, ChineseInstitute of automation, ChineseUnified multimodal models

OBJECT-UNI: A Unified Model for Object-Centric Spatial Understanding and Controllable Generation

Object-Uni unifies object-centric spatial understanding and controllable generation via explicit pose variables, improving pose reasoning and geometrically consistent synthesis.

Mining Tan, yinuo Wang, Ziqi Zhou, Weize Quan and 5 more

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

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5
72%Highly rated
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NeurIPS 2026U EdinburghGoogle DeepMindStanfordThe University of EdinburghModel-based RL

Imperfect World Models are Exploitable

A novel definition of model exploitation reveals it is essentially unavoidable for large policy sets and cannot be precluded in finite ones, yielding safe planning limits.

Logan M Bhamidipaty, Esmeralda S Whitammer, David Abel, Mykel J Kochenderfer and 1 more

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

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AI panel: 8 of 20 reviewers recommend it
lenient 2/5
medium 4/10
strict 2/5