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Showing papers from University of Bristol Show all papers

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PerQ: Inverse Generative Modeling for Neural Image Compression via Quantization Error Compensation

Tianhao Peng, Ho Man Kwan, Fan Zhang, Shan Liu and 1 more

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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RRL-HOI: Reflective Reinforcement Learning for Open-Vocabulary HOI Detection

Yongchao Xu, Jiawei Liu, Junfeng Wang, Yufei Zheng and 5 more

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
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From Local to Global: Progressive Consensus via Hierarchical Communication in Multi-Agent Reinforcement Learning

Jiangjin Yin, Zhonglin Lv, Hangyu Mao, Rongbo Zhu 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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lenient 0/5
medium 0/10
strict 0/5
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PARI: Policy-Driven Active Residual Intervention for Weakly Supervised Point Cloud Segmentation

Wenhao Gao, Sen Tao, Jiawei Liu, Jiwei Feng 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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lenient 0/5
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57%Worth a look
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The VLM as Sensor: Bayesian Active Search for Long Video Understanding

Chong Tang, Sannara EK, Dirk Koch, Robert Mullins 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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Learning to Search, Searching to Learn: A Closed-Loop Framework for Large-Scale Vehicle Routing

Yongji Fu, Yi Zhou, Gaojie Jin, Guanqun Cao

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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Axiomatic Reinforcement Learning for Open Multi-Agent Systems from Shapley Axioms

Jianhong Wang, Yang Li, Samuel Kaski, Jonathan Lawry

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
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45%Niche pick
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Learning Where to Look: Observation Policy Optimization for Thinking with Images

Junfeng Wang, Jiawei Liu, Yongchao Xu, Tao Jiang and 4 more

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
89%Must read
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ReefNet: A Large-Scale Dataset and Benchmark for Fine-Grained Coral Reef Recognition

ReefNet provides ~925K genus-level coral annotations and benchmarks showing vision models degrade under zero-shot and cross-source shifts despite adaptation gains.

Abdulwahab Felemban, Yahia Battach, Faizan F Khan, Yuqian Fu and 12 more

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

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
78%Highly rated
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Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems

Market Regime Council assigns Shapley-based credits across multi-agent LLM coalitions with regime-aware weighting, achieving a 1.51 Sharpe ratio and 440.1% cumulative return over 1,037 trading days.

Yunhua Pei, Zerui Ge, Jin Zheng, John Cartlidge

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 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 5/5
medium 6/10
strict 0/5
71%Highly rated
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Guidance For Prior Change via Density Ratio Estimation

DRE-based unbiased guidance decouples amortized simulation-based inference from training priors, outperforming PriorGuide on C2ST and MMD.

Yichen Zang, Song Liu, Jiun-Yi Lin

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

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 0/5
88%Must read
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The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show

Video diffusion transformers encode physical plausibility linearly in latent states around 81% accuracy despite lacking predictive training, emerging inside the denoiser rather than the VAE.

Parsa Esmati, Somjit Nath, Katja Hofmann, Derek Nowrouzezahrai and 2 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5
89%Must read
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ThousandWorlds: A benchmark for climate emulation of potentially habitable exoplanets

ThousandWorlds introduces a multi-model exoplanet climate benchmark of ~1,700 GCM simulations, showing Gaussian processes outperform deep learning in low-data multi-simulator regression.

Edward Stevenson, Mei T Mak, Eric Wolf, Denis E Sergeev and 3 more

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

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
86%Must read
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WildBox: A Dataset and Benchmark for Aerial Monocular 3D Detection of African Savanna Wildlife

WildBox provides aerial monocular 3D wildlife annotations and benchmarks showing zero-shot 3D detection collapses to zero, with fine-tuning reaching 13.17 AP3D and depth as the dominant failure mode.

Vandita Shukla, Kilian Meier, Lucie Laporte-Devylder, Camille R Saint-Jean and 5 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 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 4/5
medium 6/10
strict 4/5
89%Must read
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StakeBench: Evaluating Language Understanding Grounded in Market Commitment

StakeBench evaluates LLMs via market-commitment signals from 560,876 trader comments, finding partial position-side recovery but structural failures in action anticipation and odds projection, with scale and finance tuning offering no benefit.

Yunhua Pei, Jingyu Hu, Yiwei Shi, Hongnan Ma 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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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
86%Must read
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Probability-Conserving Flow Guidance

Guidance decomposes into divergence and score-parallel terms via the continuity equation; AdaMaG bounds both to improve flow-based generation realism and reduce hallucinations without added cost.

Parsa Esmati, Junha Hyung, Amirhossein Dadashzadeh, Jaegul Choo 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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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 3/5
medium 8/10
strict 3/5