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Showing papers from University of Birmingham Show all papers

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Generalization Analysis of Biased Stochastic Gradient Methods for Minimax Problems

Shuang Zeng, Yunwen Lei, Yiming Ying

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

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57%Worth a look
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FedLoVA: Value-Only Aggregation for Federated LoRA Fine-Tuning of Large Language Models

Ensieh Khazaei, Baturalp Buyukates, Dimitrios Hatzinakos

Sydney Poster Session 1, Tue, Dec 8, 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
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Importance-Weighted Operator Learning Under Probability Measure Shifts

Lei Sun, Yusuke Tanaka, Xiaocheng Shang, Takaharu Yaguchi 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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What Do SAE Features Encode? Evidence from Human Neural Activity

Yujin Kang, Hyojin Park, Yoon-Sik Cho

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
69%Highly rated
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Fine-tuning Does Not Reach All: Uneven Safety and Knowledge Dynamics in Language Models

Ziwei Wang, Xinwei Guo, Jiaxin Zhang, Guanhua Chen and 6 more

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

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3/20 AI panelreviewers recommend it

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AI panel: 3 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 1/5
67%Highly rated
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Focus, Align, and Diffuse: Time-Series-Aware Keyframe Diffusion for Cardiac Dynamic Synthesis from Sparse Observations

Junkai Liu, Haofan Wu, Nay Aung, Joao A Lima 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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Low-Rank Hierarchical Merging for Efficient Long-to-Short Reasoning

Zeqiu Yu, Xuesheng Zhang, Wenxiao Zhao, Shixiao Wang

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

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AI panel: 0 of 20 reviewers recommend it
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57%Worth a look
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Where to Look Matters: Rethinking Sub-Volume Sampling in 3D Medical Self-supervised Learning

Junkai Liu, Le Zhang

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
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86%Must read
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Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection

Formulating ensemble selection as mutual-information maximization reveals an information-theoretic error floor from model correlation and yields a greedy algorithm that outperforms baselines under fixed query budgets.

Yigit Turkmen, Baturalp Buyukates, Melih Bastopcu

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · 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 8/10
strict 1/5
88%Must read
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SENSE: Semantic Neural Speech Synthesis from Brain Dynamics via Spatial Graph Encoding

SENSE uses graph-based EEG encoding and semantic conditioning to synthesize speech from brain dynamics, outperforming baselines on acoustic and semantic metrics with minimal training subjects.

Jisoo Park, Seonghak Lee, Hyojin Park, Junseok Kwon

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

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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
78%Highly rated
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Unsupervised Physics Informed Decomposition of Incomplete Time-Resolved Spectroscopy

A VAE decomposes incomplete time-resolved Raman spectra into Raman signals, autofluorescence, and noise, outperforming prior methods on simulated and real data.

Tom Muir, Qifeng Liu, Mohammadrahim Kazemzadeh, William Mills and 3 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · 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 4/5
medium 6/10
strict 1/5