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Showing papers from University of Manchester Show all papers

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NeurIPS 2026SimplexU ManchesterSimplex, Astera InstituteMechanistic interpretability

What Arranges Features in Activation Space? Non-Classical Predictive Geometry in Next-Token Predictors

Adam Shai, Thomas J Elliott, Paul Riechers

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

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NeurIPS 2026Beijing University of AeronauticU ManchesterLearning theory

Can Metadata Fix the Gauge? Calibration Turns Sparse Multi-Source Learning from Sparse PCA into Sparse Mean Recovery

Yibo Zhou, Yirong Xiang

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

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NeurIPS 2026The University of ManchesterU ManchesterGenomics & single-cell

Benchmarks Design under Data Scarcity: From Coarse Labels to Diagnostic Evaluation of Biosynthetic Gene Cluster Models

Hanlin Xiao, Eriko Takano, Mauricio A Álvarez, Rainer Breitling

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

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NeurIPS 2026U ManchesterBeijing University of AeronauticKnowledge editing

What Can Labels Alone Audit and Edit in Frozen Representations?

Yirong Xiang, Yibo Zhou

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

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NeurIPS 2026ShanxiShanxi universityU ManchesterVision backbones

C-LoRA: Continual Low-Rank Adaptation for Pre-trained Visual Models

Xin Zhang, Liang Bai, Xian Yang

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

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NeurIPS 2026ShanxiU ManchesterShanxi universityGraph generation

Mixed-Curvature Geometric Latent Diffusion Model for Graph Generation

Minxue Qi, Xian Yang, Liang Bai

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

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NeurIPS 2026The University of ManchesterU ManchesterGANs & VAEs

Inter-domain Inference for Gaussian Process Variational Autoencoders

Xinxing Shi, Xiaoyu Jiang, Mauricio A Álvarez

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

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NeurIPS 2026U ManchesterU Manchester Bayesian & probabilistic methods

AgentCBO: Causal Belief Routing for Bayesian Optimization under Unknown Graphs

Qiyu Wei, Xin Zhang, Richard Allmendinger, Mauricio A Álvarez

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

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NeurIPS 2026Shandong universityShandongnanjing universityU ManchesterU North Carolina at Chapel HillInstruction tuning

When Catastrophic Inheritance Meets Forgetting in Continual Adaptation of Foundation Models

Quanyu Zhang, Zhongyi Han, Zhenxue Chen, Xiao-Long Yin 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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NeurIPS 2026National University of SingaporeLawrence Livermore National LabsU ManchesterBayesian & probabilistic methods

Regret-Based $(\epsilon,\delta)$-optimal Stopping Criteria for Bayesian Optimization

Haowei Wang, Jingyi Wang, Qiyu Wei

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

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NeurIPS 2026EPFLU SheffieldU ManchesterLLM evaluation & benchmarks

SciReason: A Controllable Benchmark for Scientific Reasoning in LLMs

Pierre Beckmann, Marco Valentino, Andre Freitas

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

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91%Must read
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NeurIPS 2026Imperial Global Singapore, ImperImperial College LondonInternational Business MachinesU ManchesterA*STARPrivacy

SynBench: A Benchmark for Differentially Private Text Generation

SynBench benchmarks differentially private text generators across standardized datasets, revealing quality drops on out-of-distribution private data and invalidated privacy guarantees from pre-training contamination.

Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar, Iqra Zahid and 8 more

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

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17/20 AI panelreviewers recommend it

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 4/5
71%Highly rated
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NeurIPS 2026U ManchesterDeep learning theory

Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies

Isotropic activation functions enable function-preserving diagonalization of network layers for adaptive topology restructuring and asymptotic 50% parameter sparsification.

George Bird

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

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AI panel: 6 of 20 reviewers recommend it
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83%Must read
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NeurIPS 2026The University of ManchesterU Edinburgh, University of EdinbU Manchester, University of MancU Southern CaliforniaUT AustinAgent memory

TrajWiki: Source-Grounded Memory Trajectories for Long-Horizon Dialogue Agents

TrajWiki represents memory as source-grounded evolution trajectories with claim-level updates and a wiki layer to improve long-horizon dialogue performance and interpretability.

Jingyu Sun, Yuyang Xue, Mingyang Li, Zhengtao Yao and 8 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · 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
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