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Showing papers from University College London, University of London Show all papers

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From Jumps to Signatures: a Generative Method for Temporal Point Processes

Niels Cariou-Kotlarek, Vasileios Lampos

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

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WATERFALL: Workflow for Adaptive Training with Evolutionary Reward Formulation and Automated Learning Loops

Eleftherios Triantafyllidis, Filippos Christianos, Zhibin Li, Bernd Bickel

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

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The Type Theory of Stationary MDPs: Rare Events and Uncertainty Quantification

Imon Banerjee, Sayak Chakrabarty, Ramkrishna Jyoti Samanta, Riddhiman Bhattacharya

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Neural Scaling Laws in Particle Jets

Matthias Vigl, Nikita Pond, Nicole Hartman, Jackson Barr and 10 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: 1 of 20 reviewers recommend it
lenient 1/5
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Evaluating Neural Data Tokenizers: A Framework for Assessing Learned Representations of Spiking Activity

Federico D'Agostino, Alex Gilbert, Susanne Keller, Jaivardhan Kapoor and 16 more

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

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MFlowAudio: Efficient Text-to-Audio Synthesis via Mamba-based Stateful Flow Matching

Hao Dai, Panyu Chen, Jagmohan Chauhan

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

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lenient 1/5
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67%Highly rated
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Dancing in Fetters: Pareto-Optimal On-Device LLMs under Hardware Constraints

Luoyang Sun, Jiwen Jiang, Yifeng Ding, Fengfa Li and 8 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
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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
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How are linear representations learned? Exact solutions to the dynamics of abstraction

William W Yang, Peter E Latham, Andrew Saxe

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

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lenient 0/5
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SODA: Selective Optimization with Deferred BN Alignment for Efficient Dataset Distillation

Xinyue Bi, Jiacheng Cui, Yaxin Luo, Xinyi Shang and 3 more

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

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The limbic navigation system as a hierarchical RNN

Zilong Ji, Huiwen Zhang, Krishna Gorantla, Neil Burgess

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

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An Analytical Model of Compute-limited Multistage Training Pipelines

Nishil Patel, Jin Hwa Lee, Basile Confavreux, Andrew Saxe

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

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lenient 0/5
medium 0/10
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67%Highly rated
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PULSE: Probabilistic Uncertainty-Aware Longitudinal Simulation for EHR Trajectories

Robert L Manschke, Angus Roberts, Julia Ive

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

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
80%Must read
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Concept frustration: Aligning human concepts and machine representations

A geometric framework defines concept frustration as contradictions from missing concepts and detects it in foundation model embeddings to align human and machine reasoning.

Christopher R. S. Banerji, Enrico Parisini, Christopher J Soelistyo, Ahab Isaac 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: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
74%Highly rated
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Sobolev Regularized MMD Gradient Flow

Sobolev-regularized MMD gradient flow penalizes witness function gradients to ensure global convergence without isoperimetric assumptions, applying to both sampling and generative modeling.

Chenyang Tian, Bharath Sriperumbudur, Arthur Gretton, Zonghao Chen

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

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AI panel: 9 of 20 reviewers recommend it
lenient 2/5
medium 4/10
strict 3/5
71%Highly rated
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Meow-Omni 1: A Multimodal Large Language Model for Feline Ethology

Meow-Omni 1 integrates video, audio, physiological time-series, and text to reach 71.16% feline intent recognition, outperforming baseline multimodal models.

Jucheng Hu, Zhangquan Chen, Yulin Chen, Chengjie Hong and 8 more

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

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AI panel: 7 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 0/5
71%Highly rated
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UniGS: Unified Geometry-Aware Gaussian Splatting for Multimodal Rendering

UniGS proposes a unified geometry-aware Gaussian Splatting framework that simultaneously renders RGB, depth, normals, and semantics with state-of-the-art multimodal reconstruction accuracy.

Yusen XIE, Zhenmin Huang, Jianhao Jiao, Dimitrios Kanoulas 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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AI panel: 6 of 20 reviewers recommend it
lenient 2/5
medium 3/10
strict 1/5
76%Highly rated
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Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing

High-dimensional analysis of pretraining via PCA and linear probing derives exact errors versus representation size, showing compression helps with abundant unlabeled but scarce labeled data.

Valentina Njaradi, Clémentine Dominé, Rachel A Swanson, Marco Mondelli 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: 10 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 2/5
91%Must read
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MedMisBench: Measuring Epistemic Resilience of LLMs Under Misleading Medical Context

MedMisBench reveals LLM medical accuracy collapses from 71% to 38% under misleading context, exposing a critical evaluation blind spot around epistemic resilience.

Hongjian Zhou, Xinyu Zou, Jinge Wu, Sean Wu and 18 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: 17 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 4/5
80%Must read
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Fisher Decorator: Refining Flow Policy via A Local Transport Map

Fisher Decorator refines flow policies via local transport maps and Fisher-metric anisotropic optimization to fix isotropic approximation errors in offline RL.

Xiaoyuan Cheng, Haoyu Wang, Wenxuan Yuan, Ziyan Wang and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · Code ★ 26

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AI panel: 12 of 20 reviewers recommend it
lenient 2/5
medium 9/10
strict 1/5
91%Must read
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Automata from Agent Traces: Failure and Next-Step Prediction

Trace corpora collapse into compact finite-state machines replaying held-out data at >=0.997 fitness, yielding state-context next-step prediction and 0.94 AUROC failure prediction for runtime monitoring.

Seonglae Cho, Franklin Cardenoso Fernandez, Umar Mohammed, Zekun Wu and 3 more

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

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 3/5
86%Must read
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Model Spec Midtraining: Improving How Alignment Training Generalizes

Model spec midtraining teaches models their behavior spec before alignment, controlling how demonstration fine-tuning generalizes and reducing agentic misalignment substantially.

Chloe Li, Sara Price, Samuel Marks, Jonathan Kutasov

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · Code ★ 74

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
83%Must read
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CodeScaler: Scaling Code LLM Training and Test-Time Inference via Reward Models

CodeScaler uses a reward model to scale code LLM training and inference without test cases, improving benchmarks by up to 14.64 points and cutting latency tenfold.

Xiao Zhu, Xinyu Zhou, Boyu Zhu, Hanxu Hu and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 24 on Hugging Face · Code ★ 50

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5
80%Must read
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OpenMHC: Accelerating the Science of Wearable Foundation Models

OpenMHC releases the largest open wearable health dataset with open-source foundation models and a unified benchmark across prediction, imputation, and forecasting tasks.

Narayan Schütz, Yuze Bai, Lianggang Pan, Edgar Eggert and 15 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: 12 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 2/5
80%Must read
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Mechanisms of Misgeneralization in Physical Sequence Modeling

Standard generative sequence models suffer physical misgeneralization, where local trajectory errors propagate through physical measurements to shift aggregate distributions; a data deviation kernel predicts these shifts and guides mitigation.

Kento Nishi, Raphael Tang, Karun Kumar, Core Francisco Park 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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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 2/5
76%Highly rated
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Learning How to Cube

A neuro-symbolic framework trains a 4B-parameter model via MCTS-curated preference data and two-stage post-training to learn SAT cubing heuristics matching top symbolic methods.

Ferhat Erata, Sam Kouteili, Thanos Typaldos, Timos Antonopoulos and 3 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 2/5
medium 6/10
strict 2/5
89%Must read
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Measuring Safety Alignment Effects in Autonomous Security Agents

Safety alignment effects in autonomous security agents require system-level measurement of refusal, tool reliability, and evidence grounding rather than refusal rates alone, with uncensored Gemma models improving security task success but showing mixed, family-dependent effects.

Isaac David, Arthur Gervais

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
70%Highly rated
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Semiparametrically Efficient Inference for Kernel Measures of Noise Heterogeneity

A Hilbert-valued one-step estimator enables semiparametrically efficient inference and bootstrap-calibrated tests for kernel noise heterogeneity in additive noise models.

Jakub Wornbard, Zikai Shen, Dimitri Meunier, Arthur Gretton

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

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AI panel: 5 of 20 reviewers recommend it
lenient 2/5
medium 3/10
strict 0/5
86%Must read
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Outlier-robust Diffusion Posterior Sampling for Bayesian Inverse Problems

Robust diffusion posterior sampling mitigates outlier-induced likelihood misspecification in diffusion-based Bayesian inverse problems with provable stability and consistent empirical gains.

Yiming Yang, Xiaoyuan Cheng, Yi He, Kaiyu Li and 2 more

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

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
86%Must read
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How to Scale Mixture-of-Experts: From muP to the Maximally Scale-Stable Parameterization

Researchers derive maximally scale-stable parameterizations for Mixture-of-Experts via dynamical mean-field theory, yielding robust learning-rate transfer and monotonic scaling gains across regimes.

Leena Chennuru Vankadara, Moritz Haas, Luke Hayward, Sebastian Bordt and 1 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026 · ▲ 1 on Hugging Face · Code ★ 4

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AI panel: 14 of 20 reviewers recommend it
lenient 3/5
medium 8/10
strict 3/5
91%Must read
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TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks

TerminalWorld automatically builds terminal benchmarks from wild recordings, yielding 1,530 tasks where top agents achieve only 62.5% success with weak correlation to expert benchmarks.

Zhaoyang Chu, Jiarui Hu, Xingyu Jiang, Pengyu Zou and 7 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026 · ▲ 8 on Hugging Face · Code ★ 48

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 4/5