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arXivHuawei TechnologiesImperial College LondonUniversity College LondonDeep RL

Tail-Influence Sampling for CVaR Policy Evaluation

Tail-Influence Sampling allocates evaluation budgets by tail influence to estimate CVaR with oracle variance and lower MSE than rollouts.

Pauline Bourigault, Xiaotong Ji, Matthieu Zimmer, Rasul Tutunov and 1 more

Published Sep 29, 2026 · 0 citations · ▲ 23 on Hugging Face · Code ★ 1

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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 8/10
strict 2/5
45%Niche pick
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NeurIPS 2026University College London, UniveUniversity College LondonEvent sequences

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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57%Worth a look
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NeurIPS 2026UCLA Computer Science DepartmentGoogleUniversity College LondonCharles University in PragueGoogle DeepMindMathematical reasoning

L$^2$EAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks

Po-Nien Kung, Linfeng Song, Dawsen Hwang, Jinsung Yoon and 9 more

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

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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026King's College London, UnivUniversity College LondonUniversity College London, UniveSpeech synthesis

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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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NeurIPS 2026Institute of automation, ChineseTsinghuaLi Auto Inc.University College London, UniveLi AutoOn-device ML

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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lenient 2/5
medium 0/10
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45%Niche pick
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NeurIPS 2026University College LondonPhysicsXAIDOS Lab, Department of ComputeOxfordInVivoAIGraph neural networks

Graph and Simplicial Complex Prediction Gaussian Process via Hodgelet Representations

Mathieu Alain, So Takao, Bastian Rieck, Xiaowen Dong and 1 more

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

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67%Highly rated
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NeurIPS 2026Intelligent Game and Decision LaTechnical University of MunichNational University of Defense TIntelligent Game and Decision LaUniversity College LondonVideo generation

Physics-Constrained Generative World Model for Off-Road Terrain via Post-hoc Projection

Yuan Zhou, Hao Yu, Ruiran Cao, Haoran Yang 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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lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026SpotlightUniversity College LondonGoogle Deepmind / UCLBayesian & probabilistic methods

Learning Gaussian Conditional Distributions using Neural Ratio Estimation is Hard

Pierre Glaser, Arthur Gretton

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

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lenient 0/5
medium 0/10
strict 1/5
67%Highly rated
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NeurIPS 2026U California, BerkeleyUC Berkeley / NVIDIA ResearchUniversity College LondonUC BerkeleyMulti-agent LLM systems

From Chats to Markets: AgenticPay for LLM-Powered Negotiation in Multi-Agent Commerce

Xianyang Liu, Shangding Gu, Fan Xu, Manxi Wu 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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lenient 2/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026Institute of cognitive neuroscieUniversity College LondonUniversity College London, UniveEmbodied agents

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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NeurIPS 2026U OxfordUCLUniversity College LondonUniversity College LondonLLM evaluation & benchmarks

LLM-WikiRace: A Benchmark for Planning and Reasoning over Real-World Knowledge Graphs

Juliusz Ziomek, William Bankes, Lorenz Wolf, Shyam Sundhar Ramesh 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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medium 0/10
strict 0/5
78%Highly rated
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NeurIPS 2026OralUniversity College LondonU California, RiversideGooglePrivacy

CLIOPATRA: Extracting Private Information from LLM Insights

CLIOPATRA attacks privacy-preserving LLM insight platforms with malicious chats to leak target medical histories with nearly 100% precision in 65% of cases, showing layered heuristic protections are insufficient.

Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro, Peter Kairouz

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 5/10
strict 1/5
74%Highly rated
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NeurIPS 2026Istituto Italiano di TecnologiaItalian Institute of TechnologyIIT & UCLUniversity College LondonExploration

Reward-free Pretraining for Reinforcement Learning via Occupancy Coverage Maximization

ROVER pretrains exploration policies via occupancy coverage maximization using a resolvent world model and virtual sink state, yielding stronger initializations for sparse-reward downstream tasks.

Marco Pratticò, Pietro Novelli, Massimiliano Pontil, Carlo Ciliberto

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

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lenient 4/5
medium 5/10
strict 0/5
74%Highly rated
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NeurIPS 2026University College LondonPenn StateGoogle Deepmind / UCLUniversity College London, UniveOptimization

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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NeurIPS 2026The Chinese University of Hong KTsinghua Shenzhen International University College London, UniveUniversity College LondonNanjingUnified multimodal models

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
91%Must read
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NeurIPS 2026U EdinburghU Edinburgh, United KingdomMohamed bin Zayed University of University College LondonAlignment & preference optimization

SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks

SCOPE co-evolves a task-generating challenger and retrieval solver with rubric-based self-judging to improve open-ended and QA performance without curated data.

Wai-Chung Kwan, Aryo Gema, Joshua O Leang, Pasquale Minervini

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 25 on Hugging Face · Code ★ 2

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AI panel: 18 of 20 reviewers recommend it
lenient 4/5
medium 10/10
strict 4/5
89%Must read
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NeurIPS 2026Institut Polytechnique de ParisVrije Universiteit AmsterdamTélécom ParisTechUniversity College LondonXuanwu HospitalExplainable AI

Predicting Only from Selected Evidence: A Tempered Product-of-Experts Bottleneck for Auditable EEG Diagnosis

tPoE-EIB constrains EEG diagnosis to selected evidence via tempered product-of-experts fusion, improving auditable selection and integration faithfulness while preserving accuracy.

Yinghao WANG, Shujian Yu, Duc-Han LE, Zhikai Yu and 2 more

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

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 1/5
76%Highly rated
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NeurIPS 2026Institute of automation, ChineseGigaAIPekingByteDance Inc.TianjinLong-context modeling

LinearARD: Linear-Memory Attention Distillation for RoPE Restoration

LinearARD restores RoPE-scaled LLMs via linear-memory attention self-distillation, recovering 98.3% short-text performance with 4.25M tokens versus 256M.

Ning Yang, Hengyu Zhong, Wentao Wang, Baoliang Tian and 3 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: 10 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 0/5
83%Must read
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NeurIPS 2026Georgia Institute Of TechnologyUniversity College LondonGeorgia Institute of TechnologyProteins

LEMON-ZEST: Evolution-Informed Tokenization for Efficient Protein Language Modeling

LEMON-ZEST uses evolution-informed tokenization to embed domain-level biological priors directly into protein language models. Its 200M-parameter LEMON model outperforms 600M to 3B parameter models on remote homology detection despite training on a single H100 GPU for one week. Evolution-informed to

Biswajit Banerjee, Claudia Alvarez Carreno, Anton S Petrov

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
74%Highly rated
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NeurIPS 2026Google ResearchUniversity College LondonGoogle DeepMindDeepMindBostonPrivacy

A Unified Framework for Adversary-Aware Differential Privacy Bounds

A unified framework bounds DP privacy leakage against multi-target membership, attribute, and reconstruction attacks using only privacy parameters and adversarial baseline success rates.

Marika Swanberg, Meenatchi Sundaram Muthu Selva Annamalai, Jamie Hayes, Borja Balle 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: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5
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