Yo-ByT5: Efficient and High-Fidelity Diacritic Restoration for Yorùbá

Yo-ByT5 is a byte-level Yorùbá diacritic restoration model matching mT5-base accuracy with half the parameters and superior text fidelity.

Ahmad Samuel Gali, Shamsuddeen Hassan Muhammad

Published Oct 1, 2026 · 0 citations

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

FogGS: Physics-Grounded 3D Foggy Effects

Jiaxin LI, Tailin Wu, Jiankang Deng, Li Zhang and 1 more

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

FireMPC: A Multi-Source Pan-Canadian Wildfire Benchmark Revealing Spatiotemporal Generalization Gaps

Zhengsen Xu, Sibo Cheng, Lanying Wang, Aryan Sharma and 1 more

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

3D Molecule Generation from Rigid Motifs via $\mathrm{SE}(3)$ Flows

Roman Poletukhin, Marcel Kollovieh, Eike S. Eberhard, Stephan Günnemann

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

STEER: Route-Aware Adaptive Reasoning for Autonomous Driving

yangang Zou, Pei Liu, Nan Song, Bozhou Zhang and 5 more

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

Practical Non-Stationary Graph Gaussian Processes

Senanayak Sesh Kumar Karri, Viacheslav (Slava) Borovitskiy

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

Gibbs Gradient Descent: A Langevin Approach to Optimization

Oussama Zekri, Anna Korba, Nicolas Boulle

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

HaNDF: Object-Conditioned Geometric Neural Hand Distance Fields

Zuhao Liu, Melih Darcan, Zhengdi Yu, Riza Alp Guler and 1 more

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

Beyond Ground Truth: Evaluating Non-Verifiable Reasoning in LLMs through Moral Robustness

Elizaveta Tennant, Benjamin Henke, Anita Keshmirian, Murray Shanahan and 4 more

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

MedFlowBench: Auditing Medical Agents in Full-Study Workflows

Weixiang Shen, Chengzhi Shen, Che Liu, Junde Wu and 10 more

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

Reconciling Operational Energy Trilemma: A Heterogeneous Risk-Constrained MDP Framework with Residual Policy Learning

Yujian Ye, Siqi Qian, Yizhi Wu, Tianxiang Cui and 1 more

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

Outlier-Robust Multi-Output Gaussian Processes

Joshua Rooijakkers, Leiv Rønneberg, Francois-Xavier Briol, Jeremias Knoblauch and 1 more

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

Plausible Biomolecular Structure Prediction via Physics-informed Reinforcement Learning

Tai Dang, Hieu Tran, Long-Hung Pham, Sang Truong and 3 more

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

Certification-Enhanced Generalization Bounds

Leo Elmecker-Plakolm, Matthew R Wicker

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

Look Before You Reason: Implicit Visual Thinking for Efficient Multimodal Reasoning

Zerui Chen, Changrui Chen, Fei Ni, Jiankang Deng

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

Sparsity for Free: A Budget-Induced Equilibrium in Joint Topology–Parameter Search

Marcel Mordarski, Daniel Budina, Benjamin Gras, Abdulrahman Shehata and 1 more

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

EnerGNN: Learning Optimization-Compatible Energy Functions for Exact Constrained Combinatorial Inference

Niki Triantafyllou, Maria Papathanasiou

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

Random-Projection Tree Stein Variational Gradient Descent

Shishuo Guo, Xiaoyuan Cheng, Zhuo Sun

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

Why Routers Freeze: Infinite Width Learning Dynamics for Mixture of Experts

Anish Dhir, Volkan Cevher, Leena Chennuru Vankadara

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

Casper: A Projection-Based Neurosymbolic Layer for Scalable & Guaranteed Constraint Satisfaction

Lohith Konathala, Luca Andolfi, Eleonora Giunchiglia

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

Jacobian Scopes: A Unified Geometric Framework for Token-Level LLM Attributions

Toni Liu, Baran Zadeoğlu, Nicolas Boulle, Raphaël Sarfati and 2 more

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

End-to-End Verification of Neuro-symbolic Automata via Contrastive Logit-Gaps

Abdelrahman Hekal, Vasileios Manginas, Nikolaos Manginas, Alessio Lomuscio

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

Beyond Langevin: Sampling Multimodal Densities using the Witten Laplacian on 1-forms

Sahani Pathiraja, Panos Parpas

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

PACE: Progress Actively-internalized Conditioning Execution for Long-horizon Manipulation

Fei Ni, Zhuo Chen, Xianze Yao, Zerui Chen and 5 more

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

Mamba Flow Matching Neural Processes: Linear-Time Inference for Irregularly Observed Spatial Fields

Cosmo Santoni, Giovanni Charles, Timothy James Hitge, Oliver Watson and 1 more

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

Estimating Model-Level Membership Inference Vulnerability Without Reference Models

Euodia Dodd, Natasa Krco, Igor Shilov, Matthew R Wicker and 1 more

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

Complex Schrödinger Bridges

Dong-Sig Han, Tolga Birdal

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

Symmetry Guarantees Statistic Recovery in Variational Inference

Symmetry in variational inference forces approximate minimizers to recover target statistics under misspecification, unifying prior results and yielding new directional guarantees.

Daniel Marks, Dario Paccagnan, Mark van der Wilk

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

Steering Optimisation Trajectories in Diffusion Representation Learning

Diffusion autoencoders learn different latent structures via distinct optimization regimes, and SteeringDRL steers training toward disentanglement by targeting U-Net shortcuts and using a noise-level curriculum.

Rajat Rasal, Tian Xia, Avinash Kori, Ben Glocker

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

Random Neural Network Expressivity for Non-Linear Partial Differential Equations

Random neural networks approximate time-dependent Sobolev functions with dimension-free rate 1/2 and efficiently solve nonlinear porous medium and compressible Navier-Stokes equations.

Muhammed Ali Mehmood, Lukas Gonon

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

Aligning Flow Map Policies with Optimal $Q$-Guidance

Flow map policies learn multi-step jumps across flow dynamics for fast action generation, and FMQ adapts them via optimal closed-form Q-guidance to achieve state-of-the-art offline-to-online RL with 21.3% higher success rates.

Christos Ziakas, Alessandra Russo, Joey Bose

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

Multi-Marginal Couplings for Metropolis--Hastings

Multi-marginal coupling of Metropolis-Hastings chains via shared-randomness Poisson Monte Carlo improves coalescence rates and reduces meeting times up to 50%.

Truong Buu Phan, Gergely Flamich, Ashish Khisti, Shahab Asoodeh

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

Diffusion Path Samplers via Sequential Monte Carlo

Diffusion-based samplers use sequential Monte Carlo along diffusion paths to estimate scores and densities, with control variates reducing variance across OU, interpolant, and annealed paths.

James Matthew Young, Paula Cordero-Encinar, Sebastian Reich, Andrew Duncan and 1 more

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

NeuroRVQ: Multi-Scale Biosignal Tokenization for Generative Foundation Models

NeuroRVQ uses multi-scale temporal convolutions and hierarchical RVQ codebooks with a phase-aware loss to tokenize biosignals at high fidelity across modalities. NeuroRVQ-FM foundation models using these tokenizers achieve competitive or superior downstream performance, showing that high-fidelity to

Konstantinos Barmpas, Na Lee, Dimitrios Chalatsis, William Raftery and 6 more

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

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

Improving Function Space Flow Matching with Kernel Optimal Transport

kFFM replaces arbitrary pairing in Functional Flow Matching with kernel optimal transport to improve infinite-dimensional generative modeling and outperforms baselines on time-series and PDE benchmarks.

Fred Xu, Thomas Markovich, Barbora Barancikova, Yizhou Sun

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

Neurosymbolic Learning for Inference-Time Argumentation

ITA is a neurosymbolic framework that trains LLMs to generate scored arguments for ternary claim verification, yielding predictions faithfully computed from explicit argument structures.

Gabriel Freedman, Adam Dejl, Adam Gould, Mansi - and 3 more

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

Efficient bias mitigation in T2I diffusion models using Concept Graphs

CO-ALIGN reduces text-to-image diffusion bias via concept-graph alignment across encoders and denoisers, cutting incoherent outputs by 88% while improving fairness and fidelity.

Mansi -, Avinash Kori, Francesco Leofante

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

MyoChallenge 2025: A New Benchmark for Human Athletic Intelligence

MyoChallenge 2025 benchmarks musculoskeletal sports control via simulated table tennis and soccer tasks, advancing agile motor algorithms across 70 teams.

Cheryl Wang, Chun Kwang Tan, Balint Hodossy, Shirui Lyu and 20 more

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