Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo MethodsIsha PuriShivchander Sudalairajet al.2025NeurIPS 2025
Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate ExpertsAndrea PugnanaRiccardo Massiddaet al.2025NeurIPS 2025
Structured Sparse Transition Matrices to Enable State Tracking in State-Space ModelsAleksandar TerzicNicolas Menetet al.2025NeurIPS 2025
Uncertainty-Aware Prediction of Climate Extremes Using Fine-Tuned Time-Series Foundation ModelsImran NasimJoao Lucas de Sousa Almeida2025NeurIPS 2025
Quantifying policy uncertainty in generative flow networks with uncertain rewardsRamon Nartallo-kaluarachchiRobert Manson Sawkoet al.2025NeurIPS 2025
Accelerating Material Discovery for Metal Organic Frameworks using Large Language ModelsSultan AlrowiliMathan Kumar Eswaranet al.2025NeurIPS 2025
A foundation model with multi-variate parallel attention to generate neuronal activityFrancesco CarzanigaMichael Herscheet al.2025NeurIPS 2025
FlowState: Sampling-Rate Invariant Time Series Foundation Model with Dynamic Forecasting HorizonsLars GrafThomas Bohnstinglet al.2025NeurIPS 2025
An Expert in Residence: LLM Agents for Always-On Operating System TuningGeorgios LiargkovasVahab Jabrayilovet al.2025NeurIPS 2025