Forging Time Series with Language: A Large Language Model Approach to Synthetic Data GenerationCécile RousseauTobia Boschiet 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
Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical FunctionsYanna DingSongtao Luet al.2025NeurIPS 2025
Causally Reliable Concept Bottleneck ModelsGiovanni De FeliceArianna Casanova Floreset al.2025NeurIPS 2025
Enhancing UV Spectral Prediction through Auxiliary Task, Curriculum Learning, and Curvature LimitationHajime ShinoharaAkihiro Kishimotoet al.2025NeurIPS 2025
Optimal Estimation of the Best Mean in Multi-Armed BanditsTakayuki OsogamiJunya Hondaet al.2025NeurIPS 2025
Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo MethodsIsha PuriShivchander Sudalairajet al.2025NeurIPS 2025