Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions
- Yanna Ding
- Songtao Lu
- et al.
- 2025
- NeurIPS 2025
Conference paper
Publications
26917 results for Science
Enhancing UV Spectral Prediction through Auxiliary Task, Curriculum Learning, and Curvature Limitation
- Hajime Shinohara
- Akihiro Kishimoto
- et al.
- 2025
- NeurIPS 2025
Conference paperOptimal Estimation of the Best Mean in Multi-Armed Bandits
- Takayuki Osogami
- Junya Honda
- et al.
- 2025
- NeurIPS 2025
Conference paperDeferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts
- Andrea Pugnana
- Riccardo Massidda
- et al.
- 2025
- NeurIPS 2025
Conference paperRollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
- Isha Puri
- Shivchander Sudalairaj
- et al.
- 2025
- NeurIPS 2025
Conference paperCausally Reliable Concept Bottleneck Models
- Giovanni De Felice
- Arianna Casanova Flores
- et al.
- 2025
- NeurIPS 2025
Conference paperDense Associative Memory with Epanechnikov Energy
- Benjamin Hoover
- Zhaoyang Shi
- et al.
- 2025
- NeurIPS 2025
Conference paperStructured Sparse Transition Matrices to Enable State Tracking in State-Space Models
- Aleksandar Terzic
- Nicolas Menet
- et al.
- 2025
- NeurIPS 2025
Conference paperForging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
- 2025
- NeurIPS 2025
Conference paperTransformers Learn Faster with Semantic Focus
- 2025
- NeurIPS 2025
Conference paper