Enhancing UV Spectral Prediction through Auxiliary Task, Curriculum Learning, and Curvature Limitation
- Hajime Shinohara
- Akihiro Kishimoto
- et al.
- 2025
- NeurIPS 2025
Conference paper
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26913 results for Science
Optimal Estimation of the Best Mean in Multi-Armed Bandits
- Takayuki Osogami
- Junya Honda
- 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 paperForging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
- 2025
- NeurIPS 2025
Conference paperOptimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions
- Yanna Ding
- Songtao Lu
- 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 paperTransformers Learn Faster with Semantic Focus
- 2025
- NeurIPS 2025
Conference paperFlowState: Sampling-Rate Invariant Time Series Foundation Model with Dynamic Forecasting Horizons
- 2025
- NeurIPS 2025
Workshop paperLanguage Model Enabled Structure Prediction from Infrared Spectra of Mixtures
- Marvin Alberts
- Filippo Ficarra
- et al.
- 2025
- NeurIPS 2025
Workshop paperSpecifying exact circuit algorithms in universal transformers
- Taku Ito
- Ruchir Puri
- et al.
- 2025
- NeurIPS 2025
Workshop paper