Publications

1607 results for Machine Learning

Quantifying policy uncertainty in generative flow networks with uncertain rewards
- - Ramon Nartallo-kaluarachchi
  - Robert Manson Sawko
  - et al.
- 2025
- NeurIPS 2025
Workshop paper
Uncertainty-Aware Prediction of Climate Extremes Using Fine-Tuned Time-Series Foundation Models
- - Imran Nasim
  - Joao Lucas de Sousa Almeida
- 2025
- NeurIPS 2025
Workshop paper
Licence to Scale: A Microservice Simulation Environment for Benchmarking Agentic AI
- - Christopher Lohse
  - Adrian Selk
  - et al.
- 2025
- NeurIPS 2025
Workshop paper
SemCLIP: A Semantic Memory-Aligned Vision Language Model
- - Tanveer Syeda-Mahmood
  - Niharika DSouza
  - et al.
- 2025
- NeurIPS 2025
Workshop paper
From Descriptions to Chemical Hazards: Predicting Persistence, Bioaccumulation, and Toxicity from Natural Language Using LLMs
- - Sarath Swaminathan
  - Nathaniel Park
  - et al.
- 2025
- NeurIPS 2025
Workshop paper
FlowState: Sampling-Rate Invariant Time Series Foundation Model with Dynamic Forecasting Horizons
- - Lars Graf
  - Thomas Bohnstingl
  - et al.
- 2025
- NeurIPS 2025
Workshop paper
SafeCOMM: Investigating Safety Degradation in Fine-Tuned Telecom Large Language Models
- - Aladin Djuhera
  - Swanand Ravindra Kadhe
  - et al.
- 2025
- NeurIPS 2025
Workshop paper
Contextual Bandits for Large-Scale Structured Discrete Constrained Optimization Problems
- - Pavithra Harsha
  - Chitra Subramanian
  - et al.
- 2025
- NeurIPS 2025
Workshop paper
When to Reason: Semantic Router for vLLM
- - Chen Wang
  - Xunzhuo Liu
  - et al.
- 2025
- NeurIPS 2025
Workshop paper
Foundation Models Enabling Multi-Scale Battery Materials Discovery: From Molecules To Devices
- - Vidushi Sharma
  - Andy Tek
  - et al.
- 2025
- NeurIPS 2025
Workshop paper