Towards Using Large Language Models and Deep Reinforcement Learning for Inertial Fusion Energy
- Vadim Elisseev
- Max Esposito
- et al.
- 2024
- NeurIPS 2024
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251 results for Climate and Sustainability
Automated, LLM enabled extraction of synthesis details for reticular materials from scientific literature
- 2024
- NeurIPS 2024
Best-Effort Power Model Serving for Energy Quantification of Cloud Instances
- 2024
- MASCOTS 2024
Empowering Sustainable Finance: Leveraging Large Language Models for Climate-Aware Investments
- 2024
- ICLR 2024
Machine learning derived sub-seasonal to seasonal extremes
- 2023
- NeurIPS 2023
Symbolic Learning for Material Discovery
- Daniel Cunnington
- Flaviu Cipcigan
- et al.
- 2023
- NeurIPS 2023
Advancing Cloud Sustainability: A Versatile Framework for Container Power Model Training
- 2023
- MASCOTS 2023
Attention-based Domain Adaptation Forecasting of Streamflow in Data Sparse Regions
- Roland Oruche
- Fearghal O'Donncha
- 2023
- ICLR 2023
On the impact of small-data diversity on forecasts: evidence from meteorologically-driven electricity demand in Mediterranean zones.
- Reginald Eugene Bryant
- Julian Kuehnert
- 2023
- ICLR 2023
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling
- Qidong Yang
- Paula Harder
- et al.
- 2023
- ICLR 2023