2024
Rau, EP., Gross, J., Coomes, DA., Swinfield, T., Madhavapeddy, A., Balmford, A. and Keshav, S., 2024. Mitigating risk of credit reversal in nature-based climate solutions by optimally anticipating carbon release Carbon Management, v. 15
Doi: 10.1080/17583004.2024.2390854
Rau, E-P., Gross, J., Coomes, DA., Swinfield, T., Madhavapeddy, A., Balmford, A. and Keshav, S., 2024. Mitigating risk of credit reversal in nature-based climate solutions by optimally anticipating carbon release Carbon Management, v. 15
Doi: 10.1080/17583004.2024.2390854
Millar, J., Sethi, S., Haddadi, H. and Madhavapeddy, A., 2024. Terracorder: Sense Long and Prosper. CoRR, v. abs/2408.02407
Berkes, A. and Keshav, S., 2024. SPAGHETTI: a synthetic data generator for post-Covid electric vehicle usage Energy Informatics, v. 7
Doi: 10.1186/s42162-024-00314-6
Holcomb, A., Burns, P., Keshav, S. and Coomes, DA., 2024. Repeat GEDI footprints measure the effects of tropical forest disturbances Remote Sensing of Environment, v. 308
Doi: 10.1016/j.rse.2024.114174
Nath, P., Moss, H., Shuckburgh, E. and Webb, M., 2024. RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models. CoRR, v. abs/2408.16118
Berkes, A. and Keshav, S., 2024. SOPEVS: Sizing and Operation of PV-EV-Integrated Modern Homes The 15th ACM International Conference on Future and Sustainable Energy Systems,
Doi: 10.1145/3632775.3661941
Wilkins, G., Keshav, S. and Mortier, R., 2024. Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM Inference Workloads The 15th ACM International Conference on Future and Sustainable Energy Systems,
Doi: 10.1145/3632775.3662830
Lisaius, MC., Blake, A., Keshav, S. and Atzberger, C., 2024. Using Barlow Twins to Create Representations From Cloud-Corrupted Remote Sensing Time Series IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 17
Doi: 10.1109/JSTARS.2024.3426044
Nivron, O., Wischik, DJ., Vrac, M. and Shuckburgh, E., 2024. A Temporal Bias Correction using a Machine Learning Attention model. CoRR, v. abs/2402.14169
Rau, EP., Gross, J., Coomes, DA., Swinfield, T., Madhavapeddy, A., Balmford, A. and Keshav, S., 2024. Mitigating risk of credit reversal in nature-based climate solutions by optimally anticipating carbon release Carbon Management, v. 15
Doi: 10.1080/17583004.2024.2390854
Feng, Z., Xie, M., Holcomb, A. and Keshav, S., 2024. An app for tree trunk diameter estimation from coarse optical depth maps Ecological Informatics, v. 82
Doi: 10.1016/j.ecoinf.2024.102774
Jaffer, S., Dales, MW., Ferris, P., Sorensen, D., Swinfield, T., Message, R., Keshav, S. and Madhavapeddy, A., 2024. Global, robust and comparable digital carbon assets 2024 IEEE International Conference on Blockchain and Cryptocurrency Icbc 2024,
Doi: 10.1109/ICBC59979.2024.10634343
Wilkins, G., Keshav, S. and Mortier, R., 2024. Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems ACM SIGEnergy Energy Informatics Review, v. 4
Doi: 10.1145/3727200.3727217
Rau, E-P., Gross, J., Coomes, DA., Swinfield, T., Madhavapeddy, A., Balmford, A. and Keshav, S., 2024. Mitigating risk of credit reversal in nature-based climate solutions by optimally anticipating carbon release Carbon Management, v. 15
Doi: 10.1080/17583004.2024.2390854
Rau, E-P., Gross, J., Coomes, DA., Swinfield, T., Madhavapeddy, A., Balmford, A. and Keshav, S., 2024. Research data supporting “Mitigating risk of credit reversal in nature-based climate solutions by optimally anticipating carbon release”
Doi: http://doi.org/10.17863/CAM.110933
2023 (No publication date)
2023
Virdee, M., Kaiser, M., Ek, CH., Shuckburgh, E. and Kazlauskaite, I., 2023. A locally time-invariant metric for climate model ensemble predictions of extreme risk Environmental Data Science, v. 2
Doi: http://doi.org/10.1017/eds.2023.13
Gibb, R., Madhavapeddy, A. and Crowcroft, J., 2023. Where on Earth is the Spatial Name System? Hotnets 2023 Proceedings of the 22nd ACM Workshop on Hot Topics in Networks,
Doi: 10.1145/3626111.3628210
Holcomb, A., Tong, L. and Keshav, S., 2023. Robust Single-Image Tree Diameter Estimation with Mobile Phones Remote Sensing, v. 15
Doi: 10.3390/rs15030772
