2024
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
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: 10.17863/CAM.110933
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
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. ICBC,
Swinfield, T., Shrikanth, S., Bull, JW., Madhavapeddy, A. and zu Ermgassen, SOSE., 2024. Nature-based credit markets at a crossroads Nature Sustainability, v. 7
Doi: 10.1038/s41893-024-01403-w
Millar, J., Sethi, S., Haddadi, H. and Madhavapeddy, A., 2024. Poster: Towards Low-Power Comprehensive Biodiversity Monitoring Sensys 2024 Proceedings of the 2024 ACM Conference on Embedded Networked Sensor Systems,
Doi: 10.1145/3666025.3699400
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
Ghasemitaheri, S., Holcomb, A., Golab, L. and Keshav, S., 2023. On the Data Quality of Remotely Sensed Forest Maps Ceur Workshop Proceedings, v. 3462
Meijers, AJS., Meredith, MP., Shuckburgh, EF., Kent, EC., Munday, DR., Firing, YL., King, B., Smyth, TJ., Leng, MJ., George Nurser, AJ., Hewitt, HT., Povl Abrahamsen, E., Weiss, A., Yang, M., Bell, TG., Alexander Brearley, J., Boland, EJD., Jones, DC., Josey, SA., Owen, RP., Grist, JP., Blaker, AT., Biri, S., Yelland, MJ., Pimm, C., Zhou, S., Harle, J. and Cornes, RC., 2023. Finale: impact of the ORCHESTRA/ENCORE programmes on Southern Ocean heat and carbon understanding. Philos Trans A Math Phys Eng Sci, v. 381
Doi: 10.1098/rsta.2022.0070
Holcomb, A., Mathis, SV., Coomes, DA. and Keshav, S., 2023. Computational tools for assessing forest recovery with GEDI shots and forest change maps Science of Remote Sensing, v. 8
Doi: 10.1016/j.srs.2023.100106
Debnath, R., Creutzig, F., Sovacool, BK. and Shuckburgh, E., 2023. Harnessing human and machine intelligence for planetary-level climate action. NPJ Clim Action, v. 2
Doi: http://doi.org/10.1038/s44168-023-00056-3
Furner, R., Haynes, P., Jones, DI., Munday, D., Paige, B. and Shuckburgh, E., 2023. An iterative data-driven emulator of an ocean general circulation model
Doi: http://doi.org/10.5194/egusphere-egu23-3340
Balmford, A., Brancalion, PHS., Coomes, D., Filewod, B., Groom, B., Guizar-Coutiño, A., Jones, JPG., Keshav, S., Kontoleon, A., Madhavapeddy, A., Malhi, Y., Sills, EO., Strassburg, BBN., Venmans, F., West, TAP., Wheeler, C. and Swinfield, T., 2023. Credit credibility threatens forests. Science, v. 380
Doi: 10.1126/science.adh3426
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
Balmford, A., Keshav, S., Venmans, F., Coomes, D., Groom, B., Madhavapeddy, A. and Swinfield, T., 2023. Realizing the social value of impermanent carbon credits Nature Climate Change, v. 13
Doi: 10.1038/s41558-023-01815-0
Bhundar, HS., Golab, L. and Keshav, S., 2023. Using EV charging control to provide building load flexibility. Energy Inform, v. 6
Doi: 10.1186/s42162-023-00261-8
Tarkhani, Z. and Madhavapeddy, A., 2023. Information Flow Tracking for Heterogeneous Compartmentalized Software ACM International Conference Proceeding Series,
Doi: 10.1145/3607199.3607235
