Zobrazeno 1 - 10
of 10 597
pro vyhledávání: '"Abramowitz A"'
Autor:
Daniel, Jemma, de Kock, Ruan, Nessir, Louay Ben, Abramowitz, Sasha, Mahjoub, Omayma, Khlifi, Wiem, Formanek, Claude, Pretorius, Arnu
The Transformer model has demonstrated success across a wide range of domains, including in Multi-Agent Reinforcement Learning (MARL) where the Multi-Agent Transformer (MAT) has emerged as a leading algorithm in the field. However, a significant draw
Externí odkaz:
http://arxiv.org/abs/2410.19382
Autor:
Mahjoub, Omayma, Abramowitz, Sasha, de Kock, Ruan, Khlifi, Wiem, Toit, Simon du, Daniel, Jemma, Nessir, Louay Ben, Beyers, Louise, Formanek, Claude, Clark, Liam, Pretorius, Arnu
As the field of multi-agent reinforcement learning (MARL) progresses towards larger and more complex environments, achieving strong performance while maintaining memory efficiency and scalability to many agents becomes increasingly important. Althoug
Externí odkaz:
http://arxiv.org/abs/2410.01706
Publikováno v:
Geophysical Research Letters, 51, e2024GL112492 (2024)
While deep-learning downscaling algorithms can generate fine-scale climate projections cost-effectively, it is still unclear how well they will extrapolate to unobserved climates. We assess the extrapolation capabilities of a deterministic Convolutio
Externí odkaz:
http://arxiv.org/abs/2409.13934
Aggregating the preferences of multiple agents into a collective decision is a common step in many important problems across areas of computer science including information retrieval, reinforcement learning, and recommender systems. As Social Choice
Externí odkaz:
http://arxiv.org/abs/2408.13630
Autor:
Clinton, Nicholas, Vollrath, Andreas, D'annunzio, Remi, Liu, Desheng, Glick, Henry B., Descals, Adrià, Sullivan, Alicia, Guinan, Oliver, Abramowitz, Jacob, Stolle, Fred, Goodman, Chris, Birch, Tanya, Quinn, David, Danylo, Olga, Lips, Tijs, Coelho, Daniel, Bihari, Enikoe, Cronkite-Ratcliff, Bryce, Poortinga, Ate, Haghighattalab, Atena, Notman, Evan, DeWitt, Michael, Yonas, Aaron, Donchyts, Gennadii, Shah, Devaja, Saah, David, Tenneson, Karis, Quyen, Nguyen Hanh, Verma, Megha, Wilcox, Andrew
Palm oil production has been identified as one of the major drivers of deforestation for tropical countries. To meet supply chain objectives, commodity producers and other stakeholders need timely information of land cover dynamics in their supply sh
Externí odkaz:
http://arxiv.org/abs/2405.09530
Few-shot action recognition aims at quickly adapting a pre-trained model to the novel data with a distribution shift using only a limited number of samples. Key challenges include how to identify and leverage the transferable knowledge learned by the
Externí odkaz:
http://arxiv.org/abs/2402.12706
Autor:
Tessera, Kale-ab, Tilbury, Callum Rhys, Abramowitz, Sasha, de Kock, Ruan, Mahjoub, Omayma, Rosman, Benjamin, Hooker, Sara, Pretorius, Arnu
Optimising deep neural networks is a challenging task due to complex training dynamics, high computational requirements, and long training times. To address this difficulty, we propose the framework of Generalisable Agents for Neural Network Optimisa
Externí odkaz:
http://arxiv.org/abs/2311.18598
Autor:
G. Abramowitz, A. Ukkola, S. Hobeichi, J. Cranko Page, M. Lipson, M. G. De Kauwe, S. Green, C. Brenner, J. Frame, G. Nearing, M. Clark, M. Best, P. Anthoni, G. Arduini, S. Boussetta, S. Caldararu, K. Cho, M. Cuntz, D. Fairbairn, C. R. Ferguson, H. Kim, Y. Kim, J. Knauer, D. Lawrence, X. Luo, S. Malyshev, T. Nitta, J. Ogee, K. Oleson, C. Ottlé, P. Peylin, P. de Rosnay, H. Rumbold, B. Su, N. Vuichard, A. P. Walker, X. Wang-Faivre, Y. Wang, Y. Zeng
Publikováno v:
Biogeosciences, Vol 21, Pp 5517-5538 (2024)
Accurate representation of the turbulent exchange of carbon, water, and heat between the land surface and the atmosphere is critical for modelling global energy, water, and carbon cycles in both future climate projections and weather forecasts. Evalu
Externí odkaz:
https://doaj.org/article/0e1f69fbe78f48a0a8a5c2dcdd806470
Autor:
Sanaa Hobeichi, Gab Abramowitz, Alex Sen Gupta, Andréa S. Taschetto, Doug Richardson, Neelesh Rampal, Hooman Ayat, Lisa V. Alexander, Andrew J. Pitman
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract Large-scale modes of climate variability, such as the El Niño-Southern Oscillation, North Atlantic Oscillation, and Indian Ocean Dipole, show significant regional correlations with seasonal weather conditions, and are routinely forecast by
Externí odkaz:
https://doaj.org/article/54dff5c2d9b848598f546f11879f581e
Publikováno v:
Daedalus, 2024 Apr 01. 153(2), 301-315.
Externí odkaz:
https://www.jstor.org/stable/48774454