Characterizing heatwaves based on land surface energy budget. Communications Earth & Environment, (5)1Springer Science and Business Media LLC, October 2024. [PUMA: budget energy heatwaves land surface] URL
Characterizing heatwaves based on land surface energy budget. Communications Earth & Environment, (5)1Springer Science and Business Media LLC, October 2024. [PUMA: energy heatwaves surface land from:scadsfct budget] URL
Machine Learning Interatomic Potentials for Reactive Hydrogen Dynamics at Metal Surfaces Based on Iterative Refinement of Reaction Probabilities. The Journal of Physical Chemistry C, (127)50:24168–24182, American Chemical Society (ACS), December 2023. [PUMA: Computer_simulations Energy Hydrogen Mathematical_methods Scattering] URL
Few-Shot Learning for Argument Aspects of the Nuclear Energy Debate. In Nicoletta Calzolari, Frederic Bechet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Helene Mazo, Jan Odijk, and Stelios Piperidis (Eds.), 2022 Language Resources and Evaluation Conference, LREC 2022, 663--672, European Language Resources Association (ELRA), 2022. [PUMA: FIS_scads argument aspect-based aspects, classification discourse, energy few-shot frames, learning, mining, nuclear text]
Memory-efficient deep learning on a SpiNNaker 2 prototype. Front. Neurosci., (12):840, Frontiers Media SA, November 2018. [PUMA: SpiNNaker; deep efficient energy footprint; hardware; memory parallelism; pruning; rewiring; sparsity]