29 citations · 40 across the 7 of their papers we have counts for
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cs.LG2026
Physics-Aware Self-Supervised Pretraining on Multi-Domain Raman Spectra
Charalampos Davalas, Georgios Levantinos, Anastasios Dimitriou +3
Raman spectroscopy generates large volumes of unlabeled data that are difficult to exploit with conventional supervised learning. This work introduces a multi-domain self-supervise…
cs.LG2022★ 6 cited
Deep Learning for Global Wildfire Forecasting
Ioannis Prapas, Akanksha Ahuja, Spyros Kondylatos +7
Climate change is expected to aggravate wildfire activity through the exacerbation of fire weather. Improving our capabilities to anticipate wildfires on a global scale is of utter…