Tom Beucler

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Papers (8)

1. A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models cs.LG · 2026 · author #5
2. Emulating Non-Differentiable Metrics via Knowledge-Guided Learning: Introducing the Minkowski Image Loss cs.LG · 2026 · author #3
3. Dissipating the correlation smokescreen: Causal decomposition of the radiative effects of biomass burning aerosols over the South-East Atlantic physics.ao-ph · 2026 · author #3
4. Data-Driven Integration Kernels for Interpretable Nonlocal Operator Learning cs.LG · 2026 · author #6
5. Machine Learning of Vertical Fluxes by Unresolved Midlatitude Mesoscale Processes physics.ao-ph · 2026 · author #3
6. Beyond the Training Data: Confidence-Guided Mixing of Parameterizations in a Hybrid AI-Climate Model physics.ao-ph · 2025 · author #2
7. Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting stat.AP · 2025 · author #8
8. Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling physics.ao-ph · 2019 · author #1

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Frequent Coauthors

• Filippo Quarenghi 2 shared papers
• David Neubauer 1 shared papers
• Emilie Fons 1 shared papers
• Erisa Ismaili 1 shared papers
• Frederick Iat-Hin Tam 1 shared papers
• Helge Heuer 1 shared papers
• Isabel L. McCoy 1 shared papers
• Jakob Runge 1 shared papers
• Jane W. Baldwin 1 shared papers
• Jerry Lin 1 shared papers
• Julien Savre 1 shared papers
• Kate Musgrave 1 shared papers
• Manuel Schlund 1 shared papers
• Marie McGraw 1 shared papers
• Mark DeMaria 1 shared papers
• Mathieu Vrac 1 shared papers
• Max Defez 1 shared papers
• Michael Pritchard 1 shared papers
• Michael S. Pritchard 1 shared papers
• Mierk Schwabe 1 shared papers