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Alex A Saoulis

Observed names: A A Saoulis, Alex Saoulis, Alexandros Angelos Saoulis, Saoulis, A. A., Saoulis, Alex, Saoulis, Alex A.
ORCID: 0009-0005-1486-8681
Observed ORCID: 0009-0005-1486-8681
OpenAlex ID: A5063759405
FathomDEM: an improved global terrain map using a hybrid vision transformer model
2025 · Peter Uhe, Chris Lucas, et al. · Environmental Research Letters · 56
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Full-waveform earthquake source inversion using simulation-based inference
2025 · A A Saoulis, D Piras, et al. · Geophysical Journal International · 9
Diffusion Models for Climate Data Surpass alternative Statistical Downscaling Techniques
2025 · Alexandros Angelos Saoulis, Chris Lucas, et al. · 4
Transfer learning for multifidelity simulation-based inference in cosmology
2025 · Alex A Saoulis, Davide Piras, et al. · Monthly Notices of the Royal Astronomical Society · 3
Charting the mantle
2026 · A M G Ferreira, UPFLOW team, et al. · Astronomy & Geophysics · 1
Semantic segmentation for feature detection in ocean bottom seismometer data
2026 · Alex Saoulis, Afonso Loureiro, et al. · Seismica · 1
Application of novel generative diffusion models to precipitation downscaling
2024 · Alex Saoulis, Sebastian Moraga, et al. · 1
Field-level weak lensing cosmology with 60 simulations using multifidelity simulation-based inference
2026 · Alex A Saoulis, Kiyam Lin, et al. · Monthly Notices of the Royal Astronomical Society
Large-scale bioacoustic detection using semantic segmentation: a deep learning framework applied to fin whale calls in ocean-bottom seismometer recordings
2026 · Japnanto, Jocelyn, Saoulis, Alex A., et al. · arXiv (Cornell University)
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Performance of the 2021-2022 UPFLOW large ocean bottom seismometer array in the Azores-Madeira-Canary Islands region, Atlantic Ocean
2026 · Maria Tsekhmistrenko, Ana M.G. Ferreira, et al. · Seismica
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Improving moment tensor solutions under Earth structure uncertainty with simulation-based inference
2026 · Saoulis, A. A., Pham, T. -S., et al. · arXiv (Cornell University)
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Detecting Fin Whale Calls from Ocean-Bottom Seismometer Data with Deep Learning
2026 · Jocelyn Japnanto, Alex Saoulis, et al.
Can you trust your uncertainties? Improving Bayesian earthquake source inversions using simulation-based inference
2025 · Alex Saoulis, Davide Piras, et al.
Supplementary figures to UPFLOW OBS data report - PPSD Channels 1 and 2
2024 · Tsekhmistrenko, Maria, Ferreira, Ana, et al. · Zenodo (CERN European Organization for Nuclear Research)
Supplementary figures to UPFLOW OBS data report - PPSD Channels H and Z
2024 · Tsekhmistrenko, Maria, Ferreira, Ana, et al. · Zenodo (CERN European Organization for Nuclear Research)
Supplementary figures to UPFLOW OBS data report - Yearly Spectrograms Channel Z
2024 · Tsekhmistrenko, Maria, Ferreira, Ana, et al. · Zenodo (CERN European Organization for Nuclear Research)
Supplementary figures to UPFLOW OBS data report - State-of-Health (SOH)
2024 · Tsekhmistrenko, Maria, Ferreira, Ana, et al. · Zenodo (CERN European Organization for Nuclear Research)
Decoding Ocean Depths: Machine Learning Insights into Tidal Dynamics with UPFLOW’s OBS Data
2024 · Carlos Corela, Alex Saoulis, et al.
Deep Circulation in the North Atlantic from Ocean Bottom Seismometer Noise: Insights from the UPFLOW/iReverb Project
2024 · Afonso Loureiro, Maria Tsekhmistrenko, et al.
Towards Bayesian Full-Waveform Source Inversion using Simulation-Based Inference
2023 · Alex Saoulis, Ana Ferreira, et al.
Works count: 26
Citation count: 79
H-index: 3
I10-index: 1
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