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Themistoklis Sapsis

Massachusetts Institute of Technology (MIT)

SCHOLARLY PAPERS

9

DOWNLOADS

819

TOTAL CITATIONS

7

Scholarly Papers (9)

1.

Deep Learning Vortex-Induced Vibrations: Time-Space Forecasting with Transformers

Number of pages: 14 Posted: 07 Dec 2024
affiliation not provided to SSRN, National Technical University of Athens, Westlake University, Massachusetts Institute of Technology (MIT) and affiliation not provided to SSRN
Downloads 208 (369,861)
Citation 2

Abstract:

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Deep Learning, Transformers, Time-Series Forecasting, Vortex-Induced Vibrations, Multi-Frequency Vibrations

2.

Can Diffusion Models Capture Extreme Event Statistics?

Number of pages: 21 Posted: 03 Sep 2024
Stamatis Stamatelopoulos and Themistoklis Sapsis
affiliation not provided to SSRN and Massachusetts Institute of Technology (MIT)
Downloads 159 (469,621)

Abstract:

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Diffusion Modelling, Extreme Events, Geometry

3.

Machine learning framework for the real-time reconstruction of regional 4D ocean temperature fields from historical reanalysis data and real-time satellite and buoy surface measurements

Physica D: Nonlinear Phenomena, volume 459, 2024[10.1016/j.physd.2023.134026]
Number of pages: 36 Posted: 08 Jul 2022
Bianca Champenois and Themistoklis Sapsis
Massachusetts Institute of Technology (MIT) - Department of Mechanical Engineering and Massachusetts Institute of Technology (MIT)
Downloads 113 (626,371)
Citation 5

Abstract:

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ocean temperature, temporal convolutional network, uncertainty quantification

4.

What are the most informative data points for predicting extreme events?

Number of pages: 27 Posted: 24 Feb 2025 Last Revised: 07 Aug 2025
Bianca Champenois and Themistoklis Sapsis
Massachusetts Institute of Technology (MIT) - Department of Mechanical Engineering and Massachusetts Institute of Technology (MIT)
Downloads 87 (759,537)

Abstract:

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active learning, extreme events, climate modeling, machine learning, active data selection

5.

A Generalized Framework for Assessing Cargo Loss Impacts of Alternative Maritime Fuels

Number of pages: 128 Posted: 23 Dec 2025
Massachusetts Institute of Technology (MIT), affiliation not provided to SSRN, Ain Shams University, Massachusetts Institute of Technology (MIT) - Department of Political Science, Massachusetts Institute of Technology (MIT) and Massachusetts Institute of Technology (MIT)
Downloads 66 (907,769)

Abstract:

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Maritime shipping, Alternative fuels, Cargo loss, Vessel design, Boil-off gas, Stowage factor

6.

Surrogate based blade optimization of a 2MW airborne wind turbine concept design

Proceedings of the 9th International Colloquium on Bluff Body Aerodynamics and Applications
Number of pages: 4 Posted: 05 Sep 2024
Antonio J. Álvarez, Themistoklis Sapsis and Felix Nieto
University of A Coruña, Massachusetts Institute of Technology (MIT) and University of A Coruña
Downloads 63 (933,592)

Abstract:

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airborne wind turbine, design concept, BEMT, surrogate model, optimization

7.

Reduced Order Modeling of Hydrodynamic Interactions between a Submarine and Unmanned Underwater Vehicle Using Non-Myopic Multi-Fidelity Active Learning

Number of pages: 29 Posted: 15 Mar 2023
Brady Hammond and Themistoklis Sapsis
United States Department of the Navy and Massachusetts Institute of Technology (MIT)
Downloads 46 (1,109,210)

Abstract:

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Reduced order modeling of hydrodynamic interactions, Unmanned underwater vehicles, Non-myopic active learning, Multi-fidelity Gaussian process regression

8.

Reconstructing Flexible Body Vortex-Induced Vibrations Using Machine-Vision and Predicting the Motions Using Semi-Empirical Models Informed with Transfer Learned Hydrodynamic Coefficients

Number of pages: 10 Posted: 15 Dec 2023
affiliation not provided to SSRN, affiliation not provided to SSRN, Westlake University, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) and affiliation not provided to SSRN
Downloads 42 (1,157,785)

Abstract:

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flexible body vortex induced vibrations (VIV), added mass and lift coefficients, Machine Learning, machine vision, transfer learning, experimental data

9.

Evaluation of Machine Learning Architectures on the Quantification Of Epistemic and Aleatoric Uncertainties In Complex Dynamical Systems

Number of pages: 64 Posted: 23 Jun 2023
Stephen Carrol Guth, Alireza Mojahed and Themistoklis Sapsis
affiliation not provided to SSRN, JP Morgan Chase & Co. - JP Morgan Chase Institute and Massachusetts Institute of Technology (MIT)
Downloads 35 (1,249,711)

Abstract:

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Uncertainty quantification, Gaussian Process, Ensemble Neural Networks, Reduced Order Modeling