Daniela Szwarcman

According to our database, Daniela Szwarcman authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial network.

Takuya Kurihana, Kyongmin Yeo, Daniela Szwarcman, Bruce Elmegreen, S. Karthik Mukkavilli, Johannes Schmude, Levente J. Klein

CoRR, 2023

Foundation Models for Generalist Geospatial Artificial Intelligence.

Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu K. Ganti, Kommy Weldemariam, Rahul Ramachandran

CoRR, 2023

Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling.

Qidong Yang, Alex Hernández-García, Paula Harder, Venkatesh Ramesh, Prasanna Sattigeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick

CoRR, 2023

2022

Generating physically-consistent high-resolution climate data with hard-constrained neural networks.

Paula Harder, Qidong Yang, Venkatesh Ramesh, Prasanna Sattigeri, Alex Hernández-García, Campbell D. Watson, Daniela Szwarcman, David S. Rolnick

CoRR, 2022

Quantum-inspired evolutionary algorithm applied to neural architecture search.

Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco

Appl. Soft Comput., 2022

2021

Enabling Robust Horizon Picking From Small Training Sets.

Andréa Britto Mattos, Daniel Civitarese, Daniela Szwarcman, Matheus Oliveira, Semen Zaytsev, Daniil Semin, Dário A. B. Oliveira

IEEE Trans. Geosci. Remote. Sens., 2021

Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network.

Daniel Salles Civitarese, Daniela Szwarcman, Bianca Zadrozny, Campbell D. Watson

CoRR, 2021

A modular framework for extreme weather generation.

Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dário A. B. Oliveira, Eduardo Rodrigues, Jorge Guevara Diaz

CoRR, 2021

2019

Semantic Segmentation of Seismic Images.

Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny

CoRR, 2019

Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation.

Reinaldo Mozart Da Gama e Silva, Lais Baroni, Rodrigo S. Ferreira, Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil

CoRR, 2019

Penobscot Dataset: Fostering Machine Learning Development for Seismic Interpretation.

Lais Baroni, Reinaldo Mozart Da Gama e Silva, Rodrigo S. Ferreira, Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil

CoRR, 2019

Quantum-Inspired Neural Architecture Search.

Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco

Proceedings of the International Joint Conference on Neural Networks, 2019

Q-NAS Revisited: Exploring Evolution Fitness to Improve Efficiency.

Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Efficient Classification of Seismic Textures.

Daniel Salles Chevitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018