Zsuzsanna Marka

Researcher, Columbia University

Joined

July 2019

Names

Zsuzsanna Marka

,

Zsuzsa Marka

Emails

****@astro.columbia.edu (Confirmed)

Personal Links

Career & Education History

Researcher

Columbia University (columbia.edu)

2006 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
Shiyu Wang, Mariam Avagyan, Yihan Shen, Arnaud Lamy, Tingran Wang, Szabolcs Marka, Zsuzsanna Marka, John Wright
- ICML 2025 poster
- Readers: Everyone
Generalized approach to matched filtering using neural networks
Jingkai Yan, Mariam Avagyan, Robert E. Colgan, Doğa Veske, Imre Bartos, John Wright, Zsuzsanna Marka, Szabolcs Marka
- Physical Review D
- Readers: Everyone
TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds
Jingkai Yan, Shiyu Wang, Xinyu Rain Wei, Jimmy Wang, Zsuzsanna Marka, Szabolcs Marka, John Wright
- Submitted to ICLR 2024
- Readers: Everyone
Architectural Optimization and Feature Learning for High-Dimensional Time Series Datasets
Robert E. Colgan, Jingkai Yan, Zsuzsa Márka, Imre Bartos, Szabolcs Márka, John N. Wright
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through Feature Learning
Robert E. Colgan, Zsuzsa Márka, Jingkai Yan, Imre Bartos, John N. Wright, Szabolcs Márka
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks
Jingkai Yan, Robert E. Colgan, John Wright, Zsuzsa Márka, Imre Bartos, Szabolcs Márka
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
Quantum encoding is suitable for matched filtering
Doga Veske, Cenk Tüysüz, Mirko Amico, Nicholas T. Bronn, Olivia T. Lanes, Zsuzsa Márka, Szabolcs Márka
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
Enhancing gravitational-wave science with machine learning
Elena Cuoco, Jade Powell, Marco Cavaglià, Kendall Ackley, Michal Bejger, Chayan Chatterjee, Michael Coughlin, Scott Coughlin, Paul Easter, Reed Essick, Hunter Gabbard, Timothy Gebhard, Shaon Ghosh, Leïla Haegel, Alberto Iess, David Keitel, Zsuzsa Márka, Szabolcs Márka, Filip Morawski, Tri Nguyen et al. (6 additional authors not shown)
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- Mach. Learn. Sci. Technol. 2021
- Readers: Everyone
Generalized Approach to Matched Filtering using Neural Networks
Jingkai Yan, Mariam Avagyan, Robert E. Colgan, Doga Veske, Imre Bartos, John N. Wright, Zsuzsa Márka, Szabolcs Márka
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- CoRR 2021
- Readers: Everyone
Enabling real-time multi-messenger astrophysics discoveries with deep learning
E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl et al. (40 additional authors not shown)
- Published: 01 Jan 2019, Last Modified: 12 May 2023
- CoRR 2019
- Readers: Everyone

Co-Authors

View all 103 co-authors