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ORCIDKevin Schawinski
Person information
- affiliation: Modulos AG, Zurich, Switzerland
- affiliation (former): ETH Zurich, Department of Physics, Switzerland
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Journal Articles
- 2019
[j1]Cédric Renggli, Frances Ann Hubis, Bojan Karlas, Kevin Schawinski, Wentao Wu, Ce Zhang:
Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization. Proc. VLDB Endow. 12(12): 1962-1965 (2019)
Conference and Workshop Papers
- 2021
- [c2]Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang:
Ease.ML: A Lifecycle Management System for Machine Learning. CIDR 2021 - 2019
- [c1]Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu, Ce Zhang:
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment. SysML 2019
Informal and Other Publications
- 2024
- [i7]Ernest Perkowski, Rui Pan, Tuan Dung Nguyen, Yuan-Sen Ting
, Sandor Kruk, Tong Zhang, Charlie O'Neill, Maja Jablonska, Zechang Sun, Michael J. Smith, Huiling Liu, Kevin Schawinski, Kartheik Iyer, Ioana Ciuca, UniverseTBD:
AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets. CoRR abs/2401.01916 (2024) - 2023
- [i6]Tuan Dung Nguyen, Yuan-Sen Ting, Ioana Ciuca, Charlie O'Neill, Zechang Sun, Maja Jablonska, Sandor Kruk, Ernest Perkowski, Jack W. Miller, Jason Li, Josh Peek, Kartheik Iyer, Tomasz Rózanski, Pranav Khetarpal, Sharaf Zaman, David Brodrick, Sergio J. Rodríguez Méndez, Thang Bui, Alyssa Goodman, Alberto Accomazzi, Jill P. Naiman, Jesse Cranney, Kevin Schawinski, UniverseTBD:
AstroLLaMA: Towards Specialized Foundation Models in Astronomy. CoRR abs/2309.06126 (2023) - 2022
- [i5]Chuan Tian, C. Megan Urry, Aritra Ghosh, Ryan Ofman, Tonima Tasnim Ananna, Connor Auge, Nico Cappelluti, Meredith C. Powell, David B. Sanders, Kevin Schawinski, Dominic Stark, Grant R. Tremblay:
Using Machine Learning to Determine Morphologies of z<1 AGN Host Galaxies in the Hyper Suprime-Cam Wide Survey. CoRR abs/2212.09984 (2022) - 2019
- [i4]Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu, Ce Zhang:
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment. CoRR abs/1903.00278 (2019) - 2018
- [i3]Sandro Ackermann, Kevin Schawinski, Ce Zhang, Anna K. Weigel, M. Dennis Turp:
Using transfer learning to detect galaxy mergers. CoRR abs/1805.10289 (2018) - [i2]Kevin Schawinski, M. Dennis Turp, Ce Zhang:
Exploring galaxy evolution with generative models. CoRR abs/1812.01114 (2018) - 2017
- [i1]Kevin Schawinski, Ce Zhang, Hantian Zhang, Lucas Fowler, Gokula Krishnan Santhanam:
Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit. CoRR abs/1702.00403 (2017)
Coauthor Index
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