JG
Justin Gottschlich
cs.AIcs.LGcs.PLcs.SEstat.MLcs.NEcs.CEcs.CLcs.DBcs.DC
On Valency
published · living versionsW_u7fa5rax·v1 · currentpublished
MLSys: The New Frontier of Machine Learning Systems
with Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen +64
1 version
Preprints & journals
21 papers in the corpus · 2017–2022A Skew-Sensitive Evaluation Framework for Imbalanced Data Classification2010.05995v2 · Min Du, Nesime Tatbul, Brian Rivers et al.2020 · 5 citationsarXiv
Learning Fitness Functions for Machine Programming1908.08783v5 · Shantanu Mandal, Todd A. Anderson, Javier S. Turek et al.2019 · 3 citationsProceedings of Machine Learning and Systems (MLSys), 3 (2021), 139-155
Synthesizing Programs with Continuous Optimization2211.00828v2 · Shantanu Mandal, Todd A. Anderson, Javier Turek et al.2022 · 0 citationsarXiv
Learned Garbage Collection2004.13301v1 · Lujing Cen, Ryan Marcus, Hongzi Mao et al.2020 · 9 citationsarXiv
Simulation Intelligence: Towards a New Generation of Scientific Methods2112.03235v2 · Alexander Lavin, David Krakauer, Hector Zenil et al.2021 · 70 citationsarXiv
MP-CodeCheck: Evolving Logical Expression Code Anomaly Learning with Iterative Self-Supervision2204.07225v1 · Urs C. Muff, Celine Lee, Paul Gottschlich et al.2022 · 0 citationsarXiv
The Three Pillars of Machine Programming1803.07244v3 · Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul et al.2018 · 57 citationsarXiv
MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure2006.05265v6 · Fangke Ye, Shengtian Zhou, Anand Venkat et al.2020 · 5 citationsarXiv
Toward Code Generation: A Survey and Lessons from Semantic Parsing2105.03317v1 · Celine Lee (1, Justin Gottschlich (1, Dan Roth2021 · 9 citationsarXiv
ControlFlag: A Self-Supervised Idiosyncratic Pattern Detection System for Software Control Structures2011.03616v5 · Niranjan Hasabnis, Justin Gottschlich2020 · 10 citationsarXiv
Software Language Comprehension using a Program-Derived Semantics Graph2004.00768v3 · Roshni G. Iyer, Yizhou Sun, Wei Wang et al.2020 · 1 citationarXiv
An Abstraction-Based Framework for Neural Network Verification1910.14574v2 · Yizhak Yisrael Elboher, Justin Gottschlich, Guy Katz2019 · 124 citationsarXiv
Context-Aware Parse Trees2003.11118v1 · Fangke Ye, Shengtian Zhou, Anand Venkat et al.2020 · 2 citationsarXiv
A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions1709.07536v6 · Mejbah Alam, Justin Gottschlich, Nesime Tatbul et al.2017 · 23 citationsarXiv
MLSys: The New Frontier of Machine Learning Systems1904.03257v3 · Alexander Ratner, Dan Alistarh, Gustavo Alonso et al.2019 · 20 citationsarXivon Valency
Precision and Recall for Time Series1803.03639v3 · Nesime Tatbul, Tae Jun Lee, Stan Zdonik et al.2018 · 38 citationsarXiv
Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection1801.03168v3 · Tae Jun Lee, Justin Gottschlich, Nesime Tatbul et al.2018 · 31 citationsarXiv
Precision and Recall for Range-Based Anomaly Detection1801.03175v3 · Tae Jun Lee, Justin Gottschlich, Nesime Tatbul et al.2018 · 9 citationsarXiv
Toward Scalable Verification for Safety-Critical Deep Networks1801.05950v2 · Lindsey Kuper, Guy Katz, Justin Gottschlich et al.2018 · 20 citationsarXiv
Paranom: A Parallel Anomaly Dataset Generator1801.03164v1 · Justin Gottschlich2018 · 2 citationsarXiv
AI Programmer: Autonomously Creating Software Programs Using Genetic Algorithms1709.05703v1 · Kory Becker, Justin Gottschlich2017 · 20 citationsarXiv
Career total: 58 works. 21 are in this corpus.
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