Matthew L. Weiss

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning	2022	Matthew L. Weiss Joseph McDonald David Bestor Charles Yee Daniel Edelman Michael Jones Andrew Prout Andrew Bowne Lindsey McEvoy Vijay Gadepally
+ PDF Chat	Developing a Series of AI Challenges for the United States Department of the Air Force	2022	Vijay Gadepally Gregory Angelides Andrei Barbu Andrew Bowne Laura J. Brattain Tamara Broderick Armando Cabrera Glenn Carl Ronisha Carter Miriam Cha
+ PDF Chat	The MIT Supercloud Workload Classification Challenge	2022	Benny J. Tang Qiqi Chen Matthew L. Weiss Nathan C. Frey Joseph McDonald David Bestor Charles Yee William Arcand William Bergeron Chansup Byun
+	Developing a Series of AI Challenges for the United States Department of the Air Force	2022	Vijay Gadepally Gregory Angelides Andrei Barbu Andrew Bowne Laura J. Brattain Tamara Broderick Armando Cabrera Glenn Carl Ronisha Carter Miriam Cha
+	An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning	2022	Matthew L. Weiss J.C. McDonald David Bestor Charles Yee Daniel C. Edelman Michael Jones Andrew Prout Andrew Bowne Lindsey McEvoy Vijay Gadepally
+	The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes	2021	Matthew L. Weiss Nathan C. Frey Siddharth Samsi Randy Paffenroth Vijay Gadepally
+	The MIT Supercloud Dataset	2021	Siddharth Samsi Matthew L. Weiss David Bestor Baolin Li Michael Jones Albert Reuther Daniel Edelman William Arcand Chansup Byun John Holodnack
+	The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes	2021	Matthew L. Weiss Nathan C. Frey Siddharth Samsi Randy Paffenroth Vijay Gadepally

Common Coauthors

Coauthor	Papers Together
Vijay Gadepally	7
Siddharth Samsi	6
Andrew Bowne	5
David Bestor	4
Lindsey McEvoy	4
Jeremy Kepner	4
Charles Yee	4
Andrew Prout	4
Joseph McDonald	3
Daniel Edelman	3
Michael Jones	3
Nathan C. Frey	3
Andrei Barbu	2
Sophia Yuditskaya	2
Glenn Carl	2
Sam Goldberg	2
Laura J. Brattain	2
Randy Paffenroth	2
Miriam Cha	2
William Arcand	2
Mark Veillette	2
Jonathan Taylor	2
Ronisha Carter	2
Kyle McAlpin	2
Jamie Koerner	2
Antonio De Rosa	2
Allan B. Wollaber	2
Brandon Swenson	2
Leslie Shing	2
Gregory Angelides	2
Anna Klein	2
Lauren Milechin	2
Armando Cabrera	2
Albert Reuther	2
Julia Mullen	2
Hrishikesh M. Rao	2
Emilie Cowen	2
Boris Katz	2
David Mayo	2
Kaira Samuel	2
Jesse Cummings	2
Morgan S. Schmidt	2
Adam Michaleas	2
Phillip Isola	2
Tamara Broderick	2
Vivienne Sze	2
Devesh Tiwari	2
Matthew Hubbell	2
T. Perron	2
Chansup Byun	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	3
+ PDF Chat	Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis	2018	Albert Reuther Jeremy Kepner Chansup Byun Siddharth Samsi William Arcand David Bestor Bill Bergeron Vijay Gadepally Michael E. Houle Matthew Hubbell	2
+	Hilbert Space Methods in Signal Processing	2013	Rodney A. Kennedy Parastoo Sadeghi	2
+ PDF Chat	The MIT Supercloud Workload Classification Challenge	2022	Benny J. Tang Qiqi Chen Matthew L. Weiss Nathan C. Frey Joseph McDonald David Bestor Charles Yee William Arcand William Bergeron Chansup Byun	2
+	Object Recognition with and without Objects	2017	Zhuotun Zhu Lingxi Xie Alan Yuille	1
+ PDF Chat	The Elements of Statistical Learning	2009	Trevor Hastie Robert Tibshirani Jerome H. Friedman	1
+	Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads	2019	Myeongjae Jeon Shivaram Venkataraman Amar Phanishayee Junjie Qian Wencong Xiao Fan Yang	1
+	Big Data Meets HPC Log Analytics: Scalable Approach to Understanding Systems at Extreme Scale	2017	Byung H. Park Saurabh Hukerikar Ryan Adamson Christian Engelmann	1
+ PDF Chat	Cyclical Learning Rates for Training Neural Networks	2017	Leslie N. Smith	1
+ PDF Chat	Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure	2020	E. A. Huerta Asad Khan Edward Davis Colleen Bushell William Gropp Daniel S. Katz Volodymyr Kindratenko Seid Korić William Kramer Brendan McGinty	1
+ PDF Chat	MLPerf Inference Benchmark	2020	Vijay Janapa Reddi Christine Cheng David Kanter Peter Mattson Guenther Schmuelling Carole-Jean Wu Brian A. Anderson Maximilien Breughe Mark Charlebois William Chou	1
+ PDF Chat	A comparative analysis of gradient boosting algorithms	2020	Candice Bentéjac Anna Csörgő Gonzalo Martínez-Muñoz	1
+	Fourier Neural Operator for Parametric Partial Differential Equations	2020	Zongyi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu Kaushik Bhattacharya Andrew M. Stuart Anima Anandkumar	1
+ PDF Chat	Development and Interpretation of a Neural-Network-Based Synthetic Radar Reflectivity Estimator Using GOES-R Satellite Observations	2020	Kyle Hilburn Imme Ebert‐Uphoff Steven D. Miller	1
+ PDF Chat	Deploying AI Frameworks on Secure HPC Systems with Containers	2019	D. Brayford S. Vallecorsa Atanas Atanasov Fabio Baruffa Walter Riviera	1
+	Creating a Multitrack Classical Music Performance Dataset for Multimodal Music Analysis: Challenges, Insights, and Applications	2018	Bochen Li Xinzhao Liu Karthik Dinesh Zhiyao Duan Gaurav Sharma	1
+	Technical Report on Data Integration and Preparation	2021	El Kindi Rezig Michael Cafarella Vijay Gadepally	1
+ PDF Chat	FNet: Mixing Tokens with Fourier Transforms	2022	James Lee-Thorp Joshua Ainslie Ilya Eckstein Santiago Ontañón	1
+ PDF Chat	Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset	2021	Ian Palmer Andrew Rouditchenko Andrei Barbu Boris Katz James Glass	1
+ PDF Chat	Skilful precipitation nowcasting using deep generative models of radar	2021	Suman Ravuri Karel Lenc Matthew Willson Dmitry Kangin Rémi Lam Piotr Mirowski M. A. Fitzsimons Maria Athanassiadou Sheleem Kashem Sam Madge	1
+	Graph-Guided Network for Irregularly Sampled Multivariate Time Series	2021	Xiang Zhang Marko Zeman Theodoros Tsiligkaridis Marinka Žitnik	1
+ PDF Chat	AI Accelerator Survey and Trends	2021	Albert Reuther Peter Michaleas Michael Jones Vijay Gadepally Siddharth Samsi Jeremy Kepner	1
+	Time Series Alignment with Global Invariances	2020	Titouan Vayer Romain Tavenard Laëtitia Chapel Nicolas Courty Rémi Flamary Yann Soullard	1
+	Signal Enhancement for Magnetic Navigation Challenge Problem	2020	Albert R. Gnadt J. Belarge Aaron Canciani Glenn Carl Lauren Conger Joseph Curro Alan Edelman Peter Morales Aaron P. Nielsen Michael O’Keeffe	1
+	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting	2015	Xingjian Shi Zhourong Chen Hao Wang Dit‐Yan Yeung Wai Kin Wong Wang‐chun Woo	1
+	Hilbert space methods	2012	Mariano Giaquinta Luca Martinazzi	1
+	Introduction to Spectral Theory in Hilbert Space	1969	Gilbert Helmberg	1
+	Approximation Theory and Methods.	1982	Lars B. Wahlbin M. J. D. Powell	1
+ PDF Chat	Deep learning in neural networks: An overview	2014	Jürgen Schmidhuber	1