Sankeerth Rao Karingula

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Boosted Embeddings for Time-Series Forecasting	2022	Sankeerth Rao Karingula Nandini Ramanan Rasool Tahmasbi Mehrnaz Amjadi Deokwoo Jung Ricky Si Charanraj Thimmisetty Luisa F. Polanía Marjorie Sayer Jake Taylor
+	Boosted Embeddings for Time Series Forecasting	2021	Sankeerth Rao Karingula Nandini Ramanan Rasool Tahmasbi Mehrnaz Amjadi Deokwoo Jung Ricky Si Charanraj Thimmisetty Luisa Polania Cabrera Marjorie Sayer Claudionor N. Coelho
+	Time Series Anomaly Detection with label-free Model Selection	2021	Deokwoo Jung Nandini Ramanan Mehrnaz Amjadi Sankeerth Rao Karingula Jake Taylor Claudionor N. Coelho
+	Singularity of Random Integer Matrices with Large Entries	2021	Sankeerth Rao Karingula Shachar Lovett
+	Boosted Embeddings for Time Series Forecasting	2021	Sankeerth Rao Karingula Nandini Ramanan Rasool Tahmasbi Mehrnaz Amjadi Deokwoo Jung Ricky Si Charanraj Thimmisetty Luisa Polania Cabrera Marjorie Sayer Claudionor N. Coelho
+	Codes over integers, and the singularity of random matrices with large entries	2020	Sankeerth Rao Karingula Shachar Lovett
+ PDF Chat	Probabilistic existence of large sets of designs	2020	Shachar Lovett Sankeerth Rao Karingula Alexander Vardy
+	Singularity of random integer matrices with large entries	2020	Sankeerth Rao Karingula Shachar Lovett

Common Coauthors

Coauthor	Papers Together
Mehrnaz Amjadi	4
Claudionor N. Coelho	4
Nandini Ramanan	4
Deokwoo Jung	4
Shachar Lovett	4
Rasool Tahmasbi	3
Ricky Si	3
Charanraj Thimmisetty	3
Marjorie Sayer	3
Luisa Polania Cabrera	2
Jake Taylor	2
Luisa F. Polanía	1
Alexander Vardy	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Recurrent Neural Networks for Time Series Forecasting: Current status and future directions	2020	Hansika Hewamalage Christoph Bergmeir Kasun Bandara	2
+	DeepAR: Probabilistic forecasting with autoregressive recurrent networks	2019	David Salinas Valentín Flunkert Jan Gasthaus Tim Januschowski	2
+ PDF Chat	End-to-end attention-based large vocabulary speech recognition	2016	Dzmitry Bahdanau Jan Chorowski Dmitriy Serdyuk Philémon Brakel Yoshua Bengio	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Stochastic gradient boosting	2002	Jerome H. Friedman	2
+	Singular matrices and a uniform bound for congruence groups of SLn(Z)	1993	Yonatan Katznelson	1
+	Estimation procedures for structural time series models	1990	A. C. Harvey Simon Peters	1
+	On the singularity probability of discrete random matrices	2009	Jean Bourgain Van H. Vu Philip Matchett Wood	1
+	On a Certain Converse of Hölder’s Inequality	1972	Л. Леиндлер	1
+	On the singularity probability of random Bernoulli matrices	2007	Terence Tao Van Vu	1
+	A Combinatorial Approach to Threshold Schemes	1988	D. R. Stinson Scott A. Vanstone	1
+ PDF Chat	A constructive proof of the Lovász local lemma	2009	Robin A. Moser	1
+ PDF Chat	Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)	2000	Jerome H. Friedman Trevor Hastie Robert Tibshirani	1
+ PDF Chat	On sets of vectors of a finite vector space in which every subset of basis size is a basis	2012	Simeon Ball	1
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	1
+ PDF Chat	Curve razionali normali ek-archi negli spazi finiti	1955	Beniamino Segre	1
+ PDF Chat	On the probability that a random ±1-matrix is singular	1995	Jeff Kahn János Komlós Endre Szemerédi	1
+	On the Kolmogorov-Rogozin inequality for the concentration function	1966	Carl-Gustav Esseen	1
+ PDF Chat	Distributional and $L^{q}$ norm inequalities for polynomials over convex bodies in ${\Bbb R}^n$	2001	Anthony Carbery James Wright	1
+ PDF Chat	The Littlewood–Offord problem and invertibility of random matrices	2008	Mark Rudelson Roman Vershynin	1
+	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	1
+ PDF Chat	Tree codes and a conjecture on exponential sums	2014	Cristopher Moore Leonard J. Schulman	1
+ PDF Chat	A constructive proof of the general lovász local lemma	2010	Robin A. Moser Gábor Tardos	1
+	Efficient algorithms for mining outliers from large data sets	2000	Sridhar Ramaswamy Rajeev Rastogi Kyuseok Shim	1
+	Probabilistic existence of regular combinatorial structures	2011	Greg Kuperberg Shachar Lovett Ron Peled	1
+ PDF Chat	Toward Supervised Anomaly Detection	2013	Nico Goernitz Michael Kloft Konrad Rieck Ulf Brefeld	1
+	One‐factorizations of the complete graph—A survey	1985	Eric Mendelsohn Alexander Rosa	1
+ PDF Chat	Constructions for $q$-Ary Constant-Weight Codes	2007	Yeow Meng Chee San Ling	1
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	1
+	LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection	2016	Pankaj Malhotra Anusha Ramakrishnan Gaurangi Anand Lovekesh Vig Puneet Agarwal Gautam Shroff	1
+	On random ±1 matrices: Singularity and determinant	2006	Terence Tao Van Vu	1
+	A Structured Self-attentive Sentence Embedding	2017	Zhouhan Lin Minwei Feng Cícero Nogueira dos Santos Mo Yu Bing Xiang Bowen Zhou Yoshua Bengio	1
+ PDF Chat	The Independence Number of the Birkhoff Polytope Graph, and Applications to Maximally Recoverable Codes	2017	Daniel M. Kane Shachar Lovett Sankeerth Rao	1
+	CatBoost: gradient boosting with categorical features support	2018	Anna Veronika Dorogush Vasily Ershov Andrey Gulin	1
+	Extended Isolation Forest	2019	Sahand Hariri M. Carrasco Kind Robert J. Brunner	1
+	Interlacing Families I: Bipartite Ramanujan Graphs of All Degrees	2013	Adam W. Marcus Daniel A. Spielman Nikhil Srivastava	1
+	Interlacing Families II: Mixed Characteristic Polynomials and the Kadison-Singer Problem	2013	Adam W. Marcus Daniel A. Spielman Nikhil Srivastava	1
+	Time2Vec: Learning a Vector Representation of Time	2019	Seyed Mehran Kazemi Rishab Goel Sepehr Eghbali Janahan Ramanan Jaspreet Sahota Sanjay Thakur Stella Wu Cathal Smyth Pascal Poupart Marcus A. Brubaker	1
+ PDF Chat	Further Progress on the GM-MDS Conjecture for Reed-Solomon Codes	2018	Hikmet Yıldız Babak Hassii	1
+	Functional Gradient Boosting based on Residual Network Perception	2018	Atsushi Nitanda Taiji Suzuki	1
+ PDF Chat	Erasure coding for distributed storage: an overview	2018	S. B. Balaji M. Nikhil Krishnan Myna Vajha Vinayak Ramkumar Birenjith Sasidharan P. Vijay Kumar	1
+ PDF Chat	Non-asymptotic Theory of Random Matrices: Extreme Singular Values	2011	Mark Rudelson Roman Vershynin	1
+ PDF Chat	On the existence of MDS codes over small fields with constrained generator matrices	2014	Son Hoang Dau Wentu Song Chau Yuen	1
+	AR-Net: A simple Auto-Regressive Neural Network for time-series	2019	Oskar Triebe Nikolay Laptev Ram Rajagopal	1
+ PDF Chat	The Communication Complexity of Optimization	2019	Santosh Vempala Ruosong Wang David P. Woodruff	1
+ PDF Chat	Singularity of random Bernoulli matrices	2020	Konstantin Tikhomirov	1
+ PDF Chat	Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection	2019	Zekun Xu Deovrat Kakde Arin Chaudhuri	1
+	Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art	2020	Mohammad Braei Sebastian Wagner	1
+ PDF Chat	Anomaly detection by robust statistics	2017	Peter J. Rousseeuw Mia Hubert	1
+	Boosted Embeddings for Time Series Forecasting	2021	Sankeerth Rao Karingula Nandini Ramanan Rasool Tahmasbi Mehrnaz Amjadi Deokwoo Jung Ricky Si Charanraj Thimmisetty Luisa Polania Cabrera Marjorie Sayer Claudionor N. Coelho	1