Sunand Raghupathi

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All published works

Action	Title	Year	Authors
+	ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods	2021	Victor Schmidt Alexandra Sasha Luccioni Mélisande Teng Tianyu Zhang Alexia Reynaud Sunand Raghupathi Gautier Cosne Adrien Juraver Vahe Vardanyan Álex Hernández-García
+	Beyond Categorical Label Representations for Image Classification	2021	Boyuan Chen Yu Li Sunand Raghupathi Hod Lipson
+	Discovering State Variables Hidden in Experimental Data	2021	Boyuan Chen Kuang Huang Sunand Raghupathi Ishaan Chandratreya Qiang Du Hod Lipson
+	ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods	2021	Victor Schmidt Alexandra Sasha Luccioni Mélisande Teng Tianyu Zhang Alexia Reynaud Sunand Raghupathi Gautier Cosne Adrien Juraver V. R. Vardanyan Álex Hernández-García
+	RealCause: Realistic Causal Inference Benchmarking.	2020	Brady Neal Chin-Wei Huang Sunand Raghupathi
+	RealCause: Realistic Causal Inference Benchmarking	2020	Brady Neal Chin‐Wei Huang Sunand Raghupathi

Common Coauthors

Coauthor	Papers Together
Adrien Juraver	2
Brady Neal	2
Gautier Cosne	2
Victor Schmidt	2
Hod Lipson	2
Mélisande Teng	2
Álex Hernández-García	2
Alexia Reynaud	2
Yoshua Bengio	2
Alexandra Sasha Luccioni	2
Tianyu Zhang	2
Chin‐Wei Huang	1
Ishaan Chandratreya	1
Vahe Vardanyan	1
V. R. Vardanyan	1
Yu Li	1
Qiang Du	1
Boyuan Chen	1
Chin-Wei Huang	1
Kuang Huang	1
Boyuan Chen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A Probabilistic Calculus of Actions	1994	Judea Pearl	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	1
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	1
+	Statistics and Causal Inference	1986	Paul W. Holland	1
+	An omnibus test for the two-sample problem using the empirical characteristic function	1986	T. W. Epps Kenneth J. Singleton	1
+ PDF Chat	Multivariate Generalizations of the Wald-Wolfowitz and Smirnov Two-Sample Tests	1979	Jerome H. Friedman Lawrence C. Rafsky	1
+	Bayesian Nonparametric Modeling for Causal Inference	2010	Jennifer Hill	1
+	Can Nonrandomized Experiments Yield Accurate Answers? A Randomized Experiment Comparing Random and Nonrandom Assignments	2008	William R. Shadish M. H. Clark Peter M. Steiner	1
+	Graph-Theoretic Measures of Multivariate Association and Prediction	1983	Jerome H. Friedman Lawrence C. Rafsky	1
+	A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect	1986	James M. Robins	1
+	Bias-Corrected Matching Estimators for Average Treatment Effects	2010	Alberto Abadie Guido W. Imbens	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	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+ PDF Chat	Bootstrap Methods: Another Look at the Jackknife	1979	B. Efron	1
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	1
+	Estimating causal effects of treatments in randomized and nonrandomized studies.	1974	Donald B. Rubin	1
+	Introduction to Robust Estimation and Hypothesis Testing	2012	Rand R. Wilcox	1
+	Implementation of G-Computation on a Simulated Data Set: Demonstration of a Causal Inference Technique	2011	Jonathan M. Snowden Sherri Rose Kathleen Mortimer	1
+ PDF Chat	The performance of estimators based on the propensity score	2013	Martin Huber Michael Lechner Conny Wunsch	1
+	Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks	2015	Nicolas Papernot Patrick McDaniel Xi Wu Somesh Jha Ananthram Swami	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+ PDF Chat	Understanding adversarial training: Increasing local stability of supervised models through robust optimization	2018	Uri Shaham Yutaro Yamada Sahand Negahban	1
+ PDF Chat	Perceptual Losses for Real-Time Style Transfer and Super-Resolution	2016	Justin Johnson Alexandre Alahi Li Fei-Fei	1
+	One-shot Learning with Memory-Augmented Neural Networks	2016	Adam Santoro Sergey Bartunov Matthew Botvinick Daan Wierstra Timothy Lillicrap	1
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	1
+	Adversarial examples in the physical world	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	1
+	Blocking Transferability of Adversarial Examples in Black-Box Learning Systems	2017	Hossein Hosseini Yize Chen Sreeram Kannan Baosen Zhang Radha Poovendran	1
+ PDF Chat	Practical Black-Box Attacks against Machine Learning	2017	Nicolas Papernot Patrick McDaniel Ian Goodfellow Somesh Jha Z. Berkay Celik Ananthram Swami	1
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	1
+	Extending Defensive Distillation	2017	Nicolas Papernot Patrick McDaniel	1
+	Causal Effect Inference with Deep Latent-Variable Models	2017	Christos Louizos Uri Shalit Joris M. Mooij David Sontag Richard S. Zemel Max Welling	1
+ PDF Chat	Metalearners for estimating heterogeneous treatment effects using machine learning	2019	Sören R. Künzel Jasjeet S. Sekhon Peter J. Bickel Bin Yu	1
+	Meta-SGD: Learning to Learn Quickly for Few-Shot Learning	2017	Zhenguo Li Fengwei Zhou Fei Chen Hang Li	1
+	PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples	2017	Yang Song Taesup Kim Sebastian Nowozin Stefano Ermon Nate Kushman	1
+	Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset	2017	Alejandro Schuler Ken Jung Robert Tibshirani Trevor Hastie Nigam H. Shah	1
+ PDF Chat	Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser	2018	Fangzhou Liao Ming Liang Yinpeng Dong Tianyu Pang Xiaolin Hu Jun Zhu	1
+	How well does your sampler really work?	2017	Ryan Turner Brady Neal	1
+	Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis.	2018	Yishai Shimoni Chen Yanover Ehud Karavani Yaara Goldschmnidt	1
+	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation	2018	Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam	1
+	Multimodal Unsupervised Image-to-Image Translation	2018	Xun Huang Ming-Yu Liu Serge Belongie Jan Kautz	1
+	Comparing methods for estimation of heterogeneous treatment effects using observational data from health care databases	2018	Thierry Wendling Kenneth Jung Alison Callahan Alejandro Schuler Nigam H. Shah Blanca Gallego	1
+	Removing Hidden Confounding by Experimental Grounding	2018	Nathan Kallus Aahlad Puli Uri Shalit	1
+	Meta-Learning: A Survey	2018	Joaquin Vanschoren	1
+ PDF Chat	The Open Images Dataset V4	2020	Alina Kuznetsova Hassan Rom Neil Alldrin Jasper Uijlings Ivan Krasin Jordi Pont-Tuset Shahab Kamali Stefan Popov Matteo Malloci Alexander Kolesnikov	1
+	Few-shot Learning: A Survey	2019	Yaqing Wang Quanming Yao	1
+	Generalizing from a Few Examples: A Survey on Few-Shot Learning	2019	Yaqing Wang Quanming Yao James T. Kwok Lionel M. Ni	1
+	Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks	2019	Victor Schmidt Alexandra Sasha Luccioni S. Karthik Mukkavilli Narmada Balasooriya Kris Sankaran Jennifer Chayes Yoshua Bengio	1
+	An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference	2019	Yishai Shimoni Ehud Karavani Sivan Ravid Peter Michael Bak Tan Hung Ng Sharon Hensley Alford Denise Meade Yaara Goldschmidt	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1