Sheheryar Zaidi

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All published works

Action	Title	Year	Authors
+ PDF Chat	Authors’ Reply to the Discussion of ‘Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid-19 Epidemic in British Local Authorities’ by Teh et al. in Session 2 of the Royal Statistical Society’s Special Topic Meeting on COVID-19 Transmission: 11 June 2021	2022	Yee Whye Teh Bryn Elesedy Bobby He Michael Hutchinson Sheheryar Zaidi Avishkar Bhoopchand Ulrich Paquet Nenad Tomašev Jonathan M. Read Peter J. Diggle
+ PDF Chat	Efficient Bayesian inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid-19 Epidemic in British Local Authorities	2022	Yee Whye Teh Bryn Elesedy Bobby He Michael Hutchinson Sheheryar Zaidi Avishkar Bhoopchand Ulrich Paquet Nenad Tomašev Jonathan M. Read Peter J. Diggle
+	Pre-training via Denoising for Molecular Property Prediction	2022	Sheheryar Zaidi Michael Schaarschmidt James Martens Hyunjik Kim Yee Whye Teh Álvaro Sánchez‐González Peter Battaglia Razvan Pascanu Jonathan Godwin
+	When Does Re-initialization Work?	2022	Sheheryar Zaidi Tudor Berariu Hyunjik Kim Jörg Bornschein Claudia Clopath Yee Whye Teh Razvan Pascanu
+ PDF Chat	Effectiveness and resource requirements of test, trace and isolate strategies for COVID in the UK	2021	Bobby He Sheheryar Zaidi Bryn Elesedy Michael Hutchinson Andrei Paleyes Guy Harling Margaret Johnson Yee Whye Teh
+	Provably Strict Generalisation Benefit for Equivariant Models	2021	Bryn Elesedy Sheheryar Zaidi
+	Provably Strict Generalisation Benefit for Equivariant Models	2021	Bryn Elesedy Sheheryar Zaidi
+	Neural Ensemble Search for Performant and Calibrated Predictions.	2020	Sheheryar Zaidi Arber Zela Thomas Elsken Chris Holmes Frank Hutter Yee Whye Teh
+	Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators	2020	Tom Rainforth Adam Goliński Frank Wood Sheheryar Zaidi
+	LieTransformer: Equivariant self-attention for Lie Groups	2020	Michael Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim
+	Neural Ensemble Search for Uncertainty Estimation and Dataset Shift	2020	Sheheryar Zaidi Arber Zela Thomas Elsken Chris Holmes Frank Hutter Yee Whye Teh

Common Coauthors

Coauthor	Papers Together
Yee Whye Teh	8
Bryn Elesedy	5
Michael Hutchinson	4
Bobby He	3
Arber Zela	2
Ulrich Paquet	2
Thomas Elsken	2
Avishkar Bhoopchand	2
Frank Hutter	2
Razvan Pascanu	2
Jonathan M. Read	2
Hyunjik Kim	2
Nenad Tomašev	2
Peter J. Diggle	2
Chris Holmes	2
Andrei Paleyes	1
Frank Wood	1
Adam Goliński	1
Peter Battaglia	1
Charline Le Lan	1
Michael Schaarschmidt	1
Tom Rainforth	1
Emilien Dupont	1
Guy Harling	1
Álvaro Sánchez‐González	1
Tudor Berariu	1
Jonathan Godwin	1
Hyunjik Kim	1
Claudia Clopath	1
Jörg Bornschein	1
James Martens	1
Margaret Johnson	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe	2020	Seth Flaxman Swapnil Mishra Axel Gandy H. Juliette T. Unwin Thomas A. Mellan Helen Coupland Charles Whittaker Harrison Zhu Tresnia Berah Jeffrey W. Eaton	3
+ PDF Chat	Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study	2020	Qifang Bi Yongsheng Wu Shujiang Mei Chenfei Ye Xuan Zou Zhen Zhang Xiaojian Liu Lan Wei Shaun Truelove Tong Zhang	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	1
+	Population Monte Carlo	2004	Olivier Cappé A Guillin Jean‐Michel Marin Christian P. Robert	1
+ PDF Chat	Robustness and generalization	2011	Huan Xu Shie Mannor	1
+ PDF Chat	Monte Carlo Statistical Methods	2000	Hoon Kim Christian P. Robert George Casella	1
+ PDF Chat	Methods for Approximating Integrals in Statistics with Special Emphasis on Bayesian Integration Problems	1995	Michael Evans Tim B. Swartz	1
+	Nested Sampling’s Convergence	2009	John Skilling Paul M. Goggans Chun-Yong Chan	1
+ PDF Chat	Estimating Individual and Household Reproduction Numbers in an Emerging Epidemic	2007	Christophe Fraser	1
+	Warp Bridge Sampling	2002	Xiao‐Li Meng Stephen Schilling	1
+ PDF Chat	On the mean and variance of the generalized inverse of a singular Wishart matrix	2011	R. Dennis Cook Liliana Forzani	1
+ PDF Chat	Simulating normalizing constants: from importance sampling to bridge sampling to path sampling	1998	Andrew Gelman Xiao‐Li Meng	1
+ PDF Chat	On Monte Carlo methods for estimating ratios of normalizing constants	1997	Ming‐Hui Chen Qi-Man Shao	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Contact tracing and disease control	2003	Ken Eames Matt J. Keeling	1
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+ PDF Chat	A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics	2013	Anne Cori Neil M. Ferguson Christophe Fraser Simon Cauchemez	1
+	Tumor development under angiogenic signaling: a dynamical theory of tumor growth, treatment response, and postvascular dormancy.	1999	Philip Hahnfeldt Dipak Panigrahy Judah Folkman Lynn Hlatky	1
+ PDF Chat	Different Epidemic Curves for Severe Acute Respiratory Syndrome Reveal Similar Impacts of Control Measures	2004	Jacco Wallinga	1
+	Nonparametric Importance Sampling	1996	Ping Zhang	1
+ PDF Chat	Contact tracing to control infectious disease: when enough is enough	2007	Benjamin Armbruster Margaret L. Brandeau	1
+	Cuts in Bayesian graphical models	2014	Martyn Plummer	1
+ PDF Chat	How generation intervals shape the relationship between growth rates and reproductive numbers	2006	Jacco Wallinga Marc Lipsitch	1
+ PDF Chat	Factors that make an infectious disease outbreak controllable	2004	Christophe Fraser Steven Riley Roy M. Anderson Neil M. Ferguson	1
+	Adaptive methods for sequential importance sampling with application to state space models	2008	Julien Cornebise Éric Moulines Jimmy Olsson	1
+ PDF Chat	The NumPy Array: A Structure for Efficient Numerical Computation	2011	Stéfan van der Walt Steven C. Colbert Gaël Varoquaux	1
+	Properties of nested sampling	2010	Nicolás Chopin Christian P. Robert	1
+	Stochastic variational inference	2013	Matthew D. Hoffman David M. Blei Chong Wang John Paisley	1
+ PDF Chat	Generalized Multiple Importance Sampling	2019	V́ıctor Elvira Luca Martino David Luengo Mónica F. Bugallo	1
+ PDF Chat	Foundations of Modern Probability	2021	Olav Kallenberg	1
+	Warp Bridge Sampling: The Next Generation	2016	Lazhi Wang David Jones Xiao‐Li Meng	1
+	Deep Amortized Inference for Probabilistic Programs	2016	Daniel Ritchie Paul Horsfall Noah D. Goodman	1
+ PDF Chat	Harmonic Networks: Deep Translation and Rotation Equivariance	2017	Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel Brostow	1
+ PDF Chat	<i>Stan</i>: A Probabilistic Programming Language	2017	Bob Carpenter Andrew Gelman Matthew D. Hoffman Daniel C. Lee Ben Goodrich Michael Betancourt Marcus A. Brubaker Jiqiang Guo Peter Li Allen Riddell	1
+	Equivariance Through Parameter-Sharing	2017	Siamak Ravanbakhsh Jeff Schneider Barnabás Póczos	1
+ PDF Chat	Learning Steerable Filters for Rotation Equivariant CNNs	2018	Maurice Weiler Fred A. Hamprecht Martin Storath	1
+ PDF Chat	Umbrella sampling: a powerful method to sample tails of distributions	2018	Charles H. Matthews Jonathan Weare Andrey V. Kravtsov Elise Jennings	1
+	Inference Suboptimality in Variational Autoencoders	2018	Chris Cremer Xuechen Li David Duvenaud	1
+	On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups	2018	Risi Kondor Shubhendu Trivedi	1
+	Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds	2018	Nathaniel Thomas Tess Smidt Steven Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick Riley	1
+	Contagion! The BBC Four Pandemic – The model behind the documentary	2018	Petra Klepac Stephen M. Kissler Julia R. Gog	1
+ PDF Chat	Learning SO(3) Equivariant Representations with Spherical CNNs	2018	Carlos Esteves Christine Allen-Blanchette Ameesh Makadia Kostas Daniilidis	1
+	3D G-CNNs for Pulmonary Nodule Detection	2018	Marysia Winkels Taco Cohen	1
+	Universal approximations of invariant maps by neural networks	2018	Dmitry Yarotsky	1
+	Loss-Calibrated Approximate Inference in Bayesian Neural Networks	2018	Adam D. Cobb Stephen Roberts Yarin Gal	1
+	On Nesting Monte Carlo Estimators	2018	Tom Rainforth Robert Cornish Hongseok Yang Andrew Warrington Frank Wood	1
+	Surprises in high-dimensional ridgeless least squares interpolation	2022	Trevor Hastie Andrea Montanari Saharon Rosset Ryan J. Tibshirani	1
+	Some summation formulas involving harmonic numbers and generalized harmonic numbers	2011	Junesang Choi H. M. Srivastava	1