J. Deasy

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All published works

Action	Title	Year	Authors
+ PDF Chat	Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction	2024	Aleix Lafita Ferran Gonzalez Hernandez Mahmoud Hossam Paul Smyth J. Deasy Ari Allyn-Feuer Daniel D. Seaton Stephen G. Young
+	Generalising sequence models for epigenome predictions with tissue and assay embeddings	2023	J. Deasy Ron Schweßinger Ferran Gonzalez Hernandez Stephen L. Young Kim Branson
+	Heavy-tailed denoising score matching	2021	J. Deasy Nikola Simidjievski Píetro Lió
+	The r-Hunter–Saxton equation, smooth and singular solutions and their approximation	2020	Colin J. Cotter J. Deasy Tristan Pryer
+	Constraining Variational Inference with Geometric Jensen-Shannon Divergence	2020	J. Deasy Nikola Simidjievski Píetro Lió
+	Adaptive Prediction Timing for Electronic Health Records.	2020	J. Deasy Ari Ercole Píetro Lió
+	Constraining Variational Inference with Geometric Jensen-Shannon Divergence	2020	J. Deasy Nikola Simidjievski Píetro Lió
+	Constraining Variational Inference with Geometric Jensen-Shannon Divergence	2020	J. Deasy Nikola Simidjievski Píetro Lió
+	Adaptive Prediction Timing for Electronic Health Records	2020	J. Deasy Ari Ercole Píetro Lió
+	Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing	2019	J. Deasy Píetro Lió Ari Ercole
+	Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning	2019	J. Deasy Ari Ercole Píetro Lió
+	Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing	2019	J. Deasy Píetro Lió Ari Ercole

Common Coauthors

Coauthor	Papers Together
Píetro Lió	9
Ari Ercole	5
Nikola Simidjievski	4
Ferran Gonzalez Hernandez	2
Ari Allyn-Feuer	1
Daniel D. Seaton	1
Ron Schweßinger	1
Colin J. Cotter	1
Stephen G. Young	1
Stephen L. Young	1
Kim Branson	1
Paul Smyth	1
Tristan Pryer	1
Mahmoud Hossam	1
Aleix Lafita	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Scalable and accurate deep learning with electronic health records	2018	Alvin Rajkomar Eyal Oren Kai Chen Andrew M. Dai Nissan Hajaj Michaela Hardt Peter J. Liu Xiaobing Liu Jake Marcus Mimi Sun	3
+ PDF Chat	Recurrent Neural Networks for Multivariate Time Series with Missing Values	2018	Zhengping Che Sanjay Purushotham Kyunghyun Cho David Sontag Yan Liu	3
+	Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing	2019	J. Deasy Píetro Lió Ari Ercole	2
+ PDF Chat	Multitask learning and benchmarking with clinical time series data	2019	Hrayr Harutyunyan Hrant Khachatrian David C. Kale Greg Ver Steeg Aram Galstyan	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	1
+	MADE: Masked Autoencoder for Distribution Estimation	2015	Mathieu Germain Karol Gregor Iain Murray Hugo Larochelle	1
+	Momentum maps and measure-valued solutions (peakons, filaments, and sheets) for the EPDiff equation	2007	Darryl D. Holm Jerrold E. Marsden	1
+ PDF Chat	On the numerical approximation of $$\infty $$ ∞ -harmonic mappings	2016	Nikos Katzourakis Tristan Pryer	1
+	On the finite element approximation of infinity-harmonic functions	2015	Tristan Pryer	1
+ PDF Chat	Homogeneous Sobolev Metric of Order One on Diffeomorphism Groups on Real Line	2014	Martin Bauer Martins Bruveris Peter W. Michor	1
+ PDF Chat	Continuous and Discrete Clebsch Variational Principles	2007	Colin J. Cotter Darryl D. Holm	1
+	On a nonlinear hyperbolic variational equation: I. Global existence of weak solutions	1995	John K. Hunter Yuxi Zheng	1
+	An Introduction to the Bootstrap	1994	Bradley Efron Robert Tibshirani	1
+	The Hunter–Saxton equation describes the geodesic flow on a sphere	2007	Jonatan Lenells	1
+	The Hunter–Saxton Equation: A Geometric Approach	2008	Jonatan Lenells	1
+ PDF Chat	Global Solutions of the Hunter--Saxton Equation	2005	Alberto Bressan Adrian Constantin	1
+ PDF Chat	Clebsch optimal control formulation in mechanics	2011	François Gay‐Balmaz Tudor S. Raţiu	1
+ PDF Chat	Orientation waves in a director field with rotational inertia	2009	Giuseppe Alı̀ John K. Hunter	1
+	Geodesic Shooting for Computational Anatomy	2006	Michael I. Miller Alain Trouvé Laurent Younès	1
+	On a completely integrable nonlinear hyperbolic variational equation	1994	John K. Hunter Yuxi Zheng	1
+	Dynamics of Director Fields	1991	John K. Hunter Ralph Saxton	1
+	On a nonlinear hyperbolic variational equation: II. The zero-viscosity and dispersion limits	1995	John K. Hunter Yuxi Zheng	1
+	Euler equations on homogeneous spaces and Virasoro orbits	2003	Boris Khesin Gerard Misiołek	1
+ PDF Chat	The Camassa–Holm equation as a geodesic flow on the diffeomorphism group	1999	Shinar Kouranbaeva	1
+	Statistical exponential families: A digest with flash cards	2009	Frank Nielsen Vincent Garcia	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
+	The Euler–Poincaré Equations and Semidirect Products with Applications to Continuum Theories	1998	Darryl D. Holm Jerrold E. Marsden Tudor S. Raţiu	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	1
+	Adaptive Computation Time for Recurrent Neural Networks	2016	Alex Graves	1
+	Rényi Divergence Variational Inference	2016	Yingzhen Li Richard E. Turner	1
+	The Breadth of Symplectic and Poisson Geometry	2007	Jerrold E. Marsden Tudor S. Raţiu	1
+	Convex Functions and Their Applications	2018	Constantin P. Niculescu Lars‐Erik Persson	1
+ PDF Chat	On the finite-element approximation of ∞-harmonic functions	2018	Tristan Pryer	1
+ PDF Chat	Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis	2017	Benjamin Shickel Patrick J. Tighe Azra Bihorac Parisa Rashidi	1
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	1
+ PDF Chat	Second-order <i>L</i> <sup>∞</sup> variational problems and the ∞-polylaplacian	2018	Nikos Katzourakis Tristan Pryer	1
+	Understanding disentangling in $β$-VAE	2018	Christopher Burgess Irina Higgins Arka Pal Löıc Matthey Nick Watters Guillaume Desjardins Alexander Lerchner	1
+ PDF Chat	Generalized Bregman and Jensen divergences which include some f-divergences	2018	Tomohiro Nishiyama	1
+	Improving Explorability in Variational Inference with Annealed Variational Objectives	2018	Chin-Wei Huang Shawn Tan Alexandre Lacoste Aaron Courville	1
+ PDF Chat	A Lie symmetry analysis and explicit solutions of the two‐dimensional ∞‐Polylaplacian	2018	Georgios Papamikos Tristan Pryer	1
+	Learning Representations of Missing Data for Predicting Patient Outcomes	2018	Brandon Malone Alberto García-Durán Mathias Niepert	1
+	Diagnosing and Enhancing VAE Models	2019	Bin Dai David Wipf	1
+	Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction	2019	Luchen Liu Haoran Li Zhiting Hu Haoran Shi Zichang Wang Jian Tang Ming Zhang	1
+	Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care	2019	Anna-Lena Popkes Hiske Overweg Ari Ercole Yingzhen Li José Miguel Hernández-Lobato Yordan Zaykov Cheng Zhang	1
+	Weight Uncertainty in Neural Networks	2015	Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra	1
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	1
+	RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism	2016	Edward Choi Mohammad Taha Bahadori Jimeng Sun Joshua A. Kulas Andy Schuetz Walter F. Stewart	1