St. John

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All published works

Action	Title	Year	Authors
+ PDF Chat	Identifying latent state transition in non-linear dynamical systems	2024	Çağlar Hızlı Çağatay Yıldız Matthias Bethge St. John Pekka Marttinen
+	Queer In AI: A Case Study in Community-Led Participatory AI	2023	Organizers of QueerInAI Anaelia Ovalle Arjun Subramonian Ashwin Singh Claas Voelcker Danica J. Sutherland Davide Locatelli Eva Breznik Filip Klubička Hang Yuan
+	Queer In AI: A Case Study in Community-Led Participatory AI	2023	Organizers Of Queer in AI Anaelia Ovalle Arjun Subramonian Ashwin Singh Claas Voelcker Danica J. Sutherland Davide Locatelli Eva Breznik Filip Klubička Hang Yuan
+	Cost-aware learning of relevant contextual variables within Bayesian optimization	2023	Julien Martinelli Ayush Bharti St. John Armi Tiihonen Sabina J. Sloman Louis Filstroff Samuel Kaski
+	Memory-Based Dual Gaussian Processes for Sequential Learning	2023	Paul E. Chang Prakhar Verma St. John Arno Solin Mohammad Emtiyaz Khan
+	Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models	2023	Rui Li St. John Arno Solin
+	Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions	2023	Çağlar Hızlı St. John Anne Juuti Tuure Saarinen Kirsi H. Pietiläinen Pekka Marttinen
+	Practical Equivariances via Relational Conditional Neural Processes	2023	Daolang Huang Manuel Haußmann Ulpu Remes St. John Grégoire Clarté Kevin Sebastian Luck Samuel Kaski Luigi Acerbi
+	Beyond Intuition, a Framework for Applying GPs to Real-World Data	2023	Kenza Tazi Jihao Andreas Lin Ross Viljoen Alexander Gardner St. John Hong Ge Richard E. Turner
+	Thin and Deep Gaussian Processes	2023	Daniel Augusto de Souza Alexander Nikitin St. John Magnus Ross Mauricio A. Álvarez Marc Peter Deisenroth João P. P. Gomes Diego Mesquita César Mattos
+	Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics	2023	Arina Odnoblyudova Çağlar Hızlı St. John Andrea Cognolato Anne Juuti Simo Särkkä Kirsi H. Pietiläinen Pekka Marttinen
+	Laplace Transforms	2023	Klaus Weltner St. John Wolfgang J. Weber Peter Schuster Jean Grosjean
+	Differential Calculus	2023	Klaus Weltner St. John Wolfgang J. Weber Peter Schuster Jean Grosjean
+	Eigenvalues and Eigenvectors of Real Matrices	2023	Klaus Weltner St. John Wolfgang J. Weber Peter Schuster Jean Grosjean
+	Probability Distributions	2023	Klaus Weltner St. John Wolfgang J. Weber Peter Schuster Jean Grosjean
+	Sets of Linear Equations; Determinants	2023	Klaus Weltner St. John Wolfgang J. Weber Peter Schuster Jean Grosjean
+	Taylor Series and Power Series	2023	Klaus Weltner St. John Wolfgang J. Weber Peter Schuster Jean Grosjean
+	Multiple Integrals; Coordinate Systems	2023	Klaus Weltner St. John Wolfgang J. Weber Peter Schuster Jean Grosjean
+	Applications of Integration	2023	Klaus Weltner St. John Wolfgang J. Weber Peter Schuster Jean Grosjean
+	Complex Numbers	2023	Klaus Weltner St. John Wolfgang J. Weber Peter Schuster Jean Grosjean
+	Functions of Several Variables; Partial Differentiation; and Total Differentiation	2023	Klaus Weltner St. John Wolfgang J. Weber Peter Schuster Jean Grosjean
+	Exponential, Logarithmic and Hyperbolic Functions	2023	Klaus Weltner St. John Wolfgang J. Weber Peter Schuster Jean Grosjean
+	Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes	2022	Çağlar Hızlı St. John Anne Juuti Tuure Saarinen Kirsi H. Pietiläinen Pekka Marttinen
+	Fantasizing with Dual GPs in Bayesian Optimization and Active Learning	2022	Paul E. Chang Prakhar Verma St. John Victor Picheny Henry B. Moss Arno Solin
+	Towards Improved Learning in Gaussian Processes: The Best of Two Worlds	2022	Rui Li St. John Arno Solin
+	Non-separable Spatio-temporal Graph Kernels via SPDEs.	2021	Alexander Nikitin St. John Arno Solin Samuel Kaski
+	GPflux: A Library for Deep Gaussian Processes	2021	Vincent Dutordoir Hugh Salimbeni Eric Hambro John Mcleod Felix Leibfried Artem Artemev Mark van der Wilk James Hensman Marc Peter Deisenroth St. John
+	Non-separable Spatio-temporal Graph Kernels via SPDEs	2021	Alexander Nikitin St. John Arno Solin Samuel Kaski
+	GPflux: A Library for Deep Gaussian Processes	2021	Vincent Dutordoir Hugh Salimbeni Eric Hambro John McLeod Felix Leibfried Artem Artemev Mark van der Wilk James Hensman Marc Peter Deisenroth St. John
+	A Tutorial on Sparse Gaussian Processes and Variational Inference	2020	Felix Leibfried Vincent Dutordoir St. John Nicolas Durrande
+	Amortized variance reduction for doubly stochastic objectives	2020	Ayman Boustati Sattar Vakili James Hensman St. John
+	A Framework for Interdomain and Multioutput Gaussian Processes	2020	Mark van der Wilk Vincent Dutordoir St. John Artem Artemev Vincent Adam James Hensman
+	Amortized variance reduction for doubly stochastic objectives.	2020	Ayman Boustati Sattar Vakili James Hensman St. John
+	A Tutorial on Sparse Gaussian Processes and Variational Inference	2020	Felix Leibfried Vincent Dutordoir St. John Nicolas Durrande
+ PDF Chat	Gaussian process modulated Cox processes under linear inequality constraints	2019	Andrés F. López-Lopera St. John Nicolas Durrande
+	Gaussian Process Modulated Cox Processes under Linear Inequality Constraints	2019	Andrés F. López-Lopera St. John Nicolas Durrande
+	Large-Scale Cox Process Inference using Variational Fourier Features	2018	St. John James Hensman
+	Learning Invariances using the Marginal Likelihood	2018	Mark van der Wilk Matthias Bauer St. John James Hensman
+	Scalable GAM using sparse variational Gaussian processes	2018	Vincent Adam Nicolas Durrande St. John
+	Large-Scale Cox Process Inference using Variational Fourier Features	2018	St. John James Hensman
+ PDF Chat	Many-Body Coarse-Grained Interactions Using Gaussian Approximation Potentials	2017	St. John Gábor Cśanyi
+	Many-Body Coarse-Grained Interactions using Gaussian Approximation Potentials	2016	St. John
+ PDF Chat	Spectroscopic method to measure the superfluid fraction of an ultracold atomic gas	2011	St. John Zoran Hadzibabic Nigel R. Cooper
+	THREE CASE-STUDIES OF THE USE OF AN AUDIO SUPPORT SYSTEM EMBEDDED IN A COMPUTER-BASED COGNITIVE TUTORING SYSTEM AND ITS EFFECTS ON THE MATH WORD PROBLEM SOLVING PERFORMANCE OF STRUGGLING READERS	2008	St. John Eileen Ann
+	A statistical method for global optimization	2003	Dennis D. Cox St. John
+	General geodesic motion in the extended Kerr manifold	1974	St. John H.A. Richard
+	Distribution theory of some classification statistics	1961	St. John
+	A COMPARISON OF THE CEPHALIN FLOCCULATION TEST WITH SOME OTHER TESTS OF LlVER FUNCTION	1945	William M. Nicholson St. John Haywood M. Taylor
+ PDF Chat	University and Educational Intelligence	1927	S. L. Goldstein St. John William Hodge

Common Coauthors

Coauthor	Papers Together
Klaus Weltner	11
Wolfgang J. Weber	11
Jean Grosjean	11
Peter Schuster	11
James Hensman	8
Arno Solin	6
Vincent Dutordoir	5
Nicolas Durrande	5
Marc Peter Deisenroth	5
Felix Leibfried	4
Samuel Kaski	4
Çağlar Hızlı	4
Mark van der Wilk	4
Pekka Marttinen	4
Kirsi H. Pietiläinen	3
Anne Juuti	3
Jaidev Shriram	2
Eva Breznik	2
Emi Baylor	2
Yanan Long	2
Maria Ryskina	2
Raphael Gontijo-Lopes	2
Anaelia Ovalle	2
Nyx McLean	2
Claas Voelcker	2
Nathaniel Dennler	2
Natalia Y. Bilenko	2
Manu Saraswat	2
Filip Klubička	2
Sattar Vakili	2
Martin Mundt	2
Paul E. Chang	2
William S. Agnew	2
María Leonor Pacheco	2
Milind Agarwal	2
Aditya Joshi	2
Raj Korpan	2
Jackie Kay	2
Eric Hambro	2
Sharvani Jha	2
Zeerak Talat	2
Alex Markham	2
Vincent Adam	2
Evyn Dǒng	2
Tanvi Anand	2
Nikhil Vytla	2
Maarten Sap	2
Ruchira Ray	2
Andrew McNamara	2
Alexander Nikitin	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Convolutional Gaussian Processes	2020	Kenneth Blomqvist Samuel Kaski Markus Heinonen	2
+	Space and Space-Time Modeling using Process Convolutions	2002	Dave Higdon	2
+	Gaussian processes for Big data	2013	James Hensman Nicolò Fusi Neil D. Lawrence	2
+	Black Box Variational Inference	2014	Rajesh Ranganath Sean Gerrish David M. Blei	2
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	2
+ PDF Chat	Mastering Atari, Go, chess and shogi by planning with a learned model	2020	Julian Schrittwieser Ioannis Antonoglou Thomas Hubert Karen Simonyan Laurent Sifre Simon Schmitt Arthur Guez Edward Lockhart Demis Hassabis Thore Graepel	2
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	2
+ PDF Chat	Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities	2009	Ryan P. Adams Iain Murray David Mackay	2
+	Spatial and Spatio-Temporal Log-Gaussian Cox Processes: Extending the Geostatistical Paradigm	2013	Peter J. Diggle Paula Moraga Barry Rowlingson Benjamín M. Taylor	2
+ PDF Chat	Many-body physics with ultracold gases	2008	Immanuel Bloch Jean Dalibard W. Zwerger	1
+ PDF Chat	Strong Convergence of Euler-Type Methods for Nonlinear Stochastic Differential Equations	2002	Desmond J. Higham Xuerong Mao Andrew M. Stuart	1
+	Interactions Between Natural Language and Mathematical Structures: The Case of "Wordwalking"	2001	Jean M. Mitchell	1
+ PDF Chat	Measuring the Superfluid Fraction of an Ultracold Atomic Gas	2010	Nigel R. Cooper Zoran Hadzibabic	1
+ PDF Chat	Bayesian Approach to Global Optimization--Theory and Applications.	1991	C. G. E. Boender Audris Mockus	1
+ PDF Chat	<scp>G</scp>aussian approximation potentials: A brief tutorial introduction	2015	Albert P. Bartók Gábor Cśanyi	1
+ PDF Chat	Bayesian Spatial Modelling with<i>R</i>-<b>INLA</b>	2015	Finn Lindgren Håvard Rue	1
+	Communication and Representation as Elements in Mathematical Literacy	2007	Denisse R. Thompson Michaele F. Chappell	1
+	Effects of Mathematical Word Problem Solving by Students At Risk or With Mild Disabilities	1998	Asha K. Jitendra Cynthia C. Griffin Kara McGoey M. Cathleen Gardill Preetha Bhat Tamar Riley	1
+	ANOVA kernels and RKHS of zero mean functions for model-based sensitivity analysis	2012	Nicolas Durrande David Ginsbourger Olivier Roustant Laurent Carraro	1
+	Expectation Propagation for approximate Bayesian inference	2013	Thomas P. Minka	1
+	A general-purpose global optimizer: Implimentation and applications	1984	Luc Pronzato Éric Walter Alain Venot Jean-François Lebruchec	1
+	The simple view of reading	1990	Wesley A. Hoover Philip B. Gough	1
+	Variational Bayesian Inference with Stochastic Search	2012	David M. Blei Michael I. Jordan John Paisley	1
+ PDF Chat	Bose-Einstein Condensate in a Uniform Light-Induced Vector Potential	2009	Yu-Ju Lin R. L. Compton Abigail R. Perry William D. Phillips J. V. Porto I. B. Spielman	1
+	Spectral Graph Theory	1996	Fan Chung	1
+ PDF Chat	On Coarse-Graining by the Inverse Monte Carlo Method: Dissipative Particle Dynamics Simulations Made to a Precise Tool in Soft Matter Modeling	2002	Alexander P. Lyubartsev Mikko Karttunen Ilpo Vattulainen Aatto Laaksonen	1
+ PDF Chat	Measurement of the Angular Momentum of a Rotating Bose-Einstein Condensate	2000	Frédéric Chevy Kirk W. Madison Jean Dalibard	1
+ PDF Chat	On the limited memory BFGS method for large scale optimization	1989	Cheng‐Di Dong Jorge Nocedal	1
+	Algebraic Equations: Can Middle-School Students Meaningfully Translate from Words to Mathematical Symbols?	2006	Mary Margaret Capraro Heather Kyle Joffrion	1
+	Stochastic Methods for Global Optimization	1984	A. H. G. Rinnooy Kan G. T. Timmer	1
+	Mathematics Intervention for Grades 5–11: Teaching Mathematics, Reading, or Both?	2006	Tamara Anthony Carter Emily Ocker Dean	1
+ PDF Chat	An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach	2011	Finn Lindgren Håvard Rue Johan Lindström	1
+	Numerical Computation of Multivariate Normal Probabilities	1992	Alan Genz	1
+ PDF Chat	Adaptive resolution molecular dynamics simulation through coupling to an internal particle reservoir	2012	Sebastian Fritsch Simón Poblete Christoph Junghans Giovanni Ciccotti Luigi Delle Site Kurt Kremer	1
+	Explicitly teaching for transfer: Effects on third-grade students' mathematical problem solving.	2003	Lynn S. Fuchs Douglas Fuchs Karin Prentice Mindy Burch Carol L. Hamlett Rhoda Owen Michelle K. Hosp Deborah Jancek	1
+ PDF Chat	Raman processes and effective gauge potentials	2009	I. B. Spielman	1
+	Widely Convergent Method for Finding Multiple Solutions of Simultaneous Nonlinear Equations	1972	F. H. Branin	1
+ PDF Chat	Networks and epidemic models	2005	Matt J. Keeling Ken Eames	1
+	Generalized Simulated Annealing for Function Optimization	1986	I.O. Bohachevsky M. Johnson Myron L. Stein	1
+ PDF Chat	Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons	2010	Albert P. Bartók M. C. Payne Risi Kondor Gábor Cśanyi	1
+ PDF Chat	Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians	2013	Ari Pakman Liam Paninski	1
+ PDF Chat	Graph based anomaly detection and description: a survey	2014	Leman Akoglu Hanghang Tong Danai Koutra	1
+	Regression Splines in the Cox Model with Application to Covariate Effects in Liver Disease	1990	Lynn A. Sleeper David P. Harrington	1
+	Weibull renewal processes	1994	Nikos Yannaros	1
+ PDF Chat	Many-body interactions and correlations in coarse-grained descriptions of polymer solutions	2001	Peter G. Bolhuis Ard A. Louis J. P. Hansen	1
+	Semi-supervised Learning with Deep Generative Models	2014	Diederik P. Kingma Shakir Mohamed Danilo Jimenez Rezende Max Welling	1
+ PDF Chat	Feshbach resonances in ultracold gases	2010	Cheng Chin Rudolf Grimm Paul S. Julienne Eite Tiesinga	1
+	Bayesian Inference and Data Augmentation Schemes for Spatial, Spatiotemporal and Multivariate Log-Gaussian Cox Processes in<i>R</i>	2015	Benjamín M. Taylor Tilman M. Davies Barry Rowlingson Peter J. Diggle	1
+ PDF Chat	Evidence for a Critical Velocity in a Bose-Einstein Condensed Gas	1999	Chandra Raman Michael Köhl Roberto Onofrio Dallin Durfee Chris Kuklewicz Zoran Hadzibabic Wolfgang Ketterle	1
+ PDF Chat	Observation of Persistent Flow of a Bose-Einstein Condensate in a Toroidal Trap	2007	Changhyun Ryu Mikkel F. Andersen Pierre Cladé Vasant Natarajan Kristian Helmerson William D. Phillips	1