Saurabh Johri

According to our database, Saurabh Johri authored at least 13 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Leveraging Directed Causal Discovery to Detect Latent Common Causes in Cause-Effect Pairs.

Ciarán M. Gilligan-Lee, Christopher Hart, Jonathan G. Richens, Saurabh Johri

IEEE Trans. Neural Networks Learn. Syst., April, 2024

2020

A Comparison of Artificial Intelligence and Human Doctors for the Purpose of Triage and Diagnosis.

Adam Baker, Yura Perov, Katherine Middleton, Janie Baxter, Daniel Mullarkey, Davinder Sangar, Mobasher Butt, Arnold DoRosario, Saurabh Johri

Frontiers Artif. Intell., 2020

Applying Artificial Intelligence Methods for the Estimation of Disease Incidence: The Utility of Language Models.

Yuanzhao Zhang, Robert Walecki, Joanne R. Winter, Felix J. S. Bragman, Sara Lourenco, Christopher Hart, Adam Baker, Yura Perov, Saurabh Johri

Frontiers Digit. Health, 2020

Learning medical triage from clinicians using Deep Q-Learning.

Albert Buchard, Baptiste Bouvier, Giulia Prando, Rory Beard, Michail Livieratos, Dan Busbridge, Daniel H. Thompson, Jonathan G. Richens, Yuanzhao Zhang, Adam Baker, Yura Perov, Kostis Gourgoulias, Saurabh Johri

CoRR, 2020

Masking schemes for universal marginalisers.

Divya Gautam, Maria Lomeli, Kostis Gourgoulias, Daniel H. Thompson, Saurabh Johri

CoRR, 2020

2019

Leveraging directed causal discovery to detect latent common causes.

Ciarán M. Lee, Christopher Hart, Jonathan G. Richens, Saurabh Johri

CoRR, 2019

Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs.

Robert Walecki, Kostis Gourgoulias, Adam Baker, Chris Hart, Chris Lucas, Max Zwiessele, Albert Buchard, Maria Lomeli, Yura Perov, Saurabh Johri

CoRR, 2019

Counterfactual diagnosis.

Jonathan G. Richens, Ciarán M. Lee, Saurabh Johri

CoRR, 2019

MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming.

Yura Perov, Logan Graham, Kostis Gourgoulias, Jonathan G. Richens, Ciarán M. Lee, Adam Baker, Saurabh Johri

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018

Universal Marginalizer for Amortised Inference and Embedding of Generative Models.

Robert Walecki, Albert Buchard, Kostis Gourgoulias, Chris Hart, Maria Lomeli, Alexandre K. W. Navarro, Max Zwiessele, Yura Perov, Saurabh Johri

CoRR, 2018

A comparative study of artificial intelligence and human doctors for the purpose of triage and diagnosis.

Salman Razzaki, Adam Baker, Yura Perov, Katherine Middleton, Janie Baxter, Daniel Mullarkey, Davinder Sangar, Michael Taliercio, Mobasher Butt, Azeem Majeed, Arnold DoRosario, Megan Mahoney, Saurabh Johri

CoRR, 2018

2017

A Universal Marginalizer for Amortized Inference in Generative Models.

Laura Douglas, Iliyan Zarov, Konstantinos Gourgoulias, Chris Lucas, Chris Hart, Adam Baker, Maneesh Sahani, Yura Perov, Saurabh Johri

CoRR, 2017

2006

SEAN: SNP prediction and display program utilizing EST sequence clusters.

Derek Huntley, Angela Baldo, Saurabh Johri, Marek J. Sergot

Bioinform., 2006