KIPAC Stats & ML Journal Club

Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

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Location

SLAC, Kavli 3rd Floor Conf. Room

Speaker
Alex Madurowicz

Join us Friday October 4th at 3pm in the SLAC 3rd Floor Conference Room ( and on zoom) for the Stats & ML Journal Club. I understand there were some issues with zoom last week, but we'll make sure its back to normal this week.

 

Hamiltonian Neural Networks

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Location

SLAC, Kavli 3rd Floor Conf. Room

Speaker
Sean McLaughlin

Join us Friday, Sept 27th for the first KIPAC Stats & ML Journal Club of the quarter! By the vote in the survey sent out last week, the optimal time was Friday afternoons at SLAC. So we will meet at 3pm in the upstairs conference room at SLAC (and on zoom here). 

 

Training Recurrent Neural Networks

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Location

SLAC, Kavli 3rd Floor Conf. Room

Speaker
Justin Myles

Join us Friday, June 7th at 9:30 am on the Kavli third floor at SLAC (and on zoom!) for the last KIPAC Stats & ML Journal Club of the quarter. Justin Myles will be leading a discussion on training Recurrent Neural Networks. Find a link to the paper and his abstract below. 

Professor Forcing: A New Algorithm for Training Recurrent Networks
(https://arxiv.org/abs/1610.09038

Adversarial attacks against neural networks and their surprisingly deep implications

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Location

SLAC, Kavli 3rd Floor Conf. Room

Speaker
Sean McLaughlin

Join us tomorrow, May 31st at 9:30 am on the Kavli third floor at SLAC (and on zoom <https://stanford.zoom.us/j/2038764923> !) for the KIPAC Stats & ML Journal Club. I will be leading a discussion on a series of papers I've been working off of the last few weeks on adversarial attacks against neural networks and their surprisingly deep implications.

Exact Gaussian Processes on a Million Data Points

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Location

SLAC, Kavli 3rd Floor Conf. Room 

Speaker
Greg Green

Join us Friday, May 10th for the latest KIPAC Stats & ML Journal Club. We'll meet at 9:30 am on the Kavli Third floor and on Zoom <https://stanford.zoom.us/j/2038764923> . This week, Greg Green will be leading a discussion on a new approximate method for Gaussian Processes.

 

A Unified Approach to Interpreting Model Predictions

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Location

SLAC, Kavli 3rd Floor Conf. Room

Speaker
Sowmya Kamath

Join us Friday April 19th for the latest edition of the KIPAC Stats & ML Journal Club. We'll meet at 9:30 on the Kavli Building at SLAC (or on Zoom). This week's discussion will be led by Sowmya Kamath, and the subject will be the SHAP framework, a generic framework for model interpretation. Please see the link and abstract below.

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