Upcoming Events

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Events Archive

Uniform Error Estimates for the Lanczos Method

Abstract:            The computation of extremal eigenvalues of large, sparse matrices has proven to be one of the most important problems in numerical linear algebra.

Location: https://princeton.zoom.us/j/96788606925
Speaker(s):

A Few Thoughts on Deep Network Approximation

Deep network approximation is a powerful tool of function approximation via composition. We will present a few new thoughts on deep network approximation from the point of view of scientific computing in practice: given an arbitrary width and depth of neural networks, what is the optimal approximation rate of various function...

Location: https://www.oneworldml.org/upcoming-events
Speaker(s):

Data Wrangling: How to Keep Your Data Workflows Orderly and Efficient

This webinar will provide several practical considerations to help you better manage your research data between the points of collection and analysis. We will review the principles of open research and cover best practices for documentation and metadata generation amidst collation, aggregation, and cleaning tasks.

Tags: Seminars

Tradeoffs between Robustness and Accuracy

Standard machine learning produces models that are highly accurate on average but that degrade dramatically when the test distribtion deviates from the training distribution. While one can train robust models, this often comes at the expense of standard accuracy (on the training distribution).

Location: https://www.oneworldml.org/upcoming-events
Speaker(s):

Thematic Day on the Mean Field Training of Deep Neural Networks

12pm: Roberto I. Oliveira – TBA 

1pm: Konstantinos Spiliopoulos  - Mean field limits of neural networks: typical behavior and fluctuations

2pm: Huy Tuan Pham - A general framework for the mean field limit of multilayer neural networks

Location: https://www.oneworldml.org/thematic-days/mean-field-training-of-multi-layer-networks

Managing Research Data

This webinar will go over tips on how to keep track of your data files more efficiently, better organize your data files, and how to manage your data, code and other research materials, to save yourself headaches down the road.

MSML2020 - Mathematical and Scientific Machine Learning Conference

VIRTUAL Conference

The objective of this annual conference series is to promote the study of theory and algorithms of machine learning and applications in scientific and engineering disciplines such as physics, chemistry, material sciences, etc.

On the foundations of computational mathematics, Smale’s 18th problem and the potential limits of AI

There is a profound optimism on the impact of deep learning (DL) and AI in the sciences with Geoffrey Hinton concluding that 'They should stop educating radiologists now'. However, DL has an Achilles heel: it is universally unstable so that small changes in the initial data can lead to large errors in the final result. This has been documented...

Location: https://www.oneworldml.org/home
Speaker(s):
Tags: Seminars

Molecular Simulation with Machine Learning

A two-day virtual workshop covering theory and hands-on tutorials on the software package for molecular simulation with machine learning (ML) tools developed at the Computational Chemical Science Center “Chemistry in Solution and at Interfaces” (http://chemlabs.princeton.edu/ccsc/(...

Molecular Simulation with Machine Learning

A two-day virtual workshop covering theory and hands-on tutorials on the software package for molecular simulation with machine learning (ML) tools developed at the Computational Chemical Science Center “Chemistry in Solution and at Interfaces” (http://chemlabs.princeton.edu/ccsc/(...

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