# Eric Vanden-Eijnden

According to our database

Collaborative distances:

^{1}, Eric Vanden-Eijnden authored at least 28 papers between 2005 and 2020.Collaborative distances:

## Timeline

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## Bibliography

2020

Extreme event probability estimation using PDE-constrained optimization and large deviation theory, with application to tsunamis.

CoRR, 2020

Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions.

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

SIAM/ASA J. Uncertain. Quantification, 2019

CoRR, 2019

Neuron birth-death dynamics accelerates gradient descent and converges asymptotically.

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Neural Networks as Interacting Particle Systems: Asymptotic Convexity of the Loss Landscape and Universal Scaling of the Approximation Error.

CoRR, 2018

Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks.

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Metastability of the Nonlinear Wave Equation: Insights from Transition State Theory.

J. Nonlinear Sci., 2017

2016

J. Comput. Chem., 2016

2014

Multiscale Model. Simul., 2014

Multiscale Model. Simul., 2014

Flows in Complex Networks: Theory, Algorithms, and Application to Lennard-Jones Cluster Rearrangement.

CoRR, 2014

2012

A patch that imparts unconditional stability to explicit integrators for Langevin-like equations.

J. Comput. Phys., 2012

Acta Numer., 2012

2011

Multiscale Model. Simul., 2011

J. Nonlinear Sci., 2011

2010

Multiscale Model. Simul., 2010

Multiscale Model. Simul., 2010

2009

Multiscale Model. Simul., 2009

Data-Based Inference of Generators for Markov Jump Processes Using Convex Optimization.

Multiscale Model. Simul., 2009

J. Comput. Phys., 2009

J. Comput. Chem., 2009

2008

Multiscale Model. Simul., 2008

Multiscale Model. Simul., 2008

2007

Nested stochastic simulation algorithms for chemical kinetic systems with multiple time scales.

J. Comput. Phys., 2007

2006

Fitting timeseries by continuous-time Markov chains: A quadratic programming approach.

J. Comput. Phys., 2006

2005

J. Nonlinear Sci., 2005