Benjamin Scellier

According to our database¹, Benjamin Scellier authored at least 16 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

A Fast Algorithm to Simulate Nonlinear Resistive Networks.

[BibT_eX]

[DOI]

Benjamin Scellier

CoRR, 2024

2023

A universal approximation theorem for nonlinear resistive networks.

[BibT_eX]

[DOI]

Benjamin Scellier

Siddhartha Mishra

CoRR, 2023

Energy-based learning algorithms for analog computing: a comparative study.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Agnostic Physics-Driven Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2022

2021

A deep learning theory for neural networks grounded in physics.

[BibT_eX]

[DOI]

Benjamin Scellier

CoRR, 2021

2020

Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias.

[BibT_eX]

[DOI]

CoRR, 2020

Training End-to-End Analog Neural Networks with Equilibrium Propagation.

[BibT_eX]

[DOI]

Jack D. Kendall

Ross D. Pantone

Kalpana Manickavasagam

Yoshua Bengio

Benjamin Scellier

CoRR, 2020

Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation.

[BibT_eX]

[DOI]

CoRR, 2020

Equilibrium Propagation with Continual Weight Updates.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Equivalence of Equilibrium Propagation and Recurrent Backpropagation.

[BibT_eX]

[DOI]

Benjamin Scellier

Yoshua Bengio

Neural Comput., 2019

Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Generalization of Equilibrium Propagation to Vector Field Dynamics.

[BibT_eX]

[DOI]

CoRR, 2018

Extending the Framework of Equilibrium Propagation to General Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation.

[BibT_eX]

[DOI]

Benjamin Scellier

Yoshua Bengio

Frontiers Comput. Neurosci., 2017

2016

Towards a Biologically Plausible Backprop.

[BibT_eX]

[DOI]

Benjamin Scellier

Yoshua Bengio

CoRR, 2016

Feedforward Initialization for Fast Inference of Deep Generative Networks is biologically plausible.

[BibT_eX]

[DOI]

CoRR, 2016

Benjamin Scellier

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