Daniel A. Roberts

According to our database, Daniel A. Roberts authored at least 12 papers between 2012 and 2024.

Collaborative distances:

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

2024

The Unreasonable Ineffectiveness of the Deeper Layers.

Andrey Gromov, Kushal Tirumala, Hassan Shapourian, Paolo Glorioso, Daniel A. Roberts

CoRR, 2024

2023

Feature Learning and Generalization in Deep Networks with Orthogonal Weights.

Hannah Day, Yonatan Kahn, Daniel A. Roberts

CoRR, 2023

2022

A Solvable Model of Neural Scaling Laws.

Alexander Maloney, Daniel A. Roberts, James Sully

CoRR, 2022

2021

The Principles of Deep Learning Theory.

Daniel A. Roberts, Sho Yaida, Boris Hanin

CoRR, 2021

SGD Implicitly Regularizes Generalization Error.

Daniel A. Roberts

CoRR, 2021

Why is AI hard and Physics simple?

Daniel A. Roberts

CoRR, 2021

Topological Obstructions to Autoencoding.

Joshua Batson, C. Grace Haaf, Yonatan Kahn, Daniel A. Roberts

CoRR, 2021

2019

Robust Learning with Jacobian Regularization.

Judy Hoffman, Daniel A. Roberts, Sho Yaida

CoRR, 2019

2018

Gradient Descent Happens in a Tiny Subspace.

Guy Gur-Ari, Daniel A. Roberts, Ethan Dyer

CoRR, 2018

2014

Evaluating Stream Filtering for Entity Profile Updates in TREC 2012, 2013, and 2014.

John R. Frank, Max Kleiman-Weiner, Daniel A. Roberts, Ellen M. Voorhees, Ian Soboroff

Proceedings of The Twenty-Third Text REtrieval Conference, 2014

2013

Evaluating Stream Filtering for Entity Profile Updates for TREC 2013.

John R. Frank, Steven J. Bauer, Max Kleiman-Weiner, Daniel A. Roberts, Nilesh Tripuraneni, Ce Zhang, Christopher Ré, Ellen M. Voorhees, Ian Soboroff

Proceedings of The Twenty-Second Text REtrieval Conference, 2013

2012

Building an Entity-Centric Stream Filtering Test Collection for TREC 2012.

John R. Frank, Max Kleiman-Weiner, Daniel A. Roberts, Feng Niu, Ce Zhang, Christopher Ré, Ian Soboroff

Proceedings of The Twenty-First Text REtrieval Conference, 2012