Joshua Robinson

Affiliations:

Massachusetts Institute of Technology, Cambridge, MA, USA

According to our database¹, Joshua Robinson authored at least 18 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2024

RelBench: A Benchmark for Deep Learning on Relational Databases.

[BibT_eX]

[DOI]

CoRR, 2024

Position: Relational Deep Learning - Graph Representation Learning on Relational Databases.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Stability of Expressive Positional Encodings for Graphs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Modeling the Geometry of Neural Network Representation Spaces

[BibT_eX]

[DOI]

Joshua Robinson

PhD thesis, 2023

Relational Deep Learning: Graph Representation Learning on Relational Databases.

[BibT_eX]

[DOI]

CoRR, 2023

On the Stability of Expressive Positional Encodings for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Expressive Sign Equivariant Networks for Spectral Geometric Learning.

[BibT_eX]

[DOI]

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

The Second Learning on Graphs Conference: Preface.

[BibT_eX]

[DOI]

Soledad Villar

Benjamin Paul Chamberlain

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Sign and Basis Invariant Networks for Spectral Graph Representation Learning.

[BibT_eX]

[DOI]

Derek Lim

Joshua David Robinson

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations.

[BibT_eX]

[DOI]

CoRR, 2022

Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The First Learning on Graphs Conference: Preface.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

2021

Can contrastive learning avoid shortcut solutions?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive Learning with Hard Negative Samples.

[BibT_eX]

[DOI]

Joshua David Robinson

Ching-Yao Chuang

Suvrit Sra

Stefanie Jegelka

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Debiased Contrastive Learning.

[BibT_eX]

[DOI]

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

Strength from Weakness: Fast Learning Using Weak Supervision.

[BibT_eX]

[DOI]

Joshua Robinson

Stefanie Jegelka

Suvrit Sra

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Flexible Modeling of Diversity with Strongly Log-Concave Distributions.

[BibT_eX]

[DOI]

Joshua Robinson

Suvrit Sra

Stefanie Jegelka

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

Joshua Robinson

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