Puja Trivedi

Vivek Sivaraman Narayanaswamy

Rushil Anirudh

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

Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Forward Learning of Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On Estimating Link Prediction Uncertainty Using Stochastic Centering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Leveraging Graph Diffusion Models for Network Refinement Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

PAGER: A Framework for Failure Analysis of Deep Regression Models.

[BibT_eX]

[DOI]

Vivek Sivaraman Narayanaswamy

Rushil Anirudh

CoRR, 2023

A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Closer Look At Scoring Functions And Generalization Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Analyzing Data-Centric Properties for Contrastive Learning on Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety.

[BibT_eX]

[DOI]

CoRR, 2022

Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Analyzing Data-Centric Properties for Graph Contrastive Learning.

[BibT_eX]

[DOI]

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

How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

Leveraging the Graph Structure of Neural Network Training Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Convolutional Neural Network Dynamics: A Graph Perspective.

[BibT_eX]

[DOI]

CoRR, 2021

Rethinking Quadratic Regularizers: Explicit Movement Regularization for Continual Learning.

[BibT_eX]

[DOI]

Ekdeep Singh Lubana