Aria Masoomi

According to our database¹, Aria Masoomi authored at least 20 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Axiomatic Explainer Globalness via Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2024

Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Boundary-Aware Uncertainty for Feature Attribution Explainers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Geometry of Score Based Generative Models.

[BibT_eX]

[DOI]

Sandesh Ghimire

Jinyang Liu

Armand Comas Massague

CoRR, 2023

Divide and Compose with Score Based Generative Models.

[BibT_eX]

[DOI]

Sandesh Ghimire

Armand Comas Massague

CoRR, 2023

SmoothHess: ReLU Network Feature Interactions via Stein's Lemma.

[BibT_eX]

[DOI]

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

Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data.

[BibT_eX]

[DOI]

Erik G. Learned-Miller

Deniz Erdogmus

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Deep Bayesian Unsupervised Lifelong Learning.

[BibT_eX]

[DOI]

Neural Networks, 2022

Inv-SENnet: Invariant Self Expression Network for clustering under biased data.

[BibT_eX]

[DOI]

Erik G. Learned-Miller

Deniz Erdogmus

CoRR, 2022

Explanation Uncertainty with Decision Boundary Awareness.

[BibT_eX]

[DOI]

CoRR, 2022

Analyzing the Effects of Classifier Lipschitzness on Explainers.

[BibT_eX]

[DOI]

CoRR, 2022

Explanations of Black-Box Models based on Directional Feature Interactions.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Deep Layer-wise Networks Have Closed-Form Weights.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2021

Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness.

[BibT_eX]

[DOI]

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

Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space.

[BibT_eX]

[DOI]

Sandesh Ghimire

Aria Masoomi

Jennifer G. Dy

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

2020

Kernel Dependence Network.

[BibT_eX]

[DOI]

CoRR, 2020

Layer-wise Learning of Kernel Dependence Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Instance-wise Feature Grouping.

[BibT_eX]

[DOI]

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

2019

Adaptive Nonparametric Variational Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2019

Aria Masoomi

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