Aria Masoomi

According to our database, Aria Masoomi authored at least 17 papers between 2019 and 2023.

Collaborative distances:

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

2023

Geometry of Score Based Generative Models.

Sandesh Ghimire, Jinyang Liu, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy

CoRR, 2023

Divide and Compose with Score Based Generative Models.

Sandesh Ghimire, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy

CoRR, 2023

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

Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy

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.

Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Deep Bayesian Unsupervised Lifelong Learning.

Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy

Neural Networks, 2022

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

Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus

CoRR, 2022

Explanation Uncertainty with Decision Boundary Awareness.

Davin Hill, Aria Masoomi, Sandesh Ghimire, Max Torop, Jennifer G. Dy

CoRR, 2022

Analyzing the Effects of Classifier Lipschitzness on Explainers.

Zulqarnain Khan, Aria Masoomi, Davin Hill, Jennifer G. Dy

CoRR, 2022

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

Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer G. Dy

Proceedings of the Tenth International Conference on Learning Representations, 2022

Deep Layer-wise Networks Have Closed-Form Weights.

Chieh Tzu Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy

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.

Zifeng Wang, Aria Masoomi, Zhonghui Xu, Adel Boueiz, Sool Lee, Tingting Zhao, Russell Bowler, Michael H. Cho, Edwin K. Silverman, Craig P. Hersh, Jennifer G. Dy, Peter J. Castaldi

PLoS Comput. Biol., 2021

Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness.

Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy

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.

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.

Chieh Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy

CoRR, 2020

Layer-wise Learning of Kernel Dependence Networks.

Chieh Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy

CoRR, 2020

Instance-wise Feature Grouping.

Aria Masoomi, Chieh Wu, Tingting Zhao, Zifeng Wang, Peter J. Castaldi, Jennifer G. Dy

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

2019

Adaptive Nonparametric Variational Autoencoder.

Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy

CoRR, 2019