Instance-wise Feature Grouping
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conferences
Reliable estimation of KL divergence using a discriminator in reproducing kernel Hilbert space
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publications
Deep learning methods for predicting disease status using genomic data
Published in Journal of biometrics & biostatistics, 2018
Deep learning prediction of COPD progression using enriched densitometry phenotypes
Published in B101. Advances in COPD Pathogenesis, 2019
Instance-wise Feature Grouping
Published in Neural Information Processing Systems (NeurIPS), 2020
Blood transcriptomics-based machine learning prediction of emphysema in smokers
Published in CHEST Journal, 2021
Improved prediction of smoking status via isoform-aware RNA-seq deep learning models
Published in PLOS Computational Biology, 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
Published in Neural Information Processing Systems (NeurIPS), 2021
Reliable estimation of KL divergence using a discriminator in reproducing kernel Hilbert space
Published in Neural Information Processing Systems (NeurIPS), 2021
Deep Bayesian Unsupervised Lifelong Learning
Published in Neural Networks, 2022
Explanations of black-box models based on directional feature interactions
Published in International Conference on Learning Representation (ICLR), 2022
Deep Layer-wise Networks Have Closed-Form Weights
Published in Artificial Intelligence and Statistics (AISTATS), 2022
Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
SmoothHess: ReLU Network Feature Interactions via Stein’s Lemma
Published in Neural Information Processing Systems (NeurIPS), 2023
M2M-InvNet: Human Motor Cortex Mapping From Multi-Muscle Response Using TMS and Generative 3D Convolutional Network
Published in IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024
Blood-based transcriptomic and proteomic biomarkers of emphysema
Published in American Journal of Respiratory and Critical Care Medicine, 2024
Boundary-Aware Uncertainty for Feature Attribution Explainers
Published in Artificial Intelligence and Statistics (AISTATS), 2024
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions
Published in Artificial Intelligence and Statistics (AISTATS), 2024
Making Deep Neural Networks Transparent
Published in Dissertation, 2024
Poisson Geometry of Flag Varieties and Representation Theory of Their Quantum Deformations
Published in Dissertation, 2025
The Poisson degeneracy locus of a flag variety
Published in Mathematische Zeitschrift, 2025
OrdShap: Feature Position Importance for Sequential Black-Box Models
Published in Neural Information Processing Systems (NeurIPS), 2025
DISCO: Disentangled Communication Steering for Large Language Models
Published in Neural Information Processing Systems (NeurIPS), 2025
talks
Talk on From Prediction to Subtypes
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