Jennifer G. Dy

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 136

Top Venues

Publications

Zulqarnain Khan, Davin Hill, Aria Masoomi, Joshua T. Bone, Jennifer G. Dy
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions. AISTATS (2024)
Davin Hill, Aria Masoomi, Max Torop, Sandesh Ghimire, Jennifer G. Dy
Boundary-Aware Uncertainty for Feature Attribution Explainers. AISTATS (2024)
Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer G. Dy
ADAPT to Robustify Prompt Tuning Vision Transformers. CoRR (2024)
Hongfu Liu, Junxiang Chen, Jennifer G. Dy, Yun Fu
Transforming Complex Problems Into K-Means Solutions. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. ICML (2023)
Sandesh Ghimire, Jinyang Liu, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy
Geometry of Score Based Generative Models. CoRR (2023)
Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer G. Dy
Explanations of Black-Box Models based on Directional Feature Interactions. CoRR (2023)
Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. CoRR (2023)
Fady Bishara, Ayan Paul, Jennifer G. Dy
High-precision regressors for particle physics. CoRR (2023)
Sandesh Ghimire, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy
Divide and Compose with Score Based Generative Models. CoRR (2023)
Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
QueryForm: A Simple Zero-shot Form Entity Query Framework. ACL (Findings) (2023)
Batool Salehi, Utku Demir, Debashri Roy, Suyash Pradhan, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming. CoRR (2023)
Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. NeurIPS (2023)
Andrey Gritsenko, Kimia Shayestehfard, Yuan Guo, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis
Graph transfer learning. Knowl. Inf. Syst. 65 (4) (2023)
Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. CoRR (2023)
Zulqarnain Khan, Aria Masoomi, Davin Hill, Jennifer G. Dy
Analyzing the Effects of Classifier Lipschitzness on Explainers. CoRR (2022)
Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. CoRR (2022)
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning. CoRR (2022)
Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
Pruning Adversarially Robust Neural Networks without Adversarial Examples. CoRR (2022)
Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
QueryForm: A Simple Zero-shot Form Entity Query Framework. CoRR (2022)
Zulqarnain Khan, Yiyu Wang, Eli Sennesh, Jennifer G. Dy, Sarah Ostadabbas, Jan-Willem van de Meent, J. Benjamin Hutchinson, Ajay B. Satpute
A Computational Neural Model for Mapping Degenerate Neural Architectures. Neuroinformatics 20 (4) (2022)
Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
Pruning Adversarially Robust Neural Networks without Adversarial Examples. ICDM (2022)
Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis
Sample complexity of rank regression using pairwise comparisons. Pattern Recognit. 130 (2022)
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. ECCV (26) (2022)
Chieh Tzu Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy
Deep Layer-wise Networks Have Closed-Form Weights. AISTATS (2022)
Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
Spectral Ranking Regression. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy
Deep Bayesian Unsupervised Lifelong Learning. Neural Networks 149 (2022)
Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer G. Dy
Explanations of Black-Box Models based on Directional Feature Interactions. ICLR (2022)
Chieh Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy
Deep Layer-wise Networks Have Closed-Form Weights. CoRR (2022)
Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
SparCL: Sparse Continual Learning on the Edge. NeurIPS (2022)
Tong Jian, Yifan Gong, Zheng Zhan, Runbin Shi, Nasim Soltani, Zifeng Wang, Jennifer G. Dy, Kaushik R. Chowdhury, Yanzhi Wang, Stratis Ioannidis
Radio Frequency Fingerprinting on the Edge. IEEE Trans. Mob. Comput. 21 (11) (2022)
Tooba Imtiaz, Morgan Kohler, Jared Miller, Zifeng Wang, Mario Sznaier, Octavia I. Camps, Jennifer G. Dy
SAIF: Sparse Adversarial and Interpretable Attack Framework. CoRR (2022)
Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
SparCL: Sparse Continual Learning on the Edge. CoRR (2022)
Yumin Liu, Kate Duffy, Jennifer G. Dy, Auroop R. Ganguly
Explainable deep learning for insights in El Nino and river flows. CoRR (2022)
Davin Hill, Aria Masoomi, Sandesh Ghimire, Max Torop, Jennifer G. Dy
Explanation Uncertainty with Decision Boundary Awareness. CoRR (2022)
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
Learning to Prompt for Continual Learning. CVPR (2022)
Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. IEEE Trans. Veh. Technol. 71 (7) (2022)
Sunghoon Ivan Lee, Catherine P. Adans-Dester, Anne T. O'Brien, Gloria P. Vergara-Diaz, Randie Black-Schaffer, Ross Zafonte, Jennifer G. Dy, Paolo Bonato
Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors. IEEE Trans. Biomed. Eng. 68 (6) (2021)
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
Improved prediction of smoking status via isoform-aware RNA-seq deep learning models. PLoS Comput. Biol. 17 (10) (2021)
Max Torop, Sandesh Ghimire, WenQian Liu, Dana H. Brooks, Octavia I. Camps, Milind Rajadhyaksha, Jennifer G. Dy, Kivanç Köse
Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection. CoRR (2021)
Alican Bozkurt, Babak Esmaeili, Jean-Baptiste Tristan, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
Rate-Regularization and Generalization in Variational Autoencoders. AISTATS (2021)
Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
Deep Spectral Ranking. AISTATS (2021)
Setareh Ariafar, Zelda Mariet, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling. AISTATS (2021)
Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. NeurIPS (2021)
Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation. PETRA (2021)
Sandesh Ghimire, Aria Masoomi, Jennifer G. Dy
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space. NeurIPS (2021)
Veysi Yildiz, Jennifer G. Dy, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Stratis Ioannidis, Deniz Erdogmus
Structurally Guided Channel Attention Networks: SGCA-Net. PETRA (2021)
Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. CoRR (2021)
Veysi Yildiz, Stratis Ioannidis, Ilkay Yildiz, Peng Tian, John Peter Campbell, Susan Ostmo, Jayashree Kalpathy-Cramer, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy
Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. ISBI (2021)
Andrey Gritsenko, Yuan Guo, Kimia Shayestehfard, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis
Graph Transfer Learning. ICDM (2021)
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
Learning to Prompt for Continual Learning. CoRR (2021)
Guillem Reus Muns, Batool Salehi, Debashri Roy, Tong Jian, Zifeng Wang, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
Deep Learning on Visual and Location Data for V2I mmWave Beamforming. MSN (2021)
Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net). Medical Image Anal. 67 (2021)
Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis
On the Sample Complexity of Rank Regression from Pairwise Comparisons. CoRR (2021)
Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
Machine Learning on Camera Images for Fast mmWave Beamforming. CoRR (2021)
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy
Deep Bayesian Unsupervised Lifelong Learning. CoRR (2021)
Sandesh Ghimire, Aria Masoomi, Jennifer G. Dy
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space. CoRR (2021)
Eli Sennesh, Zulqarnain Khan, Yiyu Wang, J. Benjamin Hutchinson, Ajay B. Satpute, Jennifer G. Dy, Jan-Willem van de Meent
Neural Topographic Factor Analysis for fMRI Data. NeurIPS (2020)
Yumin Liu, Auroop R. Ganguly, Jennifer G. Dy
Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion. KDD (2020)
Chieh Wu, Zulqarnain Khan, Stratis Ioannidis, Jennifer G. Dy
Deep Kernel Learning for Clustering. SDM (2020)
Tong Jian, Bruno Costa Rendon, Emmanuel Ojuba, Nasim Soltani, Zifeng Wang, Kunal Sankhe, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
Deep Learning for RF Fingerprinting: A Massive Experimental Study. IEEE Internet Things Mag. 3 (1) (2020)
Setareh Ariafar, Zelda Mariet, Ehsan Elhamifar, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling. CoRR (2020)
Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy
Open-World Class Discovery with Kernel Networks. CoRR (2020)
Nasim Soltani, Guillem Reus Muns, Batool Salehi, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms. IEEE Trans. Veh. Technol. 69 (12) (2020)
Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David R. Kaeli
Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth. ICMLA (2020)
Chieh Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy
Kernel Dependence Network. CoRR (2020)
Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
Learn-Prune-Share for Lifelong Learning. CoRR (2020)
Chieh Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy
Layer-wise Learning of Kernel Dependence Networks. CoRR (2020)
Amirreza Farnoosh, Behnaz Rezaei, Eli Zachary Sennesh, Zulqarnain Khan, Jennifer G. Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent, Sarah Ostadabbas
Deep Markov Spatio-Temporal Factorization. CoRR (2020)
Yijun Zhao, Bryan Lackaye, Jennifer G. Dy, Carla E. Brodley
A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions. EDM (2020)
Catherine P. Adans-Dester, Nicolas Hankov, Anne T. O'Brien, Gloria Vergara-Diaz, Randie Black-Schaffer, Ross Zafonte, Jennifer G. Dy, Sunghoon Ivan Lee, Paolo Bonato
Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery. npj Digit. Medicine 3 (2020)
Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha
Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net). CoRR (2020)
Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
Learn-Prune-Share for Lifelong Learning. ICDM (2020)
Amani Al-Shawabka, Francesco Restuccia, Salvatore D'Oro, Tong Jian, Bruno Costa Rendon, Nasim Soltani, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia
Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting. INFOCOM (2020)
Aria Masoomi, Chieh Wu, Tingting Zhao, Zifeng Wang, Peter J. Castaldi, Jennifer G. Dy
Instance-wise Feature Grouping. NeurIPS (2020)
Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
Fast and Accurate Ranking Regression. AISTATS (2020)
Nasim Soltani, Kunal Sankhe, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting. IEEE Commun. Mag. 58 (10) (2020)
Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy
Open-World Class Discovery with Kernel Networks. ICDM (2020)
Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
Machine Learning on Camera Images for Fast mmWave Beamforming. MASS (2020)
Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N. Siddharth, Brooks Paige, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
Structured Disentangled Representations. AISTATS (2019)
Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy
Solving Interpretable Kernel Dimension Reduction. CoRR (2019)
Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy
Solving Interpretable Kernel Dimensionality Reduction. NeurIPS (2019)
Setareh Ariafar, Jaume Coll-Font, Dana H. Brooks, Jennifer G. Dy
ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM. J. Mach. Learn. Res. 20 (2019)
Andrey Gritsenko, Zifeng Wang, Tong Jian, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning. DySPAN (2019)
Eli Sennesh, Zulqarnain Khan, Jennifer G. Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent
Neural Topographic Factor Analysis for fMRI Data. CoRR (2019)
Peng Tian, Yuan Guo, Jayashree Kalpathy-Cramer, Susan Ostmo, John Peter Campbell, Michael F. Chiang, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis
A Severity Score for Retinopathy of Prematurity. KDD (2019)
Kunal Sankhe, Kaushik R. Chowdhury, Francesco Restuccia, Salvatore D'Oro, Tong Jian, Zifeng Wang, Amani Al-Shawabka, Jennifer G. Dy, Tommaso Melodia, Stratis Ioannidis
Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections. MILCOM (2019)
Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
Accelerated Experimental Design for Pairwise Comparisons. CoRR (2019)
Tong Jian, Bruno Costa Rendon, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
MAC ID Spoofing-Resistant Radio Fingerprinting. GlobalSIP (2019)
Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
Accelerated Experimental Design for Pairwise Comparisons. SDM (2019)
Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy
Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion. CoRR (2019)
Jamshid Sourati, Ali Gholipour, Jennifer G. Dy, Xavier Tomas-Fernandez, Sila Kurugol, Simon K. Warfield
Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning. IEEE Trans. Medical Imaging 38 (11) (2019)
Yumin Liu, Junxiang Chen, Auroop R. Ganguly, Jennifer G. Dy
Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction. KDD (2019)
Ilkay Yildiz, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, James M. Brown, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
Classification and comparison via neural networks. Neural Networks 118 (2019)
Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
Evaluating Combinatorial Generalization in Variational Autoencoders. CoRR (2019)
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy
Adaptive Nonparametric Variational Autoencoder. CoRR (2019)
Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy
Iterative Spectral Method for Alternative Clustering. CoRR (2019)
Chieh Wu, Zulqarnain Khan, Yale Chang, Stratis Ioannidis, Jennifer G. Dy
Deep Kernel Learning for Clustering. CoRR (2019)
Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
Variational Inference from Ranked Samples with Features. ACML (2019)
Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jennifer G. Dy