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ORCIDJennifer G. Dy
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- affiliation: Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
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2020 – today
- 2023
[j48]Andrey Gritsenko
, Kimia Shayestehfard, Yuan Guo, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis:
Graph transfer learning. Knowl. Inf. Syst. 65(4): 1627-1656 (2023)- [j47]Hongfu Liu, Junxiang Chen, Jennifer G. Dy, Yun Fu:
Transforming Complex Problems Into K-Means Solutions. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9149-9168 (2023) - [c112]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: 4146-4159 - [c111]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: 36578-36592 - [e2]Francisco J. R. Ruiz, Jennifer G. Dy, Jan-Willem van de Meent:
International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain. Proceedings of Machine Learning Research 206, PMLR 2023 [contents] - [i47]Fady Bishara, Ayan Paul, Jennifer G. Dy:
High-precision regressors for particle physics. CoRR abs/2302.00753 (2023) - [i46]Sandesh Ghimire, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy:
Divide and Compose with Score Based Generative Models. CoRR abs/2302.02272 (2023) - [i45]Sandesh Ghimire, Jinyang Liu, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy:
Geometry of Score Based Generative Models. CoRR abs/2302.04411 (2023) - [i44]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 abs/2304.07670 (2023) - [i43]Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. CoRR abs/2305.00380 (2023) - [i42]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 abs/2305.10350 (2023) - [i41]Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy:
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. CoRR abs/2311.00858 (2023) - 2022
- [j46]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): 965-979 (2022) - [j45]Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy:
Deep Bayesian Unsupervised Lifelong Learning. Neural Networks 149: 95-106 (2022) - [j44]Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
Sample complexity of rank regression using pairwise comparisons. Pattern Recognit. 130: 108688 (2022) - [j43]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): 120:1-120:38 (2022) - [j42]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): 4078-4093 (2022) - [j41]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): 7639-7655 (2022) - [c110]Chieh Tzu Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy:
Deep Layer-wise Networks Have Closed-Form Weights. AISTATS 2022: 188-225 - [c109]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: 139-149 - [c108]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: 631-648 - [c107]Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Pruning Adversarially Robust Neural Networks without Adversarial Examples. ICDM 2022: 993-998 - [c106]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 - [c105]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 - [i40]Yumin Liu, Kate Duffy, Jennifer G. Dy, Auroop R. Ganguly:
Explainable deep learning for insights in El Nino and river flows. CoRR abs/2201.02596 (2022) - [i39]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 abs/2201.04712 (2022) - [i38]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 abs/2204.04799 (2022) - [i37]Zulqarnain Khan, Aria Masoomi, Davin Hill, Jennifer G. Dy:
Analyzing the Effects of Classifier Lipschitzness on Explainers. CoRR abs/2206.12481 (2022) - [i36]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 abs/2209.09476 (2022) - [i35]Davin Hill, Aria Masoomi, Sandesh Ghimire, Max Torop, Jennifer G. Dy:
Explanation Uncertainty with Decision Boundary Awareness. CoRR abs/2210.02419 (2022) - [i34]Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Pruning Adversarially Robust Neural Networks without Adversarial Examples. CoRR abs/2210.04311 (2022) - [i33]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 abs/2211.07730 (2022) - [i32]Tooba Imtiaz, Morgan Kohler, Jared Miller, Zifeng Wang, Mario Sznaier, Octavia I. Camps, Jennifer G. Dy:
SAIF: Sparse Adversarial and Interpretable Attack Framework. CoRR abs/2212.07495 (2022) - 2021
- [j40]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: 101841 (2021) - [j39]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) - [j38]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): 1871-1881 (2021) - [c104]Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Deep Spectral Ranking. AISTATS 2021: 361-369 - [c103]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: 3880-3888 - [c102]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: 3961-3969 - [c101]Andrey Gritsenko, Yuan Guo, Kimia Shayestehfard, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis:
Graph Transfer Learning. ICDM 2021: 141-150 - [c100]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: 353-357 - [c99]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: 559-566 - [c98]Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy:
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. NeurIPS 2021: 586-597 - [c97]Sandesh Ghimire, Aria Masoomi, Jennifer G. Dy:
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space. NeurIPS 2021: 10221-10233 - [c96]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: 33-36 - [c95]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: 93-96 - [i31]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 abs/2102.07337 (2021) - [i30]Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
On the Sample Complexity of Rank Regression from Pairwise Comparisons. CoRR abs/2105.01463 (2021) - [i29]Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy:
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. CoRR abs/2106.02734 (2021) - [i28]Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy:
Deep Bayesian Unsupervised Lifelong Learning. CoRR abs/2106.07035 (2021) - [i27]Sandesh Ghimire, Aria Masoomi, Jennifer G. Dy:
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space. CoRR abs/2109.14688 (2021) - [i26]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 abs/2111.04807 (2021) - [i25]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 abs/2112.08654 (2021) - 2020
- [j37]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): 66-72 (2020) - [j36]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): 50-57 (2020) - [j35]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) - [j34]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): 15518-15531 (2020) - [c94]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: 77-88 - [c93]Yijun Zhao, Bryan Lackaye, Jennifer G. Dy, Carla E. Brodley:
A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions. EDM 2020 - [c92]Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy:
Open-World Class Discovery with Kernel Networks. ICDM 2020: 631-640 - [c91]Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Learn-Prune-Share for Lifelong Learning. ICDM 2020: 641-650 - [c90]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: 759-764 - [c89]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: 646-655 - [c88]Yumin Liu, Auroop R. Ganguly, Jennifer G. Dy:
Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion. KDD 2020: 3145-3153 - [c87]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: 338-346 - [c86]Aria Masoomi, Chieh Wu, Tingting Zhao, Zifeng Wang, Peter J. Castaldi, Jennifer G. Dy:
Instance-wise Feature Grouping. NeurIPS 2020 - [c85]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 - [c84]Chieh Wu, Zulqarnain Khan, Stratis Ioannidis, Jennifer G. Dy:
Deep Kernel Learning for Clustering. SDM 2020: 640-648 - [i24]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 abs/2001.01005 (2020) - [i23]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 abs/2002.09927 (2020) - [i22]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 abs/2003.09779 (2020) - [i21]Chieh Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy:
Layer-wise Learning of Kernel Dependence Networks. CoRR abs/2006.08539 (2020) - [i20]Chieh Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy:
Kernel Dependence Network. CoRR abs/2011.03320 (2020) - [i19]Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Learn-Prune-Share for Lifelong Learning. CoRR abs/2012.06956 (2020) - [i18]Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy:
Open-World Class Discovery with Kernel Networks. CoRR abs/2012.06957 (2020)
2010 – 2019
- 2019
- [j33]Setareh Ariafar, Jaume Coll-Font, Dana H. Brooks, Jennifer G. Dy:
ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM. J. Mach. Learn. Res. 20: 123:1-123:26 (2019) - [j32]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: 65-80 (2019) - [j31]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): 2642-2653 (2019) - [c83]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: 599-614 - [c82]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: 2525-2534 - [c81]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: 1-10 - [c80]Tong Jian, Bruno Costa Rendon, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis:
MAC ID Spoofing-Resistant Radio Fingerprinting. GlobalSIP 2019: 1-5 - [c79]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: 1809-1819 - [c78]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: 2556-2564 - [c77]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: 598-603 - [c76]Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy:
Solving Interpretable Kernel Dimensionality Reduction. NeurIPS 2019: 7913-7923 - [c75]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: 432-440 - [i17]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 abs/1901.06080 (2019) - [i16]Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy:
Adaptive Nonparametric Variational Autoencoder. CoRR abs/1906.03288 (2019) - [i15]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 abs/1906.08901 (2019) - [i14]Chieh Wu, Zulqarnain Khan, Yale Chang, Stratis Ioannidis, Jennifer G. Dy:
Deep Kernel Learning for Clustering. CoRR abs/1908.03515 (2019) - [i13]Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy:
Solving Interpretable Kernel Dimension Reduction. CoRR abs/1909.03093 (2019) - [i12]Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy:
Iterative Spectral Method for Alternative Clustering. CoRR abs/1909.03441 (2019) - [i11]Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy:
Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion. CoRR abs/1909.05097 (2019) - [i10]Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent:
Evaluating Combinatorial Generalization in Variational Autoencoders. CoRR abs/1911.04594 (2019) - 2018
- [j30]Jamshid Sourati, Murat Akçakaya, Deniz Erdogmus, Todd K. Leen, Jennifer G. Dy:
A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 2023-2029 (2018) - [c74]Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy:
Iterative Spectral Method for Alternative Clustering. AISTATS 2018: 115-123 - [c73]Junxiang Chen, Yale Chang, Peter J. Castaldi, Michael H. Cho, Brian Hobbs, Jennifer G. Dy:
Crowdclustering with Partition Labels. AISTATS 2018: 1127-1136 - [c72]Xiangyu Li, Chieh Wu, Shi Dong, Jennifer G. Dy, David R. Kaeli:
Interactive Kernel Dimension Alternative Clustering on GPUs. ASONAM 2018: 885-892 - [c71]Shi Dong, Zlatan Feric, Xiangyu Li, Sheikh Mokhlesur Rahman, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, David R. Kaeli, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh:
A Hybrid Approach to Identifying Key Factors in Environmental Health Studies. IEEE BigData 2018: 2855-2862 - [c70]Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis:
Experimental Design under the Bradley-Terry Model. IJCAI 2018: 2198-2204 - [c69]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. KDD 2018: 2377-2386 - [c68]Jamshid Sourati, Ali Gholipour, Jennifer G. Dy, Sila Kurugol, Simon K. Warfield:
Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation. DLMIA/ML-CDS@MICCAI 2018: 83-91 - [c67]Alican Bozkurt, Kivanç Köse, Christi Alessi-Fox, Melissa Gill, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha:
A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin. MICCAI (2) 2018: 292-299 - [e1]Jennifer G. Dy, Andreas Krause:
Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018. Proceedings of Machine Learning Research 80, PMLR 2018 [contents] - [i9]Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Dana H. Brooks, Jennifer G. Dy, Milind Rajadhyaksha:
A Multiresolution Deep Learning Framework for Automated Annotation of Reflectance Confocal Microscopy Images. CoRR abs/1802.02213 (2018) - [i8]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 abs/1802.04742 (2018) - [i7]Szu-Yeu Hu, Andrew Beers, Ken Chang, Kathi Höbel, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy, Michael F. Chiang, Jayashree Kalpathy-Cramer, James M. Brown:
Deep feature transfer between localization and segmentation tasks. CoRR abs/1811.02539 (2018) - [i6]Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent:
Can VAEs Generate Novel Examples? CoRR abs/1812.09624 (2018) - 2017
- [j29]Jamshid Sourati, Murat Akçakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy:
Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning. J. Mach. Learn. Res. 18: 34:1-34:41 (2017) - [j28]A. Adam Ding, Jennifer G. Dy, Yi Li, Yale Chang:
A Robust-Equitable Measure for Feature Ranking and Selection. J. Mach. Learn. Res. 18: 71:1-71:46 (2017) - [j27]Matineh Shaker, Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix:
Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data. Medical Image Anal. 37: 56-65 (2017) - [j26]Uri Pe'er, Jennifer G. Dy:
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