Erdogmus, Deniz

20 publications

TMLR 2025 Dependency-Aware Maximum Likelihood Estimation for Active Learning Beyza Kalkanli, Tales Imbiriba, Stratis Ioannidis, Deniz Erdogmus, Jennifer Dy

AAAI 2025 Learning Physics Informed Neural ODEs with Partial Measurements Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba, Alireza Ramezani, Zachary Danziger, Deniz Erdogmus

AAAI 2025 MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems Elifnur Sunger, Yunus Bicer, Deniz Erdogmus, Tales Imbiriba

TMLR 2024 Fast and Expressive Gesture Recognition Using a Combination-Homomorphic Electromyogram Encoder Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters

MIDL 2024 Joint Motion Estimation with Geometric Deformation Correction for Fetal Echo Planar Images via Deep Learning Jian Wang, Razieh Faghihpirayesh, Deniz Erdogmus, Ali Gholipour

ICLR 2024 Learning Semilinear Neural Operators: A Unified Recursive Framework for Prediction and Data Assimilation. Ashutosh Singh, Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba

MLJ 2023 Circular-Symmetric Correlation Layer Bahar Azari, Deniz Erdogmus

AISTATS 2022 Equivariant Deep Dynamical Model for Motion Prediction Bahar Azari, Deniz Erdogmus

AISTATS 2021 Deep Spectral Ranking Ilkay Yildiz, Jennifer Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis

CVPRW 2020 A Generic Unfolding Algorithm for Manifolds Estimated by Local Linear Approximations Jonas Nordhaug Myhre, Matineh Shaker, Mustafa Devrim Kaba, Robert Jenssen, Deniz Erdogmus

AISTATS 2020 Fast and Accurate Ranking Regression Ilkay Yildiz, Jennifer Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis

ICLR 2019 Structured Adversarial Attack: Towards General Implementation and Better Interpretability Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin

ACML 2019 Variational Inference from Ranked Samples with Features Yuan Guo, Jennifer Dy, Deniz Erdoğmuş, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis

IJCAI 2018 Experimental Design Under the Bradley-Terry Model Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis

JMLR 2017 Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning Jamshid Sourati, Murat Akcakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy

JMLR 2011 Locally Defined Principal Curves and Surfaces Umut Ozertem, Deniz Erdogmus

ICML 2008 A Reproducing Kernel Hilbert Space Framework for Pairwise Time Series Distances Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz Erdogmus

NeurIPS 2006 Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm Robert Jenssen, Torbjørn Eltoft, Mark Girolami, Deniz Erdogmus

NeCo 2004 Minimax Mutual Information Approach for Independent Component Analysis Deniz Erdogmus, Kenneth E. Hild Ii, Yadunandana N. Rao, José Carlos Príncipe

NeurIPS 2004 The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space Robert Jenssen, Deniz Erdogmus, Jose Principe, Torbjørn Eltoft