Papalexakis, Evangelos E.

12 publications

CPAL 2025 A Case Study of Low Ranked Self-Expressive Structures in Neural Network Representations Uday Singh Saini, William Shiao, Yahya Sattar, Yogesh Dahiya, Samet Oymak, Evangelos E. Papalexakis
NeurIPS 2024 Your Diffusion Model Is Secretly a Noise Classifier and Benefits from Contrastive Training Yunshu Wu, Yingtao Luo, Xianghao Kong, Evangelos E. Papalexakis, Greg Ver Steeg
ICLR 2023 Link Prediction with Non-Contrastive Learning William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
NeurIPSW 2022 Identifying Witnesses to Noise Transients in Ground-Based Gravitational-Wave Observations Using Auxiliary Channels with Matrix and Tensor Factorization Techniques Rutuja Gurav, Evangelos E. Papalexakis, Gabriele Vajente, Jonathan Richardson, Barry Barish
ECML-PKDD 2022 MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles A. Kamhoua, Evangelos E. Papalexakis, Fei Fang
ECML-PKDD 2022 Vec2Node: Self-Training with Tensor Augmentation for Text Classification with Few Labels Sara Abdali, Subhabrata Mukherjee, Evangelos E. Papalexakis
ECML-PKDD 2021 Subspace Clustering Based Analysis of Neural Networks Uday Singh Saini, Pravallika Devineni, Evangelos E. Papalexakis
ECML-PKDD 2020 Semi-Supervised Multi-Aspect Detection of Misinformation Using Hierarchical Joint Decomposition Sara Abdali, Neil Shah, Evangelos E. Papalexakis
ECML-PKDD 2019 Exploiting the Earth's Spherical Geometry to Geolocate Images Mike Izbicki, Evangelos E. Papalexakis, Vassilis J. Tsotras
ECML-PKDD 2018 Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition Ravdeep Pasricha, Ekta Gujral, Evangelos E. Papalexakis
CVPRW 2017 Exploration of Social and Web Image Search Results Using Tensor Decomposition Liuqing Yang, Evangelos E. Papalexakis
ECML-PKDD 2012 ParCube: Sparse Parallelizable Tensor Decompositions Evangelos E. Papalexakis, Christos Faloutsos, Nicholas D. Sidiropoulos