 Conditional Deep Canonical Time WarpingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 |
 Operator SVD with Neural Networks via Nested Low-Rank ApproximationInternational Conference on Machine Learning (ICML), 2024 |
 Maximally Machine-Learnable PortfoliosSocial Science Research Network (SSRN), 2023 |
 Self-Supervised Speech Representation Learning: A ReviewIEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022 |
 Dynamically-Scaled Deep Canonical Correlation AnalysisPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022 Tomer Friedlander Lior Wolf |
 Spatiotemporal Analysis Using Riemannian Composition of Diffusion
OperatorsApplied and Computational Harmonic Analysis (ACHA), 2022 |
 Discovery of Single Independent Latent VariableNeural Information Processing Systems (NeurIPS), 2021 |
 Spectral Discovery of Jointly Smooth Features for Multimodal DataSIAM Journal on Mathematics of Data Science (SIMODS), 2020 |
 Kernelized Multiview Subspace Analysis by Self-weighted LearningIEEE transactions on multimedia (IEEE TMM), 2019 |
 ORCCA: Optimal Randomized Canonical Correlation AnalysisIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 |
 On the spectral property of kernel-based sensor fusion algorithms of
high dimensional dataIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019 |
 Task-Driven Common Representation Learning via Bridge Neural NetworkAAAI Conference on Artificial Intelligence (AAAI), 2019 |
 The Incomplete Rosetta Stone Problem: Identifiability Results for
Multi-View Nonlinear ICAConference on Uncertainty in Artificial Intelligence (UAI), 2019 |
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 Multi-View Kernels for Low-Dimensional Modeling of Seismic EventsIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2017 |
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 Linking Image and Text with 2-Way NetsComputer Vision and Pattern Recognition (CVPR), 2016 Aviv Eisenschtat Lior Wolf |
