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generative modelling (2) convolutional neural network (2) anomaly detection (2) representation learning (2) interpretable mapping (1) percentexplained metric (1) kernel methods (1) high-frequency component (1) neural network approximator (1) multimodal machine translation (1)

Papers

Field Matching: an Electrostatic Paradigm to Generate and Transfer Data ICML 2025 On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box ICML 2024 Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio AISTATS 2024 Towards Explaining Distribution Shifts ICML 2023 Verifying the Union of Manifolds Hypothesis for Image Data ICLR 2023 High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks CVPR 2020 Adversarial Evaluation of Multimodal Machine Translation EMNLP 2018 Deep Bayesian Active Learning with Image Data ICML 2017 Learning of Non-Parametric Control Policies with High-Dimensional State Features AISTATS 2015 Group Anomaly Detection using Flexible Genre Models NeurIPS 2011