Marius Kloft

Continual Neural Topic Model EACL 2026 Reimagining Anomalies: What If Anomalies Were Normal? AAAI 2026 TORA: Train Once, Realign Anytime for Offline Multi-Objective Reinforcement Learning AAAI 2026 Challenging Assumptions in Learning Generic Text Style Embeddings NAACL 2025 Characterizing Text Datasets with Psycholinguistic Features EMNLP 2024 Evaluating Dynamic Topic Models ACL 2024 Interpretable Tensor Fusion IJCAI 2024 Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024 Text Style Transfer Evaluation Using Large Language Models COLING 2024 A Call for Standardization and Validation of Text Style Transfer Evaluation ACL 2023 Deep Anomaly Detection under Labeling Budget Constraints ICML 2023 Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings AAAI 2023 Labeling Neural Representations with Inverse Recognition NeurIPS 2023 Training Normalizing Flows from Dependent Data ICML 2023 Zero-Shot Anomaly Detection via Batch Normalization NeurIPS 2023 Latent Outlier Exposure for Anomaly Detection with Contaminated Data ICML 2022 On the Generalization Analysis of Adversarial Learning ICML 2022 Raising the Bar in Graph-level Anomaly Detection IJCAI 2022 Explainable Deep One-Class Classification ICLR 2021 Fine-grained Generalization Analysis of Inductive Matrix Completion NeurIPS 2021 Fine-grained Generalization Analysis of Structured Output Prediction IJCAI 2021 Fine-grained Generalization Analysis of Vector-Valued Learning AAAI 2021 Learning Interpretable Concept Groups in CNNs IJCAI 2021 Model Uncertainty Guides Visual Object Tracking AAAI 2021 Neural Transformation Learning for Deep Anomaly Detection Beyond Images ICML 2021 Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks AAAI 2021 Deep Semi-Supervised Anomaly Detection ICLR 2020 Sharper Generalization Bounds for Pairwise Learning NeurIPS 2020 Two-sample Testing Using Deep Learning AISTATS 2020 Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network NeurIPS 2019 Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation AAAI 2019 Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text ACL 2019 Deep One-Class Classification ICML 2018 Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning JMLR 2018 Scalable Generalized Dynamic Topic Models AISTATS 2018 Localized Multiple Kernel Learning—A Convex Approach ACML 2016 Hidden Markov Anomaly Detection ICML 2015 Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms NeurIPS 2015 Learning and Evaluation in Presence of Non-i.i.d. Label Noise AISTATS 2014 Localized Complexities for Transductive Learning COLT 2014 Learning Kernels Using Local Rademacher Complexity NeurIPS 2013 On the Convergence Rate of -Norm Multiple Kernel Learning JMLR 2012 Security Analysis of Online Centroid Anomaly Detection JMLR 2012 -Norm Multiple Kernel Learning JMLR 2011 The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning NeurIPS 2011 Online Anomaly Detection under Adversarial Impact AISTATS 2010 Efficient and Accurate Lp-Norm Multiple Kernel Learning NeurIPS 2009