Marius Kloft
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
44
Venues
18
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
44 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | TORA: Train Once, Realign Anytime for Offline Multi-Objective Reinforcement Learning. | Weichen Li, Waleed Mustafa, Marcio Monteiro, Puyu Wang, Marius Kloft, Sophie Fellenz |
| 2026 | AAAI | Reimagining Anomalies: What If Anomalies Were Normal? | Philipp Liznerski, Saurabh Varshneya, Ece Calikus, Puyu Wang, Alexander Bartscher, Sebastian Josef Vollmer, Sophie Fellenz, Marius Kloft |
| 2026 | EACL | Continual Neural Topic Model. | Charu Karakkaparambil James, Waleed Mustafa, Marcio Monteiro, Marius Kloft, Sophie Fellenz |
| 2025 | DSAA | Optimal Utility Bounds for Differentially Private Gradient Descent in Three-Layer Neural Networks. | Puyu Wang, Yunwen Lei, Marius Kloft, Yiming Ying |
| 2024 | ACL | Evaluating Dynamic Topic Models. | Charu James, Mayank Nagda, Nooshin Haji Ghassemi, Marius Kloft, Sophie Fellenz |
| 2024 | AISTATS | Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks. | Waleed Mustafa, Philipp Liznerski, Antoine Ledent, Dennis Wagner, Puyu Wang, Marius Kloft |
| 2024 | COLING | Text Style Transfer Evaluation Using Large Language Models. | Phil Sidney Ostheimer, Mayank Kumar Nagda, Marius Kloft, Sophie Fellenz |
| 2024 | EMNLP | Characterizing Text Datasets with Psycholinguistic Features. | Marcio Monteiro, Charu Karakkaparambil James, Marius Kloft, Sophie Fellenz |
| 2024 | IJCAI | Interpretable Tensor Fusion. | Saurabh Varshneya, Antoine Ledent, Philipp Liznerski, Andriy Balinskyy, Purvanshi Mehta, Waleed Mustafa, Marius Kloft |
| 2024 | WWW | Unraveling the Dynamics of Stable and Curious Audiences in Web Systems. | Rodrigo Alves, Antoine Ledent, Renato Assuno, Pedro O. S. Vaz de Melo, Marius Kloft |
| 2023 | AAAI | Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings. | Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft |
| 2023 | ACL | A Call for Standardization and Validation of Text Style Transfer Evaluation. | Phil Ostheimer, Mayank Kumar Nagda, Marius Kloft, Sophie Fellenz |
| 2023 | ICML | Training Normalizing Flows from Dependent Data. | Matthias Kirchler, Christoph Lippert, Marius Kloft |
| 2023 | ICML | Deep Anomaly Detection under Labeling Budget Constraints. | Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Stephan Mandt, Maja Rudolph |
| 2022 | ICML | On the Generalization Analysis of Adversarial Learning. | Waleed Mustafa, Yunwen Lei, Marius Kloft |
| 2022 | ICML | Latent Outlier Exposure for Anomaly Detection with Contaminated Data. | Chen Qiu, Aodong Li, Marius Kloft, Maja Rudolph, Stephan Mandt |
| 2022 | IJCAI | Raising the Bar in Graph-level Anomaly Detection. | Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph |
| 2021 | AAAI | Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks. | Antoine Ledent, Waleed Mustafa, Yunwen Lei, Marius Kloft |
| 2021 | AAAI | Fine-grained Generalization Analysis of Vector-Valued Learning. | Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft |
| 2021 | AAAI | Model Uncertainty Guides Visual Object Tracking. | Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft |
| 2021 | ICLR | Explainable Deep One-Class Classification. | Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Mller |
| 2021 | ICML | Neural Transformation Learning for Deep Anomaly Detection Beyond Images. | Chen Qiu, Timo Pfrommer, Marius Kloft, Stephan Mandt, Maja Rudolph |
| 2021 | IJCAI | Fine-grained Generalization Analysis of Structured Output Prediction. | Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft |
| 2021 | IJCAI | Learning Interpretable Concept Groups in CNNs. | Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft |
| 2021 | RecSys | Burst-induced Multi-Armed Bandit for Learning Recommendation. | Rodrigo Alves, Antoine Ledent, Marius Kloft |
| 2020 | AISTATS | Two-sample Testing Using Deep Learning. | Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert |
| 2020 | ICLR | Deep Semi-Supervised Anomaly Detection. | Lukas Ruff, Robert A. Vandermeulen, Nico Grnitz, Alexander Binder, Emmanuel Mller, Klaus-Robert Mller, Marius Kloft |
| 2020 | IJCNN | Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. | Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder |
| 2019 | AAAI | Efficient Gaussian Process Classification Using Plya-Gamma Data Augmentation. | Florian Wenzel, Tho Galy-Fajou, Christian Donner, Marius Kloft, Manfred Opper |
| 2019 | ACL | Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text. | Lukas Ruff, Yury Zemlyanskiy, Robert A. Vandermeulen, Thomas Schnake, Marius Kloft |
| 2018 | AISTATS | Scalable Generalized Dynamic Topic Models. | Patrick Jhnichen, Florian Wenzel, Marius Kloft, Stephan Mandt |
| 2018 | ICML | Deep One-Class Classification. | Lukas Ruff, Nico Grnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Mller, Marius Kloft |
| 2018 | WWW | Distributed Optimization of All-in-one SVMs for Extreme Classfication. | Marius Kloft |
| 2016 | ACML | Localized Multiple Kernel Learning - A Convex Approach. | Yunwen Lei, Alexander Binder, rn Dogan, Marius Kloft |
| 2016 | CCS | Tracked Without a Trace: Linking Sessions of Users by Unsupervised Learning of Patterns in Their DNS Traffic. | Matthias Kirchler, Dominik Herrmann, Jens Lindemann, Marius Kloft |
| 2016 | PST | Behavior-based tracking of Internet users with semi-supervised learning. | Dominik Herrmann, Matthias Kirchler, Jens Lindemann, Marius Kloft |
| 2016 | UAI | Separating Sparse Signals from Correlated Noise in Binary Classification. | Stephan Mandt, Florian Wenzel, Shinichi Nakajima, Christoph Lippert, Marius Kloft |
| 2015 | ICML | Hidden Markov Anomaly Detection. | Nico Grnitz, Mikio L. Braun, Marius Kloft |
| 2014 | AISTATS | Learning and Evaluation in Presence of Non-i.i.d. Label Noise. | Nico Grnitz, Anne Porbadnigk, Alexander Binder, Claudia Sannelli, Mikio L. Braun, Klaus-Robert Mller, Marius Kloft |
| 2014 | COLT | Localized Complexities for Transductive Learning. | Ilya O. Tolstikhin, Gilles Blanchard, Marius Kloft |
| 2012 | CCS | Early detection of malicious behavior in JavaScript code. | Kristof Schtt, Marius Kloft, Alexander Bikadorov, Konrad Rieck |
| 2009 | CCS | Active learning for network intrusion detection. | Nico Grnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld |
| 2009 | CCS | A framework for quantitative security analysis of machine learning. | Pavel Laskov, Marius Kloft |
| 2008 | CCS | Automatic feature selection for anomaly detection. | Marius Kloft, Ulf Brefeld, Patrick Dssel, Christian Gehl, Pavel Laskov |