Marius Kloft

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 107

Top Venues

Berlin Institute of Technology (PHD)

Education History

Berlin Institute of Technology

PHD

Publications

Ramon Lopes, Rodrigo Alves, Antoine Ledent, Rodrygo L. T. Santos, Marius Kloft
Recommendations with minimum exposure guarantees: A post-processing framework. Expert Syst. Appl. 236 (2024)
Philipp Liznerski, Saurabh Varshneya, Ece Calikus, Sophie Fellenz, Marius Kloft
Reimagining Anomalies: What If Anomalies Were Normal? CoRR (2024)
Aodong Li, Yunhan Zhao, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt
Anomaly Detection of Tabular Data Using LLMs. CoRR (2024)
Charu James, Mayank Nagda, Nooshin Haji Ghassemi, Marius Kloft, Sophie Fellenz
Evaluating Dynamic Topic Models. ACL (1) (2024)
Florian Dietz, Sophie Fellenz, Dietrich Klakow, Marius Kloft
Comgra: A Tool for Analyzing and Debugging Neural Networks. CoRR (2024)
Waleed Mustafa, Philipp Liznerski, Antoine Ledent, Dennis Wagner, Puyu Wang, Marius Kloft
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks. AISTATS (2024)
Rodrigo Alves, Antoine Ledent, Renato Assunção, Pedro O. S. Vaz de Melo, Marius Kloft
Unraveling the Dynamics of Stable and Curious Audiences in Web Systems. WWW (2024)
Jonas Dippel, Niklas Prenißl, Julius Hense, Philipp Liznerski, Tobias Winterhoff, Simon Schallenberg, Marius Kloft, Oliver Buchstab, David Horst, Maximilian Alber, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics. CoRR (2024)
Phil Sidney Ostheimer, Mayank Kumar Nagda, Marius Kloft, Sophie Fellenz
Text Style Transfer Evaluation Using Large Language Models. LREC/COLING (2024)
Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
On the Challenges and Opportunities in Generative AI. CoRR (2024)
Saurabh Varshneya, Antoine Ledent, Philipp Liznerski, Andriy Balinskyy, Purvanshi Mehta, Waleed Mustafa, Marius Kloft
Interpretable Tensor Fusion. CoRR (2024)
Billy Joe Franks, Markus Anders, Marius Kloft, Pascal Schweitzer
A Systematic Approach to Universal Random Features in Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023)
Charu James, Mayank Nagda, Nooshin Haji Ghassemi, Marius Kloft, Sophie Fellenz
Evaluating Dynamic Topic Models. CoRR (2023)
Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt
Zero-Shot Anomaly Detection via Batch Normalization. NeurIPS (2023)
Kirill Bykov, Laura Kopf, Shinichi Nakajima, Marius Kloft, Marina M.-C. Höhne
Labeling Neural Representations with Inverse Recognition. CoRR (2023)
Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt
Zero-Shot Anomaly Detection without Foundation Models. CoRR (2023)
Phil Ostheimer, Mayank Nagda, Marius Kloft, Sophie Fellenz
Text Style Transfer Evaluation Using Large Language Models. CoRR (2023)
Aodong Li, Chen Qiu, Padhraic Smyth, Marius Kloft, Stephan Mandt, Maja Rudolph
Deep Anomaly Detection under Labeling Budget Constraints. CoRR (2023)
Matthias Kirchler, Christoph Lippert, Marius Kloft
Training Normalizing Flows from Dependent Data. ICML (2023)
Phil Ostheimer, Mayank Kumar Nagda, Marius Kloft, Sophie Fellenz
A Call for Standardization and Validation of Text Style Transfer Evaluation. ACL (Findings) (2023)
Billy Joe Franks, Benjamin Dinkelmann, Marius Kloft, Sophie Fellenz
Ordinal Regression for Difficulty Prediction of StepMania Levels. ECML/PKDD (6) (2023)
Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft
Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings. AAAI (2023)
Antoine Ledent, Rodrigo Alves, Marius Kloft
Orthogonal Inductive Matrix Completion. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Fabian Hartung, Billy Joe Franks, Tobias Michels, Dennis Wagner, Philipp Liznerski, Steffen Reithermann, Sophie Fellenz, Fabian Jirasek, Maja Rudolph, Daniel Neider, Heike Leitte, Chen Song, Benjamin Klöpper, Stephan Mandt, Michael Bortz, Jakob Burger, Hans Hasse, Marius Kloft
Deep Anomaly Detection on Tennessee Eastman Process Data. CoRR (2023)
Kirill Bykov, Laura Kopf, Shinichi Nakajima, Marius Kloft, Marina M.-C. Höhne
Labeling Neural Representations with Inverse Recognition. NeurIPS (2023)
Billy Joe Franks, Benjamin Dinkelmann, Sophie Fellenz, Marius Kloft
Ordinal Regression for Difficulty Estimation of StepMania Levels. CoRR (2023)
Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Stephan Mandt, Maja Rudolph
Deep Anomaly Detection under Labeling Budget Constraints. ICML (2023)
Phil Ostheimer, Mayank Nagda, Marius Kloft, Sophie Fellenz
A Call for Standardization and Validation of Text Style Transfer Evaluation. CoRR (2023)
Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao
E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Dennis Wagner, Tobias Michels, Florian C. F. Schulz, Arjun Nair, Maja Rudolph, Marius Kloft
TimeSeAD: Benchmarking Deep Multivariate Time-Series Anomaly Detection. Trans. Mach. Learn. Res. 2023 (2023)
Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph
Raising the Bar in Graph-level Anomaly Detection. CoRR (2022)
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images. CoRR (2022)
Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph
Raising the Bar in Graph-level Anomaly Detection. IJCAI (2022)
Chen Qiu, Aodong Li, Marius Kloft, Maja Rudolph, Stephan Mandt
Latent Outlier Exposure for Anomaly Detection with Contaminated Data. CoRR (2022)
Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings. CoRR (2022)
Matthias Kirchler, Stefan Konigorski, Matthias Norden, Christian Meltendorf, Marius Kloft, Claudia Schurmann, Christoph Lippert
transferGWAS: GWAS of images using deep transfer learning. Bioinform. 38 (14) (2022)
Chen Qiu, Aodong Li, Marius Kloft, Maja Rudolph, Stephan Mandt
Latent Outlier Exposure for Anomaly Detection with Contaminated Data. ICML (2022)
Waleed Mustafa, Yunwen Lei, Marius Kloft
On the Generalization Analysis of Adversarial Learning. ICML (2022)
Ajay Chawda, Stefanie Grimm, Marius Kloft
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings. CoRR (2022)
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images. Trans. Mach. Learn. Res. 2022 (2022)
Matthias Kirchler, Christoph Lippert, Marius Kloft
Training Normalizing Flows from Dependent Data. CoRR (2022)
Tim Schneider, Chen Qiu, Marius Kloft, Decky Aspandi-Latif, Steffen Staab, Stephan Mandt, Maja Rudolph
Detecting Anomalies within Time Series using Local Neural Transformations. CoRR (2022)
Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Xifeng Guo, Marius Kloft, Liangzhong He
Multiview Subspace Clustering via Co-Training Robust Data Representation. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Antoine Ledent, Waleed Mustafa, Yunwen Lei, Marius Kloft
Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks. AAAI (2021)
Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft
Learning Interpretable Concept Groups in CNNs. CoRR (2021)
Kirill Bykov, Marina M.-C. Höhne, Adelaida Creosteanu, Klaus-Robert Müller, Frederick Klauschen, Shinichi Nakajima, Marius Kloft
Explaining Bayesian Neural Networks. CoRR (2021)
Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft
Model Uncertainty Guides Visual Object Tracking. AAAI (2021)
Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft
Learning Interpretable Concept Groups in CNNs. IJCAI (2021)
Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft
Fine-grained Generalization Analysis of Structured Output Prediction. CoRR (2021)
Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft
Fine-grained Generalization Analysis of Vector-Valued Learning. AAAI (2021)
Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft
Fine-grained Generalization Analysis of Vector-valued Learning. CoRR (2021)
Billy Joe Franks, Markus Anders, Marius Kloft, Pascal Schweitzer
Trainability for Universal GNNs Through Surgical Randomness. CoRR (2021)
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller
Explainable Deep One-Class Classification. ICLR (2021)
Rodrigo Alves, Antoine Ledent, Marius Kloft
Burst-induced Multi-Armed Bandit for Learning Recommendation. RecSys (2021)
Antoine Ledent, Rodrigo Alves, Yunwen Lei, Marius Kloft
Fine-grained Generalization Analysis of Inductive Matrix Completion. NeurIPS (2021)
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
A Unifying Review of Deep and Shallow Anomaly Detection. Proc. IEEE 109 (5) (2021)
Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft
Fine-grained Generalization Analysis of Structured Output Prediction. IJCAI (2021)
Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu
Efficient and Effective Regularized Incomplete Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 43 (8) (2021)
Chen Qiu, Timo Pfrommer, Marius Kloft, Stephan Mandt, Maja Rudolph
Neural Transformation Learning for Deep Anomaly Detection Beyond Images. ICML (2021)
Chen Qiu, Timo Pfrommer, Marius Kloft, Stephan Mandt, Maja Rudolph
Neural Transformation Learning for Deep Anomaly Detection Beyond Images. CoRR (2021)
Matthias Kirchler, Martin Graf, Marius Kloft, Christoph Lippert
Explainability Requires Interactivity. CoRR (2021)
Guang Yu, Siqi Wang, Zhiping Cai, En Zhu, Chuanfu Xu, Jianping Yin, Marius Kloft
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. CoRR (2020)
Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. IJCNN (2020)
Waleed Mustafa, Robert A. Vandermeulen, Marius Kloft
Input Hessian Regularization of Neural Networks. CoRR (2020)
Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. CoRR (2020)
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
A Unifying Review of Deep and Shallow Anomaly Detection. CoRR (2020)
Yunwen Lei, Antoine Ledent, Marius Kloft
Sharper Generalization Bounds for Pairwise Learning. NeurIPS (2020)
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
Deep Semi-Supervised Anomaly Detection. ICLR (2020)
Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert
Two-sample Testing Using Deep Learning. AISTATS (2020)
Rodrigo Alves, Antoine Ledent, Renato Assunção, Marius Kloft
An Empirical Study of the Discreteness Prior in Low-Rank Matrix Completion. Preregister@NeurIPS (2020)
Guang Yu, Siqi Wang, Zhiping Cai, En Zhu, Chuanfu Xu, Jianping Yin, Marius Kloft
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. ACM Multimedia (2020)
Antoine Ledent, Rodrigo Alves, Marius Kloft
Orthogonal Inductive Matrix Completion. CoRR (2020)
Kirill Bykov, Marina M.-C. Höhne, Klaus-Robert Müller, Shinichi Nakajima, Marius Kloft
How Much Can I Trust You? - Quantifying Uncertainties in Explaining Neural Networks. CoRR (2020)
Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao
Multiple Kernel $k$k-Means with Incomplete Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 42 (5) (2020)
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller
Explainable Deep One-Class Classification. CoRR (2020)
Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft
Rethinking Assumptions in Deep Anomaly Detection. CoRR (2020)
Florian Wenzel, Théo Galy-Fajou, Christian Donner, Marius Kloft, Manfred Opper
Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation. AAAI (2019)
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
Deep Semi-Supervised Anomaly Detection. CoRR (2019)
Yunwen Lei, Ürün Dogan, Ding-Xuan Zhou, Marius Kloft
Data-Dependent Generalization Bounds for Multi-Class Classification. IEEE Trans. Inf. Theory 65 (5) (2019)
Lukas Ruff, Yury Zemlyanskiy, Robert A. Vandermeulen, Thomas Schnake, Marius Kloft
Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text. ACL (1) (2019)
James A. Preiss, Sébastien M. R. Arnold, Chen-Yu Wei, Marius Kloft
Analyzing the Variance of Policy Gradient Estimators for the Linear-Quadratic Regulator. CoRR (2019)
Siqi Wang, Yijie Zeng, Xinwang Liu, En Zhu, Jianping Yin, Chuanfu Xu, Marius Kloft
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network. NeurIPS (2019)
Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert
Two-sample Testing Using Deep Learning. CoRR (2019)
Antoine Ledent, Yunwen Lei, Marius Kloft
Covering Numbers. CoRR (2019)
Thomas Goerttler, Marius Kloft
Learning a Multimodal Prior Distribution for Generative Adversarial Nets. LWDA (2019)
Samy Bengio, Krzysztof Dembczynski, Thorsten Joachims, Marius Kloft, Manik Varma
Extreme Classification (Dagstuhl Seminar 18291). Dagstuhl Reports 8 (7) (2018)
Marius Kloft
Distributed Optimization of All-in-one SVMs for Extreme Classfication. WWW (Companion Volume) (2018)
Florian Wenzel, Théo Galy-Fajou, Christian Donner, Marius Kloft, Manfred Opper
Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation. CoRR (2018)
Yanhua Chen, Marius Kloft, Yi Yang, Caihong Li, Lian Li
Mixed kernel based extreme learning machine for electric load forecasting. Neurocomputing 312 (2018)
Nico Görnitz, Luiz Alberto Lima, Klaus-Robert Müller, Marius Kloft, Shinichi Nakajima
Support Vector Data Descriptions and k-Means Clustering: One Class? IEEE Trans. Neural Networks Learn. Syst. 29 (9) (2018)
Lukas Ruff, Nico Görnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Müller, Marius Kloft
Deep One-Class Classification. ICML (2018)
Lucas Deecke, Robert A. Vandermeulen, Lukas Ruff, Stephan Mandt, Marius Kloft
Image Anomaly Detection with Generative Adversarial Networks. ECML/PKDD (1) (2018)
Patrick Jähnichen, Florian Wenzel, Marius Kloft, Stephan Mandt
Scalable Generalized Dynamic Topic Models. CoRR (2018)
Patrick Jähnichen, Florian Wenzel, Marius Kloft, Stephan Mandt
Scalable Generalized Dynamic Topic Models. AISTATS (2018)
Niloofar Yousefi, Yunwen Lei, Marius Kloft, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning. J. Mach. Learn. Res. 19 (2018)
Florian Wenzel, Théo Galy-Fajou, Matthäus Deutsch, Marius Kloft
Bayesian Nonlinear Support Vector Machines for Big Data. CoRR (2017)
Florian Wenzel, Théo Galy-Fajou, Matthäus Deutsch, Marius Kloft
Bayesian Nonlinear Support Vector Machines for Big Data. ECML/PKDD (1) (2017)
Yunwen Lei, Ürün Dogan, Ding-Xuan Zhou, Marius Kloft
Generalization Error Bounds for Extreme Multi-class Classification. CoRR (2017)
Stephan Mandt, Florian Wenzel, Shinichi Nakajima, John P. Cunningham, Christoph Lippert, Marius Kloft
Sparse probit linear mixed model. Mach. Learn. 106 (9-10) (2017)
Stephan Mandt, Florian Wenzel, Shinichi Nakajima, Christoph Lippert, Marius Kloft
Separating Sparse Signals from Correlated Noise in Binary Classification. CFA@UAI (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marius Kloft