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Alexander Marx
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- affiliation: CISPA Helmholtz Center for Information Security, Saarbrücken, Germany
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2020 – today
- 2024
- [j4]Alexander Marx
, Anne Clasen, Johannes May, Simon König, Birgit Kleinschmit, Michael Förster
Imaging spectroscopy for bark beetle detection in Norway spruce and the relevance of the red-edge spectral range. Int. J. Appl. Earth Obs. Geoinformation 133: 104100 (2024) - [c15]Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi:
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. ICLR 2024 - [i13]Alain Ryser, Thomas M. Sutter, Alexander Marx
Anomaly Detection by Context Contrasting. CoRR abs/2405.18848 (2024) - 2023
- [c14]Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx, Julia E. Vogt:
Identifiability Results for Multimodal Contrastive Learning. ICLR 2023 - [c13]Alexander Immer, Christoph Schultheiss, Julia E. Vogt, Bernhard Schölkopf, Peter Bühlmann, Alexander Marx:
On the Identifiability and Estimation of Causal Location-Scale Noise Models. ICML 2023: 14316-14332 - [c12]Pawel Czyz, Frederic Grabowski, Julia E. Vogt, Niko Beerenwinkel, Alexander Marx:
Beyond Normal: On the Evaluation of Mutual Information Estimators. NeurIPS 2023 - [c11]Alexander Immer, Emanuele Palumbo, Alexander Marx, Julia E. Vogt:
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks. NeurIPS 2023 - [i12]Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx
Identifiability Results for Multimodal Contrastive Learning. CoRR abs/2303.09166 (2023) - [i11]Pawel Czyz, Frederic Grabowski, Julia E. Vogt
Beyond Normal: On the Evaluation of Mutual Information Estimators. CoRR abs/2306.11078 (2023) - [i10]Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. CoRR abs/2310.07518 (2023) - [i9]Pawel Czyz, Frederic Grabowski, Julia E. Vogt
The Mixtures and the Neural Critics: On the Pointwise Mutual Information Profiles of Fine Distributions. CoRR abs/2310.10240 (2023) - 2022
- [c10]Jan Plier, Matthias Zisler, Jennifer Furkel, Maximilian Knoll, Alexander Marx
Learning Features via Transformer Networks for Cardiomyocyte Profiling. Bildverarbeitung für die Medizin 2022: 167-172 - [c9]Sascha Xu, Osman Mian, Alexander Marx, Jilles Vreeken:
Inferring Cause and Effect in the Presence of Heteroscedastic Noise. ICML 2022: 24615-24630 - [c8]Alexander Marx, Jonas Fischer:
Estimating Mutual Information via Geodesic kNN. SDM 2022: 415-423 - [i8]Alexander Immer, Christoph Schultheiss, Julia E. Vogt, Bernhard Schölkopf, Peter Bühlmann, Alexander Marx:
On the Identifiability and Estimation of Causal Location-Scale Noise Models. CoRR abs/2210.09054 (2022) - 2021
- [b1]Alexander Marx:
Information-Theoretic Causal Discovery. Saarland University, Saarbrücken, Germany, 2021 - [c7]Osman Mian, Alexander Marx, Jilles Vreeken:
Discovering Fully Oriented Causal Networks. AAAI 2021: 8975-8982 - [c6]Alexander Marx, Lincen Yang, Matthijs van Leeuwen
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms. SDM 2021: 387-395 - [c5]Alexander Marx, Arthur Gretton, Joris M. Mooij:
A weaker faithfulness assumption based on triple interactions. UAI 2021: 451-460 - [i7]Alexander Marx, Lincen Yang, Matthijs van Leeuwen:
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms. CoRR abs/2101.05009 (2021) - [i6]Alexander Marx, Jilles Vreeken:
Formally Justifying MDL-based Inference of Cause and Effect. CoRR abs/2105.01902 (2021) - [i5]Alexander Marx, Jonas Fischer:
Estimating Mutual Information via Geodesic kNN. CoRR abs/2110.13883 (2021) - 2020
- [i4]Alexander Marx, Arthur Gretton, Joris M. Mooij:
A Weaker Faithfulness Assumption based on Triple Interactions. CoRR abs/2010.14265 (2020)
2010 – 2019
- 2019
- [j3]Alexander Marx
Telling cause from effect by local and global regression. Knowl. Inf. Syst. 60(3): 1277-1305 (2019) - [c4]Alexander Marx, Jilles Vreeken:
Testing Conditional Independence on Discrete Data using Stochastic Complexity. AISTATS 2019: 496-505 - [c3]Alexander Marx
Identifiability of Cause and Effect using Regularized Regression. KDD 2019: 852-861 - [i3]Alexander Marx
Testing Conditional Independence on Discrete Data using Stochastic Complexity. CoRR abs/1903.04829 (2019) - 2018
- [c2]Alexander Marx
Causal Inference on Multivariate and Mixed-Type Data. ECML/PKDD (2) 2018: 655-671 - [i2]Alexander Marx, Jilles Vreeken:
Causal Discovery by Telling Apart Parents and Children. CoRR abs/1808.06356 (2018) - 2017
- [j2]Alexander Marx, Gideon Okpoti Tetteh
A Forest Vitality and Change Monitoring Tool Based on RapidEye Imagery. IEEE Geosci. Remote. Sens. Lett. 14(6): 801-805 (2017) - [c1]Alexander Marx
Telling Cause from Effect Using MDL-Based Local and Global Regression. ICDM 2017: 307-316 - [i1]Alexander Marx, Jilles Vreeken:
Causal Inference on Multivariate Mixed-Type Data by Minimum Description Length. CoRR abs/1702.06385 (2017) - 2016
- [j1]Alexander Marx
EDISON-WMW: Exact Dynamic Programing Solution of the Wilcoxon-Mann-Whitney Test. Genom. Proteom. Bioinform. 14(1): 55-61 (2016)
Coauthor Index
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