Alexander Marx

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Mutual Information

Top Venues

Publications

Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. ICLR (2024)
Alain Ryser, Thomas M. Sutter, Alexander Marx, Julia E. Vogt
Anomaly Detection by Context Contrasting. CoRR (2024)
Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. CoRR (2023)
Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx, Julia E. Vogt
Identifiability Results for Multimodal Contrastive Learning. ICLR (2023)
Alexander Immer, Emanuele Palumbo, Alexander Marx, Julia E. Vogt
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks. NeurIPS (2023)
Pawel Czyz, Frederic Grabowski, Julia E. Vogt, Niko Beerenwinkel, Alexander Marx
Beyond Normal: On the Evaluation of Mutual Information Estimators. CoRR (2023)
Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx, Julia E. Vogt
Identifiability Results for Multimodal Contrastive Learning. CoRR (2023)
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)
Pawel Czyz, Frederic Grabowski, Julia E. Vogt, Niko Beerenwinkel, Alexander Marx
Beyond Normal: On the Evaluation of Mutual Information Estimators. NeurIPS (2023)
Pawel Czyz, Frederic Grabowski, Julia E. Vogt, Niko Beerenwinkel, Alexander Marx
The Mixtures and the Neural Critics: On the Pointwise Mutual Information Profiles of Fine Distributions. CoRR (2023)
Sascha Xu, Osman Ali Mian, Alexander Marx, Jilles Vreeken
Inferring Cause and Effect in the Presence of Heteroscedastic Noise. ICML (2022)
Alexander Marx, Jonas Fischer
NN. SDM (2022)
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 (2022)
Jan Plier, Matthias Zisler, Jennifer Furkel, Maximilian Knoll, Alexander Marx, Alena Fischer, Kai Polsterer, Mathias H. Konstandin, Stefania Petra
Learning Features via Transformer Networks for Cardiomyocyte Profiling. Bildverarbeitung für die Medizin (2022)
Osman Ali Mian, Alexander Marx, Jilles Vreeken
Discovering Fully Oriented Causal Networks. AAAI (2021)
Alexander Marx, Arthur Gretton, Joris M. Mooij
A weaker faithfulness assumption based on triple interactions. UAI (2021)
Alexander Marx, Lincen Yang, Matthijs van Leeuwen
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms. SDM (2021)
Alexander Marx, Jilles Vreeken
Formally Justifying MDL-based Inference of Cause and Effect. CoRR (2021)
Alexander Marx, Jonas Fischer
Estimating Mutual Information via Geodesic kNN. CoRR (2021)
Alexander Marx, Lincen Yang, Matthijs van Leeuwen
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms. CoRR (2021)
Alexander Marx, Arthur Gretton, Joris M. Mooij
A Weaker Faithfulness Assumption based on Triple Interactions. CoRR (2020)
Alexander Marx, Jilles Vreeken
Testing Conditional Independence on Discrete Data using Stochastic Complexity. AISTATS (2019)
Alexander Marx, Jilles Vreeken
Testing Conditional Independence on Discrete Data using Stochastic Complexity. CoRR (2019)
Alexander Marx, Jilles Vreeken
Telling cause from effect by local and global regression. Knowl. Inf. Syst. 60 (3) (2019)
Alexander Marx, Jilles Vreeken
Identifiability of Cause and Effect using Regularized Regression. KDD (2019)
Alexander Marx, Jilles Vreeken
Causal Inference on Multivariate and Mixed-Type Data. ECML/PKDD (2) (2018)
Alexander Marx, Jilles Vreeken
Causal Discovery by Telling Apart Parents and Children. CoRR (2018)
Alexander Marx, Jilles Vreeken
Causal Inference on Multivariate Mixed-Type Data by Minimum Description Length. CoRR (2017)
Alexander Marx, Jilles Vreeken
Telling Cause from Effect Using MDL-Based Local and Global Regression. ICDM (2017)
Alexander Marx, Gideon Okpoti Tetteh
A Forest Vitality and Change Monitoring Tool Based on RapidEye Imagery. IEEE Geosci. Remote. Sens. Lett. 14 (6) (2017)
Alexander Marx, Christina Backes, Eckart Meese, Hans-Peter Lenhof, Andreas Keller
EDISON-WMW: Exact Dynamic Programing Solution of the Wilcoxon-Mann-Whitney Test. Genom. Proteom. Bioinform. 14 (1) (2016)