Philipp Michael Faller

13 papers A 3Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Cross-validating causal discovery via Leave-One-Variable-Out.
CLeaR
Daniela Schkoda, Philipp Michael Faller, Dominik Janzing, Patrick Blöbaum
2025 J jnl
From Guess2Graph: When and How Can Unreliable Experts Safely Boost Causal Discovery in Finite Samples?
CoRR
Sujai Hiremath, Dominik Janzing, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Shiva Prasad Kasiviswanathan, Kyra Gan
2025 J jnl
On Different Notions of Redundancy in Conditional-Independence-Based Discovery of Graphical Models.
CoRR
Philipp Michael Faller, Dominik Janzing
2025 — conf
Score matching through the roof: linear, nonlinear, and latent variables causal discovery.
CLeaR
Francesco Montagna, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Francesco Locatello
2024 J jnl
Cross-validating causal discovery via Leave-One-Variable-Out.
CoRR
Daniela Schkoda, Philipp Michael Faller, Patrick Blöbaum, Dominik Janzing
2024 A conf
Quantifying intrinsic causal contributions via structure preserving interventions.
AISTATS
Dominik Janzing, Patrick Blöbaum, Atalanti-Anastasia Mastakouri, Philipp Michael Faller, Lenon Minorics, Kailash Budhathoki
2024 J jnl
Score matching through the roof: linear, nonlinear, and latent variables causal discovery.
CoRR
Francesco Montagna, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Francesco Locatello
2024 A conf
Self-Compatibility: Evaluating Causal Discovery without Ground Truth.
AISTATS
Philipp Michael Faller, Leena C. Vankadara, Atalanti-Anastasia Mastakouri, Francesco Locatello, Dominik Janzing
2023 J jnl
Reinterpreting causal discovery as the task of predicting unobserved joint statistics.
CoRR
Dominik Janzing, Philipp Michael Faller, Leena Chennuru Vankadara
2023 J jnl
Self-Compatibility: Evaluating Causal Discovery without Ground Truth.
CoRR
Philipp Michael Faller, Leena Chennuru Vankadara, Atalanti-Anastasia Mastakouri, Francesco Locatello, Dominik Janzing
2022 A conf
Causal forecasting: generalization bounds for autoregressive models.
UAI
Leena Chennuru Vankadara, Philipp Michael Faller, Michaela Hardt, Lenon Minorics, Debarghya Ghoshdastidar, Dominik Janzing
2021 J jnl
Causal Forecasting: Generalization Bounds for Autoregressive Models.
CoRR
Leena C. Vankadara, Philipp Michael Faller, Lenon Minorics, Debarghya Ghoshdastidar, Dominik Janzing
2020 — conf
Batch-wise Regularization of Deep Neural Networks for Interpretability.
MFI
Nadia Burkart, Philipp Michael Faller, Elisabeth Peinsipp, Marco F. Huber