Jakob Zscheischler

15 papers A 2C 1Misc 2Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Numerical models outperform AI weather forecasts of record-breaking extremes. CoRR Zhongwei Zhang, Erich Fischer, Jakob Zscheischler, Sebastian Engelke
2025	J	`jnl`	Regularization of ML models for Earth systems by using longer model timesteps. CoRR Raghul Parthipan, Mohit Anand, Hannah M. Christensen, Frederic Vitart, Damon J. Wischik, Jakob Zscheischler
2024	J	`jnl`	Causal machine learning for sustainable agroecosystems. CoRR Vasileios Sitokonstantinou, Emiliano Díaz Salas Porras, Jordi Cerdà-Bautista, Maria Piles, Ioannis Athanasiadis, Hannah Kerner, Giulia Martini, Lily-belle Sweet, Ilias Tsoumas, Jakob Zscheischler, Gustau Camps-Valls
2024	J	`jnl`	Validating Deep-Learning Weather Forecast Models on Recent High-Impact Extreme Events. CoRR Olivier C. Pasche, Jonathan Wider, Zhongwei Zhang, Jakob Zscheischler, Sebastian Engelke
2016	J	`jnl`	Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks. J. Mach. Learn. Res. Joris M. Mooij, Jonas Peters, Dominik Janzing, Jakob Zscheischler, Bernhard Schölkopf
2015	C	`conf`	Ranking drivers of global carbon and energy fluxes over land. IGARSS Gustau Camps-Valls, Martin Jung, Kazuhito Ichii, Dario Papale, Gianluca Tramontana, Paul Bodesheim, Christopher R. Schwalm, Jakob Zscheischler, Miguel D. Mahecha, Markus Reichstein
2014	J	`jnl`	Distinguishing cause from effect using observational data: methods and benchmarks. CoRR Joris M. Mooij, Jonas Peters, Dominik Janzing, Jakob Zscheischler, Bernhard Schölkopf
2013	Misc	`conf`	A Guided Hybrid Genetic Algorithm for Feature Selection with Expensive Cost Functions. ICCS Martin Jung, Jakob Zscheischler
2013	J	`jnl`	Detection and attribution of large spatiotemporal extreme events in Earth observation data. Ecol. Informatics Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling, Markus Reichstein
2012	Misc	`conf`	Climate Classifications: the Value of Unsupervised Clustering. ICCS Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling
2012	J	`jnl`	Inferring deterministic causal relations CoRR Povilas Daniusis, Dominik Janzing, Joris M. Mooij, Jakob Zscheischler, Bastian Steudel, Kun Zhang, Bernhard Schölkopf
2012	J	`jnl`	Information-geometric approach to inferring causal directions. Artif. Intell. Dominik Janzing, Joris M. Mooij, Kun Zhang, Jan Lemeire, Jakob Zscheischler, Povilas Daniusis, Bastian Steudel, Bernhard Schölkopf
2012	J	`jnl`	Testing whether linear equations are causal: A free probability theory approach CoRR Jakob Zscheischler, Dominik Janzing, Kun Zhang
2011	A	`conf`	Testing whether linear equations are causal: A free probability theory approach. UAI Jakob Zscheischler, Dominik Janzing, Kun Zhang
2010	A	`conf`	Inferring deterministic causal relations. UAI Povilas Daniusis, Dominik Janzing, Joris M. Mooij, Jakob Zscheischler, Bastian Steudel, Kun Zhang, Bernhard Schölkopf