Lorch, Lars

12 publications

ICML 2025 Generative Intervention Models for Causal Perturbation Modeling Nora Schneider, Lars Lorch, Niki Kilbertus, Bernhard Schölkopf, Andreas Krause

ICLR 2025 Standardizing Structural Causal Models Weronika Ormaniec, Scott Sussex, Lars Lorch, Bernhard Schölkopf, Andreas Krause

AISTATS 2024 Causal Modeling with Stationary Diffusions Lars Lorch, Andreas Krause, Bernhard Schölkopf

AISTATS 2023 BaCaDI: Bayesian Causal Discovery with Unknown Interventions Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause

NeurIPSW 2023 Causal Modeling with Stationary Diffusions Lars Lorch, Andreas Krause, Bernhard Schölkopf

NeurIPS 2022 Active Bayesian Causal Inference Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen

NeurIPSW 2022 Active Bayesian Causal Inference Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius Von Kügelgen

NeurIPSW 2022 Active Bayesian Causal Inference Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius Von Kügelgen

NeurIPS 2022 Amortized Inference for Causal Structure Learning Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf

NeurIPSW 2022 Amortized Inference for Causal Structure Learning Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf

NeurIPS 2021 DiBS: Differentiable Bayesian Structure Learning Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf, Andreas Krause

NeurIPS 2020 Incorporating Interpretable Output Constraints in Bayesian Neural Networks Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju, Finale Doshi-Velez