Lars Lorch

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Conditional Independence

Structure Learning

Top Venues

ACM Trans. Spatial Algorithms Syst.

Publications

Lars Lorch, Andreas Krause, Bernhard Schölkopf
Causal Modeling with Stationary Diffusions. AISTATS (2024)
Weronika Ormaniec, Scott Sussex, Lars Lorch, Bernhard Schölkopf, Andreas Krause
Standardizing Structural Causal Models. CoRR (2024)
Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause
BaCaDI: Bayesian Causal Discovery with Unknown Interventions. AISTATS (2023)
Lars Lorch, Andreas Krause, Bernhard Schölkopf
Causal Modeling with Stationary Diffusions. CoRR (2023)
Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen
Active Bayesian Causal Inference. CoRR (2022)
Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez
Pooled testing of traced contacts under superspreading dynamics. PLoS Comput. Biol. 18 (3) (2022)
Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen
Active Bayesian Causal Inference. NeurIPS (2022)
Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf
Amortized Inference for Causal Structure Learning. CoRR (2022)
Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause
BaCaDI: Bayesian Causal Discovery with Unknown Interventions. CoRR (2022)
Lars Lorch, Heiner Kremer, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez
Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots. ACM Trans. Spatial Algorithms Syst. 8 (4) (2022)
Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf
Amortized Inference for Causal Structure Learning. NeurIPS (2022)
Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf, Andreas Krause
DiBS: Differentiable Bayesian Structure Learning. CoRR (2021)
Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez
Group Testing under Superspreading Dynamics. CoRR (2021)
Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf, Andreas Krause
DiBS: Differentiable Bayesian Structure Learning. NeurIPS (2021)
Lars Lorch, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez
A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment. CoRR (2020)
Wanqian Yang, Lars Lorch, Moritz A. Graule, Himabindu Lakkaraju, Finale Doshi-Velez
Incorporating Interpretable Output Constraints in Bayesian Neural Networks. CoRR (2020)
Wanqian Yang, Lars Lorch, Moritz A. Graule, Himabindu Lakkaraju, Finale Doshi-Velez
Incorporating Interpretable Output Constraints in Bayesian Neural Networks. NeurIPS (2020)
Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez
Output-Constrained Bayesian Neural Networks. CoRR (2019)
Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
Stochastic Optimal Control of Epidemic Processes in Networks. CoRR (2018)