Stochastic Optimal Control of Epidemic Processes in Networks. - Lars Lorch; Abir De; Samir Bhatt; William Trouleau; Utkarsh Upadhyay; Manuel Gomez-Rodriguez (CoRR, 2018)

Output-Constrained Bayesian Neural Networks. - Wanqian Yang; Lars Lorch; Moritz A. Graule; Srivatsan Srinivasan; Anirudh Suresh; Jiayu Yao; Melanie F. Pradier; Finale Doshi-Velez (CoRR, 2019)

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

A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment. - Lars Lorch; William Trouleau; Stratis Tsirtsis; Aron Szanto; Bernhard Schölkopf; Manuel Gomez-Rodriguez (CoRR, 2020)

DiBS: Differentiable Bayesian Structure Learning. - Lars Lorch; Jonas Rothfuss; Bernhard Schölkopf; Andreas Krause 001 (NeurIPS, 2021)

Group Testing under Superspreading Dynamics. - Stratis Tsirtsis; Abir De; Lars Lorch; Manuel Gomez-Rodriguez (CoRR, 2021)

Amortized Inference for Causal Structure Learning. - Lars Lorch; Scott Sussex; Jonas Rothfuss; Andreas Krause 001; Bernhard Schölkopf (NeurIPS, 2022)

Active Bayesian Causal Inference. - Christian Toth; Lars Lorch; Christian Knoll 002; Andreas Krause 001; Franz Pernkopf; Robert Peharz; Julius von Kügelgen (NeurIPS, 2022)

Pooled testing of traced contacts under superspreading dynamics. - Stratis Tsirtsis; Abir De; Lars Lorch; Manuel Gomez-Rodriguez (PLoS Comput. Biol., 2022)

Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots. - Lars Lorch; Heiner Kremer; William Trouleau; Stratis Tsirtsis; Aron Szanto; Bernhard Schölkopf; Manuel Gomez-Rodriguez (ACM Trans. Spatial Algorithms Syst., 2022)

BaCaDI: Bayesian Causal Discovery with Unknown Interventions. - Alexander Hägele; Jonas Rothfuss; Lars Lorch; Vignesh Ram Somnath; Bernhard Schölkopf; Andreas Krause 001 (AISTATS, 2023)

Causal Modeling with Stationary Diffusions. - Lars Lorch; Andreas Krause 001; Bernhard Schölkopf (AISTATS, 2024)

Generative Intervention Models for Causal Perturbation Modeling. - Nora Schneider; Lars Lorch; Niki Kilbertus; Bernhard Schölkopf; Andreas Krause 001 (CoRR, 2024)

Standardizing Structural Causal Models. - Weronika Ormaniec; Scott Sussex; Lars Lorch; Bernhard Schölkopf; Andreas Krause 001 (ICLR, 2025)