Lars Lorch

According to our database, Lars Lorch authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Latent Causal Diffusions for Single-Cell Perturbation Modeling.

Lars Lorch, Jiaqi Zhang, Charlotte Bunne, Andreas Krause, Bernhard Schölkopf, Caroline Uhler

CoRR, January, 2026

2025

Generative Intervention Models for Causal Perturbation Modeling.

Nora Schneider, Lars Lorch, Niki Kilbertus, Bernhard Schölkopf, Andreas Krause

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Standardizing Structural Causal Models.

Weronika Ormaniec, Scott Sussex, Lars Lorch, Bernhard Schölkopf, Andreas Krause

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Causal Modeling with Stationary Diffusions.

Lars Lorch, Andreas Krause, Bernhard Schölkopf

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

BaCaDI: Bayesian Causal Discovery with Unknown Interventions.

Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

Pooled testing of traced contacts under superspreading dynamics.

Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez

PLoS Comput. Biol., 2022

Active Bayesian Causal Inference.

Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Amortized Inference for Causal Structure Learning.

Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Group Testing under Superspreading Dynamics.

Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez

CoRR, 2021

DiBS: Differentiable Bayesian Structure Learning.

Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Incorporating Interpretable Output Constraints in Bayesian Neural Networks.

Wanqian Yang, Lars Lorch, Moritz A. Graule, Himabindu Lakkaraju, Finale Doshi-Velez

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

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

2018

Stochastic Optimal Control of Epidemic Processes in Networks.

Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez

CoRR, 2018