Lars Lorch - RankMe

23 papers A* 6A 2Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Latent Causal Diffusions for Single-Cell Perturbation Modeling. CoRR Lars Lorch, Jiaqi Zhang, Charlotte Bunne, Andreas Krause, Bernhard Schölkopf, Caroline Uhler
2025	A*	`conf`	Generative Intervention Models for Causal Perturbation Modeling. ICML Nora Schneider, Lars Lorch, Niki Kilbertus, Bernhard Schölkopf, Andreas Krause
2025	A*	`conf`	Standardizing Structural Causal Models. ICLR Weronika Ormaniec, Scott Sussex, Lars Lorch, Bernhard Schölkopf, Andreas Krause
2024	A	`conf`	Causal Modeling with Stationary Diffusions. AISTATS Lars Lorch, Andreas Krause, Bernhard Schölkopf
2024	J	`jnl`	Generative Intervention Models for Causal Perturbation Modeling. CoRR Nora Schneider, Lars Lorch, Niki Kilbertus, Bernhard Schölkopf, Andreas Krause
2024	J	`jnl`	Standardizing Structural Causal Models. CoRR Weronika Ormaniec, Scott Sussex, Lars Lorch, Bernhard Schölkopf, Andreas Krause
2023	A	`conf`	BaCaDI: Bayesian Causal Discovery with Unknown Interventions. AISTATS Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause
2023	J	`jnl`	Causal Modeling with Stationary Diffusions. CoRR Lars Lorch, Andreas Krause, Bernhard Schölkopf
2022	A*	`conf`	Active Bayesian Causal Inference. NeurIPS Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen
2022	J	`jnl`	Active Bayesian Causal Inference. CoRR Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen
2022	A*	`conf`	Amortized Inference for Causal Structure Learning. NeurIPS Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf
2022	J	`jnl`	Amortized Inference for Causal Structure Learning. CoRR Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf
2022	J	`jnl`	BaCaDI: Bayesian Causal Discovery with Unknown Interventions. CoRR Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause
2022	J	`jnl`	Pooled testing of traced contacts under superspreading dynamics. PLoS Comput. Biol. Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez
2022	J	`jnl`	Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots. ACM Trans. Spatial Algorithms Syst. Lars Lorch, Heiner Kremer, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2021	A*	`conf`	DiBS: Differentiable Bayesian Structure Learning. NeurIPS Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf, Andreas Krause
2021	J	`jnl`	DiBS: Differentiable Bayesian Structure Learning. CoRR Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf, Andreas Krause
2021	J	`jnl`	Group Testing under Superspreading Dynamics. CoRR Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez
2020	J	`jnl`	A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment. CoRR Lars Lorch, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2020	A*	`conf`	Incorporating Interpretable Output Constraints in Bayesian Neural Networks. NeurIPS Wanqian Yang, Lars Lorch, Moritz A. Graule, Himabindu Lakkaraju, Finale Doshi-Velez
2020	J	`jnl`	Incorporating Interpretable Output Constraints in Bayesian Neural Networks. CoRR Wanqian Yang, Lars Lorch, Moritz A. Graule, Himabindu Lakkaraju, Finale Doshi-Velez
2019	J	`jnl`	Output-Constrained Bayesian Neural Networks. CoRR Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez
2018	J	`jnl`	Stochastic Optimal Control of Epidemic Processes in Networks. CoRR Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez