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Active Bayesian Causal Inference


Jun 04, 2022
Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen

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* RP & JvK are shared last authors. 10 pages + references + appendices (26 pages total); 6 Figs 

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BaCaDI: Bayesian Causal Discovery with Unknown Interventions


Jun 03, 2022
Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause

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Amortized Inference for Causal Structure Learning


May 25, 2022
Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf

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Group Testing under Superspreading Dynamics


Jun 30, 2021
Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez

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DiBS: Differentiable Bayesian Structure Learning


May 25, 2021
Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf, Andreas Krause

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Incorporating Interpretable Output Constraints in Bayesian Neural Networks


Oct 21, 2020
Wanqian Yang, Lars Lorch, Moritz A. Graule, Himabindu Lakkaraju, Finale Doshi-Velez

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* 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada. Code available at: https://github.com/dtak/ocbnn-public 

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A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment


Apr 24, 2020
Lars Lorch, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez

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* Refined model; includes effective reproduction number; includes narrowcasting; more citations; minor changes/fixes 

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Output-Constrained Bayesian Neural Networks


May 15, 2019
Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez

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* Presented at the ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning and Workshop on Understanding and Improving Generalization in Deep Learning. Long Beach, CA, 2019 

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Stochastic Optimal Control of Epidemic Processes in Networks


Oct 30, 2018
Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez

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