Items where Project is "SODA"

Article

Kreikemeyer, Justin N. and Andelfinger, Philipp (2023) Smoothing Methods for Automatic Differentiation Across Conditional Branches. IEEE Access, 11, pp. 143190-143211. ISSN 2169-3536.

Tan, Wen Jun and Andelfinger, Philipp and Cai, Wentong and Eckhoff, David and Knoll, Alois (2023) Spatial iterative coordination for parallel simulation-based optimization of large-scale traffic signal control. Simulation: Transactions of the Society for Modeling and Simulation International, ISSN 0037-5497 (online 1741-3133).

Andelfinger, Philipp (2022) Towards Differentiable Agent-Based Simulation. ACM Transactions on Modeling and Computer Simulation, 32 (4), pp. 1-26. ISSN 1049-3301.

Conference or Workshop Item

Andelfinger, Philipp and Kreikemeyer, Justin N. (2024) Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making. In: 24th International Conference on Computational Science (ICCS 2024), 02-04 Jul 2024, Málaga, Spain. Proceedings, published by Springer Nature Switzerland, Cham, pp. 227-241.

Kreikemeyer, Justin N. and Andelfinger, Philipp and Uhrmacher, Adelinde M. (2024) Towards Learning Stochastic Population Models by Gradient Descent. In: 38th ACM SIGSIM Principles of Advanced Discrete Simulation (PADS 2024), 24-26 Jun 2024, Atlanta, Georgia, USA. Proceedings, published by Association for Computing Machinery (ACM), New York, NY USA, pp. 88-92.

Andelfinger, Philipp (2021) Differentiable Agent-Based Simulation for Gradient-Guided Simulation-Based Optimization. In: 2021 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (SIGSIM-PADS'21), 31 May - 02 June, Suffolk, Virginia, USA. Proceedings, published by Association for Computing Machinery (ACM), New York, NY, USA, pp. 27-38.

Thesis

Kreikemeyer, Justin N. (2023) Tensor-Based Smooth Execution of Stochastic Agent-Based Simulations. Masters thesis, Institute for Visual and Analytic Computing, University of Rostock.

Trad, Lorka (2023) Characterizing Objective Functions in Simulation Optimization using Agent-Based Models. Bachelor thesis, Institute for Visual and Analytic Computing, University of Rostock.

Beier, Mathes (2022) Differentiable Modeling of Traffic Signals for Gradient-based Parameter Optimization in Microscopic Traffic Simulations. Bachelor thesis, Institute for Visual and Analytic Computing, University of Rostock.