Publications

Weizhou Luo, Zhongyuan Yu, Rufat Rzayev, Marc Satkowski, Stefan Gumhold, Matthew McGinity, and Raimund Dachselt. PEARL: Physical Environment based Augmented Reality Lenses for In-Situ Human Movement Analysis. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 381Association for Computing Machinery, New York, NY, USA, April 2023. [PUMA: Analytics Immersive In-situ affordance analysis augmented/mixed data movement physical reality referents visualization] URL

Nishant Kumar, Siniša Šegvić, Abouzar Eslami, and Stefan Gumhold. Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection. 2023. [PUMA: Detection Feature Flow Normalizing Object Outlier-Aware Synthesis] URL

David Groß, Michaela Klauck, Timo P. Gros, Marcel Steinmetz, Jörg Hoffmann, and Stefan Gumhold. Glyph-Based Visual Analysis of Q-Leaning Based Action Policy Ensembles on Racetrack. In Ebad Banissi, Anna Ursyn, Mark W. McK. Bannatyne, João Moura Pires, Nuno Datia, Kawa Nazemi, Boris Kovalerchuk, Razvan Andonie, Minoru Nakayama, Filippo Sciarrone, Weidong Huang, Quang Vinh Nguyen, Mabule Samuel Mabakane, Adrian Rusu, Marco Temperini, Urska Cvek, Marjan Trutschl, Heimo Müller, Harri Siirtola, Wai Lok Woo, Rita Francese, Veronica Rossano, Tania Di Mascio, Fatma Bouali, Gilles Venturini, Sebastian Kernbach, Delfina Malandrino, Rocco Zaccagnino, Jian J. Zhang, Xiaosong Yang, and Vladimir Geroimenko (Eds.), 26th International Conference Information Visualisation, IV 2022, Vienna, Austria, July 19-22, 2022, 1--10, IEEE, 2022. [PUMA: Action Analysis Based Glyph-Based Policy Q-Leaning Racetrack Visual] URL

Timo P. Gros, David Groß, Stefan Gumhold, Jörg Hoffmann, Michaela Klauck, and Marcel Steinmetz. TraceVis: Towards Visualization for Deep Statistical Model Checking. Leveraging Applications of Formal Methods, Verification and Validation: Tools and Trends: 9th International Symposium on Leveraging Applications of Formal Methods, ISoLA 2020, Rhodes, Greece, October 20–30, 2020, Proceedings, Part IV, 27–46, Springer-Verlag, Berlin, Heidelberg, 2020. [PUMA: Checking Model Networks Neural Statistical Visualization] URL

Ostap Okhrin, and Alexander Ristig. Penalized estimation of hierarchical Archimedean copula. J. Multivar. Anal., (201)CAcademic Press, Inc., USA, July 2024. [PUMA: 62G07 62H12 Archimedean Hierarchical Maximum Stage-wise copula estimation likelihood] URL

Christian Genest, Ostap Okhrin, and Taras Bodnar. Copula modeling from Abe Sklar to the present day. J. Multivar. Anal., (201)CAcademic Press, Inc., USA, July 2024. [PUMA: 62G32 62H05 62H10 62H12 62H15 62H20 Copula Dependence modeling models] URL

Martin Waltz, Ostap Okhrin, and Michael Schultz. Self-organized free-flight arrival for urban air mobility. Transportation Research Part C: Emerging Technologies, (167):104806, 2024. [PUMA: Deep Urban air eVTOL learning mobility reinforcement] URL

Jing Zou, Martin Odening, and Ostap Okhrin. Plant growth stages and weather index insurance design. Annals of actuarial science, 438--458, 2023. [PUMA: Plant design growth index insurance stages; weather]

Fabian Hart, and Ostap Okhrin. Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk. Neurocomputing, (568):127097, 2024. [PUMA: Collision Dynamic Reinforcement Training avoidance environment learning metric obstacle risk] URL

Ostap Okhrin, Michael Rockinger, and Manuel Schmid. Simulating the Cox--Ingersoll--Ross and Heston processes: matching the first four moments. J. Comput. Finance, Infopro Digital Services Limited, 2022. [PUMA: Cox--Ingersoll--Ross Heston Simulating processes]

Ostap Okhrin, Michael Rockinger, and Manuel Schmid. Distributional properties of continuous time processes: from CIR to bates. AStA Advances in Statistical Analysis, (107)3:397-419, September 2023. [PUMA: CIR Distributional Higher Jump Squar Stochastic diffusion moments process properties volatility] URL

Nikolaus Hautsch, Ostap Okhrin, and Alexander Ristig. Maximum-Likelihood Estimation Using the Zig-Zag Algorithm. Journal of Financial Econometrics, (21)4:1346-1375, 2023. [PUMA: Bitcoin Gauß–Seidel conditional correlation dynamic efficient estimation iterative] URL

Dianzhao Li, and Ostap Okhrin. Vision-Based DRL Autonomous Driving Agent with Sim2Real Transfer. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 866-873, 2023. [PUMA: Automobiles Autonomous Measurement Reinforcement Statistical Task Videos analysis learning vehicles]

Fabian Hart, Ostap Okhrin, and Martin Treiber. Vessel-following model for inland waterways based on deep reinforcement learning. Ocean Eng., (281)114679:114679, Elsevier BV, August 2023. [PUMA: Vessel-following deep inland learning model reinforcement waterways]

Martin Waltz, and Ostap Okhrin. Spatial–temporal recurrent reinforcement learning for autonomous ships. Neural Networks, (165):634-653, 2023. [PUMA: Autonomous COLREG Deep Recurrency, learning, reinforcement surface vehicle] URL

Niklas Paulig, and Ostap Okhrin. Robust path following on rivers using bootstrapped reinforcement learning. Ocean Engineering, (298):117207, 2024. [PUMA: Autonomous Deep Path Restricted following; learning; reinforcement surface vessel waterways] URL

Fabian Hart, Ostap Okhrin, and Martin Treiber. Towards robust car-following based on deep reinforcement learning. Transportation Research Part C: Emerging Technologies, (159):104486, 2024. [PUMA: Car-following; Generalization; Reinforcement; String Validation; capabilities; learning; model; stability]

Chiara Molinari, Leonardo Solaini, Francesca Rebuzzi, Gianluca Tedaldi, Davide Angeli, Elisabetta Petracci, Dusan Prascevic, Jan Ewald, Erhard Rahm, Matteo Canale, Martinelli Giovanni, Anna Tomezzoli, Maria Bencivenga, Maria Raffaella Ambrosio, Daniele Marrelli, Paolo Morgagni, Giorgio Ercolani, Paola Ulivi, and Luca Saragoni. Genomic events stratifying prognosis of early gastric cancer. Gastric Cancer, (27)6:1189--1200, Springer Science and Business Media LLC, November 2024. [PUMA: ARID1A EGC; LRP1B Pen; Prognosis]

Jan Ewald, Ziyang He, Wassili Dimitriew, and Stefan Schuster. Including glutamine in a resource allocation model of energy metabolism in cancer and yeast cells. NPJ Syst. Biol. Appl., (10)1:77, Springer Science and Business Media LLC, July 2024. [PUMA: allocation cancer cells cells; energy glutamine; metabolism; mode; resource yeast]

Anika Hannemann, Jan Ewald, Leo Seeger, and Erik Buchmann. Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs. Computational Science – ICCS 2024: 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, Part IV, 279–293, Springer-Verlag, Berlin, Heidelberg, 2024. [PUMA: Cell Classification, Disease Federated Learning, Prognosis Type] URL