Publications

Frank Cichos, Santiago Mui�os Landin, und Ravi Pradip. Chapter 5 - Artificial intelligence (AI) enhanced nanomotors and active matter. In Yuebing Zheng, und Zilong Wu (Hrsg.), Intelligent Nanotechnology, 113--144, Elsevier, 2023. [PUMA: Active Feedback Machine Multi Optical Reinforcement agent control control, learning, particles, reinforcement] URL

Giovanni Volpe, Carolina W�hlby, Lei Tian, Michael Hecht, Artur Yakimovich, Kristina Monakhova, Laura Waller, Ivo F. Sbalzarini, Christopher A. Metzler, Mingyang Xie, Kevin Zhang, Isaac C. D. Lenton, Halina Rubinsztein-Dunlop, Daniel Brunner, Bijie Bai, Aydogan Ozcan, Daniel Midtvedt, Hao Wang, Nata�a Sladoje, Joakim Lindblad, Jason T. Smith, Marien Ochoa, Margarida Barroso, Xavier Intes, Tong Qiu, Li-Yu Yu, Sixian You, Yongtao Liu, Maxim A. Ziatdinov, Sergei V. Kalinin, Arlo Sheridan, Uri Manor, Elias Nehme, Ofri Goldenberg, Yoav Shechtman, Henrik K. Moberg, Christoph Langhammer, Barbora �pa?kov�, Saga Helgadottir, Benjamin Midtvedt, Aykut Argun, Tobias Thalheim, Frank Cichos, Stefano Bo, Lars Hubatsch, Jesus Pineda, Carlo Manzo, Harshith Bachimanchi, Erik Selander, Antoni Homs-Corbera, Martin Fr�nzl, Kevin de Haan, Yair Rivenson, Zofia Korczak, Caroline Beck Adiels, Mite Mijalkov, D�niel Ver�b, Yu-Wei Chang, Joana B. Pereira, Damian Matuszewski, Gustaf Kylberg, Ida-Maria Sintorn, Juan C. Caicedo, Beth A Cimini, Muyinatu A. Lediju Bell, Bruno M. Saraiva, Guillaume Jacquemet, Ricardo Henriques, Wei Ouyang, Trang Le, Estibaliz G�mez de Mariscal, Daniel Sage, Arrate Mu�oz-Barrutia, Ebba Josefson Lindqvist, und Johanna Bergman. Roadmap on Deep Learning for Microscopy. 2023. [PUMA: imported] URL

Johannes Pahlke, und Ivo Sbalzarini. Proven Distributed Memory Parallelization of Particle Methods. ACM Trans. Parallel Comput., Association for Computing Machinery, New York, NY, USA, 18.09.2024. [PUMA: algorithmics, algorithms, bounds, definition, distributed engineering formal memory, meshfree methods, parallelization, particle scalability simulation software] URL

Suryanarayana Maddu, Bevan L. Cheeseman, Ivo F. Sbalzarini, und Christian L. Müller. Stability selection enables robust learning of partial differential equations from limited noisy data. arXiv, 2019. [PUMA: (cs.LG), (math.NA), (physics.data-an), Analysis Analysis, Computer Data FOS: Learning Machine Mathematics, Numerical Physical Probability Statistics and information sciences sciences,] URL

Tina Subic, und Ivo F. Sbalzarini. A Gaussian jump process formulation of the reaction�diffusion master equation enables faster exact stochastic simulations. The Journal of Chemical Physics, (157)19AIP Publishing, November 2022. [PUMA: imported] URL

Robert Haase, Christian Tischer, Jean-Karim H�rich�, und Nico Scherf. Benchmarking Large Language Models for Bio-Image Analysis Code Generation. Cold Spring Harbor Laboratory, April 2024. [PUMA: imported] URL

Mateusz Susik, und Ivo F. Sbalzarini. Variational inference accelerates accurate DNA mixture deconvolution. Forensic Science International: Genetics, (65):102890, Elsevier BV, Juli 2023. [PUMA: imported] URL

Huw Colin?York, John Heddleston, Eric Wait, Narain Karedla, Michael deSantis, Satya Khuon, Teng?Leong Chew, Ivo F. Sbalzarini, und Marco Fritzsche. Quantifying Molecular Dynamics within Complex Cellular Morphologies using LLSM?FRAP (Small Methods 6/2022). Small Methods, (6)6Wiley, Juni 2022. [PUMA: imported] URL

Sarah Perez, Suryanarayana Maddu, Ivo F. Sbalzarini, und Philippe Poncet. Adaptive weighting of Bayesian physics informed neural networks for multitask and multiscale forward and inverse problems. J. Comput. Phys., (491):112342, 2023. [PUMA: imported]

Mateusz Susik, Holger Schönborn, und Ivo F. Sbalzarini. Hamiltonian Monte Carlo with strict convergence criteria reduces run-to-run variability in forensic DNA mixture deconvolution. Forensic Science International: Genetics, (60):102744, Elsevier BV, September 2022. [PUMA: imported] URL

Mateusz Susik, und Ivo F. Sbalzarini. Analysis of the Hamiltonian Monte Carlo genotyping algorithm on PROVEDIt mixtures including a novel precision benchmark. Forensic Science International: Genetics, (64):102840, 2023. [PUMA: DNA HMC Probabilistic Validation, genotyping, mixtures,] URL

Aryaman Gupta, Ulrik Günther, Pietro Incardona, Guido Reina, Steffen Frey, Stefan Gumhold, und Ivo F. Sbalzarini. Efficient Raycasting of Volumetric Depth Images for Remote Visualization of Large Volumes at High Frame Rates. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), (19):61�70, IEEE, April 2023. [PUMA: imported] URL

Nesrine Khouzami, Friedrich Michel, Pietro Incardona, Jeronimo Castrillon, und Ivo F. Sbalzarini. Model-based autotuning of discretization methods in numerical simulations of partial differential equations. Journal of Computational Science, (57):101489, Elsevier BV, Januar 2022. [PUMA: imported] URL

Abhinav Singh, Philipp H. Suhrcke, Pietro Incardona, und Ivo F. Sbalzarini. A numerical solver for active hydrodynamics in three dimensions and its application to active turbulence. Physics of Fluids, (35)10AIP Publishing, Oktober 2023. [PUMA: imported] URL

Nikola Milosevic, Gesine M�ller, Jan Huisken, und Nico Scherf. Open Problem: Active Representation Learning. 2024. [PUMA: imported] URL

Abhinav Singh, Quentin Vagne, Frank Jülicher, und Ivo F. Sbalzarini. Spontaneous flow instabilities of active polar fluids in three dimensions. Phys. Rev. Res., (5)2:L022061, American Physical Society, Juni 2023. [PUMA: imported] URL

Abhinav Singh, Landfried Kraatz, Pietro Incardona, und Ivo F. Sbalzarini. A Distributed Algebra System for Time Integration on Parallel Computers. CoRR, (abs/2309.05331)2023. [PUMA: imported]

Pietro Incardona, Aryaman Gupta, Serhii Yaskovets, und Ivo F. Sbalzarini. A portable C++ library for memory and compute abstraction on multi?core CPUs and GPUs. Concurrency and Computation: Practice and Experience, (35)25Wiley, Juli 2023. [PUMA: imported] URL

Charlotte Beylier, Simon M. Hofmann, und Nico Scherf. Revealing the learning process in reinforcement learning agents through attention-oriented metrics. 2024. [PUMA: imported] URL

Karen G. Soans, Ana Patricia Ramos, Jaydeep Sidhaye, Abhijeet Krishna, Anastasia Solomatina, Karl B. Hoffmann, Raimund Schl��ler, Jochen Guck, Ivo F. Sbalzarini, Carl D. Modes, und Caren Norden. Collective cell migration during optic cup formation features changing cell-matrix interactions linked to matrix topology. Current Biology, (32)22:4817--4831.e9, 2022. [PUMA: cell collective cup, matrix migration, optic simulation topology topology, zebrafish,] URL