Dynamical classification of analytic one-frequency quasi-periodic SO(3,R)-cocycles
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Multipotent progenitors instruct ontogeny of the superior colliculus
G.T. Cheung, F. Pauler, P. Koppensteiner, T. Krausgruber, C. Streicher, M. Schrammel, N.Y. Özgen, A. Ivec, C. Bock, R. Shigemoto, S. Hippenmeyer, Neuron 112 (2024) 230–246.e11.

Protocol for sorting cells from mouse brains labeled with mosaic analysis with double markers by flow cytometry
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Lift-out cryo-FIBSEM and cryo-ET reveal the ultrastructural landscape of extracellular matrix
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Structure, biophysics, and circuit function of a "giant" cortical presynaptic terminal
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New methods for applying topological data analysis to materials science
T. Heiss, New Methods for Applying Topological Data Analysis to Materials Science, Institute of Science and Technology Austria, 2024.

A discovery tour in random Riemannian geometry
L. Dello Schiavo, E. Kopfer, K.T. Sturm, Potential Analysis 61 (2024) 501–553.

Discrete-to-continuum limits of optimal transport with linear growth on periodic graphs
L. Portinale, F. Quattrocchi, European Journal of Applied Mathematics (2024) 1–29.

Conformally invariant random fields, Liouville quantum gravity measures, and random Paneitz operators on Riemannian manifolds of even dimension
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Stochastic homogenization of micromagnetic energies and emergence of magnetic skyrmions
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Improved convergence of score-based diffusion models via prediction-correction
F. Pedrotti, J. Maas, M. Mondelli, in:, Transactions on Machine Learning Research, 2024.

Local conditions for global convergence of gradient flows and proximal point sequences in metric spaces
L. Dello Schiavo, J. Maas, F. Pedrotti, Transactions of the American Mathematical Society 377 (2024) 3779–3804.

Improved convergence of score-based diffusion models via prediction-correction
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Heat flow, log-concavity, and Lipschitz transport maps
G. Brigati, F. Pedrotti, ArXiv (n.d.).

Broadcast and Consensus in stochastic dynamic networks with Byzantine nodes and adversarial edges
A. El-Hayek, M. Henzinger, S. Schmid, in:, 38th International Symposium on Distributed Computing, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.

Private counting of distinct elements in the turnstile model and extensions
M. Henzinger, A.R. Sricharan, T.A. Steiner, in:, International Conference on Approximation Algorithms for Combinatorial Optimization Problems , Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.

Fully dynamic k-means coreset in near-optimal update time
M.D. La Tour, M. Henzinger, D. Saulpic, in:, 32nd Annual European Symposium on Algorithms, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.

Data-efficient learning via clustering-based sensitivity sampling: Foundation models and beyond
K. Axiotis, V. Cohen-Addad, M. Henzinger, S. Jerome, V. Mirrokni, D. Saulpic, D.P. Woodruff, M. Wunder, in:, Proceedings of the 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 2086–2107.

A unifying framework for differentially private sums under continual observation
M. Henzinger, J. Upadhyay, S. Upadhyay, in:, Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms, Society for Industrial and Applied Mathematics, 2024, pp. 995–1018.

Experimental evaluation of fully dynamic k-means via coresets
M. Henzinger, D. Saulpic, L. Sidl, in:, 2024 Proceedings of the Symposium on Algorithm Engineering and Experiments, Society for Industrial and Applied Mathematics, 2024, pp. 220–233.