Directionality-aware design of embroidery patterns
Z. Liu, M. Piovarci, C. Hafner, R. Charrondiere, B. Bickel, Computer Graphics Forum 42 (2023) 397–409.

Skin-Screen: A computational fabrication framework for color tattoos
M. Piovarci, A. Chapiro, B. Bickel, ACM Transactions on Graphics 42 (2023).

The effect of display capabilities on the gloss consistency between real and virtual objects
B. Chen, A. Jindal, M. Piovarci, C. Wang, H.P. Seidel, P. Didyk, K. Myszkowski, A. Serrano, R.K. Mantiuk, in:, Proceedings of the SIGGRAPH Asia 2023 Conference, Association for Computing Machinery, 2023.

Computing the volume, surface area, mean, and Gaussian curvatures of molecules and their derivatives
P. Koehl, A. Akopyan, H. Edelsbrunner, Journal of Chemical Information and Modeling 63 (2023) 973–985.

Discrete analytical objects in the body-centered cubic grid
L. comi, G. Largeteau-Skapin, R. Zrour, R. Biswas, E. Andres, Pattern Recognition 142 (2023).

Slower-X: Reduced efficiency of selection in the early stages of X chromosome evolution
A. Mrnjavac, K. Khudiakova, N.H. Barton, B. Vicoso, Evolution Letters 7 (2023).

Concentration without independence via information measures

Fundamental limits in structured principal component analysis and how to reach them
J. Barbier, F. Camilli, M. Mondelli, M. Sáenz, Proceedings of the National Academy of Sciences of the United States of America 120 (2023).

Approximate message passing for multi-layer estimation in rotationally invariant models
Y. Xu, T.Q. Hou, S.S. Liang, M. Mondelli, in:, 2023 IEEE Information Theory Workshop, Institute of Electrical and Electronics Engineers, 2023, pp. 294–298.

Beyond the universal law of robustness: Sharper laws for random features and neural tangent kernels
S. Bombari, S. Kiyani, M. Mondelli, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 2738–2776.

Deep neural collapse is provably optimal for the deep unconstrained features model
P. Súkeník, M. Mondelli, C. Lampert, in:, 37th Annual Conference on Neural Information Processing Systems, 2023.

Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence
D. Wu, V. Kungurtsev, M. Mondelli, in:, Transactions on Machine Learning Research, ML Research Press, 2023.

Compact vacuum-gap transmon qubits: Selective and sensitive probes for superconductor surface losses
M. Zemlicka, E. Redchenko, M. Peruzzo, F. Hassani, A. Trioni, S. Barzanjeh, J.M. Fink, Physical Review Applied 20 (2023).

Extensive de novo activity stabilizes epigenetic inheritance of CG methylation in Arabidopsis transposons
D.B. Lyons, A. Briffa, S. He, J. Choi, E. Hollwey, J. Colicchio, I. Anderson, X. Feng, M. Howard, D. Zilberman, Cell Reports 42 (2023).

Millennia-long epigenetic fluctuations generate intragenic DNA methylation variance in Arabidopsis populations
A. Briffa, E. Hollwey, Z. Shahzad, J.D. Moore, D.B. Lyons, M. Howard, D. Zilberman, Cell Systems 14 (2023) 953–967.

Inductively shunted transmons exhibit noise insensitive plasmon states and a fluxon decay exceeding 3 hours
F. Hassani, M. Peruzzo, L. Kapoor, A. Trioni, M. Zemlicka, J.M. Fink, Nature Communications 14 (2023).

Coherent optical control of a superconducting microwave cavity via electro-optical dynamical back-action
L. Qiu, R. Sahu, W.J. Hease, G.M. Arnold, J.M. Fink, Nature Communications 14 (2023).

Cavity quantum electrooptics

Cavity quantum electrooptics

Diagrammatic Monte Carlo for electronic correlation in molecules: High-order many-body perturbation theory with low scaling
G. Bighin, Q.P. Ho, M. Lemeshko, T.V. Tscherbul, Physical Review B 108 (2023).