T. C. T. Michaels, D. Qian, A. Sari, M. Vendruscolo, S. Linse, and T. P. J. Knowles, “Amyloid formation as a protein phase transition,” Nature Reviews Physics, vol. 5. Springer Nature, pp. 379–397, 2023.

S. Shamipour, L. Hofmann, I. Steccari, R. Kardos, and C.-P. J. Heisenberg, “Yolk granule fusion and microtubule aster formation regulate cortical granule translocation and exocytosis in zebrafish oocytes,” PLoS Biology, vol. 21, no. 6. Public Library of Science, p. e3002146, 2023.

G. M. Grosjean and S. R. Waitukaitis, “Asymmetries in triboelectric charging: Generalizing mosaic models to different-material samples and sliding contacts,” Physical Review Materials, vol. 7, no. 6. American Physical Society, 2023.

J. A. Charlton, W. F. Mlynarski, Y. H. Bai, A. M. Hermundstad, and R. L. T. Goris, “Environmental dynamics shape perceptual decision bias,” PLoS Computational Biology, vol. 19, no. 6. Public Library of Science, 2023.

D. Dormeshkin et al., “Design and immunogenicity of SARS-CoV-2 DNA vaccine encoding RBD-PVXCP fusion protein,” Vaccines, vol. 11, no. 6. MDPI, 2023.

Y. Liu et al., “Surface chemistry and band engineering in AgSbSe: Toward high thermoelectric performance,” ACS Nano, vol. 17, no. 12. American Chemical Society, pp. 11923–11934, 2023.

M. Schörner et al., “X-ray Thomson scattering spectra from density functional theory molecular dynamics simulations based on a modified Chihara formula,” Physical Review E, vol. 107, no. 6. American Physical Society, 2023.

S. Agafonova, M. Lemeshko, and A. Volosniev, “Finite-range bias in fitting three-body loss to the zero-range model,” Physical Review A, vol. 107, no. 6. American Physical Society, 2023.

B. B. GOSWAMI and S. I. An, “An assessment of the ENSO-monsoon teleconnection in a warming climate,” npj Climate and Atmospheric Science, vol. 6. Springer Nature, 2023.

C. de Castro Barbosa Rodrigues Barata, R. R. Snook, M. G. Ritchie, and C. Kosiol, “Selection on the fly: Short-term adaptation to an altered sexual selection regime in Drosophila pseudoobscura,” Genome biology and evolution, vol. 15, no. 7. Oxford Academic, 2023.

D. Huber et al., “Asteroseismology with the Roman galactic bulge time-domain survey,” arXiv. .

E.-A. Peste, “Efficiency and generalization of sparse neural networks,” Institute of Science and Technology Austria, 2023.

P. Brighi, M. Ljubotina, D. A. Abanin, and M. Serbyn, “Many-body localization proximity effect in a two-species bosonic Hubbard model,” Physical Review B, vol. 108, no. 5. American Physical Society, 2023.

G. Bighin, Q. P. Ho, M. Lemeshko, and T. V. Tscherbul, “Diagrammatic Monte Carlo for electronic correlation in molecules: High-order many-body perturbation theory with low scaling,” Physical Review B, vol. 108, no. 4. American Physical Society, 2023.

A. Madani, E. T. Sletten, C. Cavedon, P. H. Seeberger, and B. Pieber, “Visible-light-mediated oxidative debenzylation of 3-O-Benzyl-1,2:5,6-di-O-isopropylidene-;1-D-glucofuranose,” Organic Syntheses, vol. 100. Organic Syntheses, pp. 271–286, 2023.

B. E. Casillas Perez, K. Bodova, A. V. Grasse, G. Tkadik, and S. Cremer, “Dynamic pathogen detection and social feedback shape collective hygiene in ants,” Nature Communications, vol. 14. Springer Nature, 2023.

S. Cremer, “Data from: ‘Dynamic pathogen detection and social feedback shape collective hygiene in ants’ .” Institute of Science and Technology Austria, 2023.

M. Wirth and H. Zhang, “Curvature-dimension conditions for symmetric quantum Markov semigroups,” Annales Henri Poincare, vol. 24. Springer Nature, pp. 717–750, 2023.

M. Dymond and V. Kaluza, “Highly irregular separated nets,” Israel Journal of Mathematics, vol. 253. Springer Nature, pp. 501–554, 2023.

L. Zhang et al., “Two-step post-treatment to deliver high performance thermoelectric device with vertical temperature gradient,” Applied Surface Science, vol. 613. Elsevier, 2023.

N. Clozeau, “Optimal decay of the parabolic semigroup in stochastic homogenization  for correlated coefficient fields,” Stochastics and Partial Differential Equations: Analysis and Computations, vol. 11. Springer Nature, pp. 1254–1378, 2023.

G. Cipolloni, L. Erdös, and D. J. Schröder, “Quenched universality for deformed Wigner matrices,” Probability Theory and Related Fields, vol. 185. Springer Nature, pp. 1183–1218, 2023.

S. Wang et al., “Fine tuning of defects enables high carrier mobility and enhanced thermoelectric performance of n-type PbTe,” Chemistry of Materials, vol. 35, no. 2. American Chemical Society, pp. 755–763, 2023.

A. M. Arroyo Guevara, F. Klute, I. Parada, B. Vogtenhuber, R. Seidel, and T. Wiedera, “Inserting one edge into a simple drawing is hard,” Discrete and Computational Geometry, vol. 69. Springer Nature, pp. 745–770, 2023.

V. Aksenov, D.-A. Alistarh, A. Drozdova, and A. Mohtashami, “The splay-list: A distribution-adaptive concurrent skip-list,” Distributed Computing, vol. 36. Springer Nature, pp. 395–418, 2023.

D. Shipilina, A. Pal, S. Stankowski, Y. F. Chan, and N. H. Barton, “On the origin and structure of haplotype blocks,” Molecular Ecology, vol. 32, no. 6. Wiley, pp. 1441–1457, 2023.

D. F. Gauto et al., “Aromatic ring flips in differently packed ubiquitin protein crystals from MAS NMR and MD,” Journal of Structural Biology: X, vol. 7. Elsevier, 2023.

M. Loose, A. Auer, G. Brognara, H. R. Budiman, L. M. Kowalski, and I. Matijevic, “In vitro reconstitution of small GTPase regulation,” FEBS Letters, vol. 597, no. 6. Wiley, pp. 762–777, 2023.

M. A. Baig, D. Hendler, A. Milani, and C. Travers, “Long-lived counters with polylogarithmic amortized step complexity,” Distributed Computing, vol. 36. Springer Nature, pp. 29–43, 2023.

B. Khatoon, S. Kamil, H. Babu, and M. Siraj Alam, “Experimental analysis of Cascade CSTRs with step and pulse inputs,” Materials Today: Proceedings, vol. 78, no. Part 1. Elsevier, pp. 40–47, 2023.

I. Ortiz-Leal et al., “The olfactory limbus of the red fox (Vulpes vulpes). New insights regarding a noncanonical olfactory bulb pathway,” Frontiers in Neuroanatomy, vol. 16. Frontiers, 2023.

C. Boccato and R. Seiringer, “The Bose Gas in a box with Neumann boundary conditions,” Annales Henri Poincare, vol. 24. Springer Nature, pp. 1505–1560, 2023.

P. Koehl, A. Akopyan, and H. Edelsbrunner, “Computing the volume, surface area, mean, and Gaussian curvatures of molecules and their derivatives,” Journal of Chemical Information and Modeling, vol. 63, no. 3. American Chemical Society, pp. 973–985, 2023.

M. Stock et al., “Pathogen evasion of social immunity,” Nature Ecology and Evolution, vol. 7. Springer Nature, pp. 450–460, 2023.

A. Mrnjavac, K. Khudiakova, N. H. Barton, and B. Vicoso, “Slower-X: Reduced efficiency of selection in the early stages of X chromosome evolution,” Evolution Letters, vol. 7, no. 1. Oxford University Press, 2023.

S. Hippenmeyer, “Principles of neural stem cell lineage progression: Insights from developing cerebral cortex,” Current Opinion in Neurobiology, vol. 79, no. 4. Elsevier, 2023.

A. Agresti, N. Lindemulder, and M. Veraar, “On the trace embedding and its applications to evolution equations,” Mathematische Nachrichten, vol. 296, no. 4. Wiley, pp. 1319–1350, 2023.

M. Falconi, N. K. Leopold, D. J. Mitrouskas, and S. P. Petrat, “Bogoliubov dynamics and higher-order corrections for the regularized Nelson model,” Reviews in Mathematical Physics, vol. 35, no. 4. World Scientific Publishing, 2023.

F. Lombardi, S. Pepic, O. Shriki, G. Tkadik, and D. De Martino, “Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain,” Nature Computational Science, vol. 3. Springer Nature, pp. 254–263, 2023.

G. Goranci and M. H. Henzinger, “Efficient data structures for incremental exact and approximate maximum flow,” in 50th International Colloquium on Automata, Languages, and Programming, Paderborn, Germany, 2023, vol. 261.

D. G. Harris and V. Kolmogorov, “Parameter estimation for Gibbs distributions,” in 50th International Colloquium on Automata, Languages, and Programming, Paderborn, Germany, 2023, vol. 261.

M. H. Henzinger, P. Liu, J. Vondrák, and D. W. Zheng, “Faster submodular maximization for several classes of matroids,” in 50th International Colloquium on Automata, Languages, and Programming, Paderborn, Germany, 2023, vol. 261.

N. Resch, C. Yuan, and Y. Zhang, “Zero-rate thresholds and new capacity bounds for list-decoding and list-recovery,” in 50th International Colloquium on Automata, Languages, and Programming, Paderborn, Germany, 2023, vol. 261.

G. M. Grosjean and S. R. Waitukaitis, “Single-collision statistics reveal a global mechanism driven by sample history for contact electrification in granular media,” Physical Review Letters, vol. 130, no. 9. American Physical Society, 2023.

R. Sahu, “Cavity quantum electrooptics,” Institute of Science and Technology Austria, 2023.

R. Sahu, “Cavity quantum electrooptics,” Institute of Science and Technology Austria, 2023.

M. Lechner, D. Zikelic, K. Chatterjee, T. A. Henzinger, and D. Rus, “Quantization-aware interval bound propagation for training certifiably robust quantized neural networks,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, United States, 2023, vol. 37, no. 12, pp. 14964–14973.

G. Avni, I. R. Jecker, and D. Zikelic, “Bidding graph games with partially-observable budgets,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, United States, 2023, vol. 37, no. 5, pp. 5464–5471.

K. Tojo, A. Shamir, B. Bickel, and N. Umetani, “Stealth shaper: Reflectivity optimization as surface stylization,” in SIGGRAPH 2023 Conference Proceedings, Los Angeles, CA, United States, 2023.

D. R. Ladle and S. Hippenmeyer, “Loss of ET/E in motor neurons leads to reduced monosynaptic inputs from proprioceptive sensory neurons,” Journal of Neurophysiology, vol. 129, no. 3. American Physiological Society, pp. 501–512, 2023.

T. A. Henzinger, M. Karimi, K. Kueffner, and K. Mallik, “Monitoring algorithmic fairness,” in Computer Aided Verification, Paris, France, 2023, vol. 13965, pp. 358–382.

J. Glajzer et al., “Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome and patient survival in primary and recurrent high-grade serous ovarian cancer: A multicenter retrospective study by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) consortium,” Annals of Surgical Oncology, vol. 30. Springer Nature, pp. 35–45, 2023.

J. Glajzer et al., “ASO Visual Abstract: Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome, and patient survival in primary and recurrent high-grade serous ovarian cancer (HGSOC). A multicenter, retrospective study of the ovarian cancer therapy—innovative models prolong survival (OCTIPS) consortium,” Annals of Surgical Oncology, vol. 30. Springer Nature, pp. 46–47, 2023.

N. C. Vierra et al., “Neuronal ER-plasma membrane junctions couple excitation to C+-activated PKA signaling,” Nature Communications, vol. 14. Springer Nature, 2023.

J. Kretinsky, T. Meggendorfer, M. Prokop, and S. Rieder, “Guessing winning policies in LTL synthesis by semantic learning,” in 35th International Conference on Computer Aided Verification , Paris, France, 2023, vol. 13964, pp. 390–414.

S. Sinha, P. Gehler, F. Locatello, and B. Schiele, “TeST: Test-time Self-Training under distribution shift,” in 2023 IEEE/CVF Winter Conference on Applications of Computer Vision, Waikoloa, HI, United States, 2023.

S. Mathis and L. A. Bugnet, “Asymmetries of frequency splittings of dipolar mixed modes: A window on the topology of deep magnetic fields,” Astronomy and Astrophysics, vol. 676. EDP Sciences, 2023.

Z. Zhu, F. Liu, G. G. Chrysos, F. Locatello, and V. Cevher, “Benign overfitting in deep neural networks under lazy training,” in Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, United States, 2023, vol. 202, pp. 43105–43128.

M. F. Burg et al., “A data augmentation perspective on diffusion models and retrieval,” arXiv. .

F. Montagna, N. Noceti, L. Rosasco, K. Zhang, and F. Locatello, “Causal discovery with score matching on additive models with arbitrary noise,” in 2nd Conference on Causal Learning and Reasoning, Tübingen, Germany, 2023.

F. Montagna, N. Noceti, L. Rosasco, K. Zhang, and F. Locatello, “Scalable causal discovery with score matching,” in 2nd Conference on Causal Learning and Reasoning, Tübingen, Germany, 2023.

Y. Liu et al., “Causal triplet: An open challenge for intervention-centric causal representation learning,” in 2nd Conference on Causal Learning and Reasoning, Tübingen, Germany, 2023.

L. Moschella, V. Maiorca, M. Fumero, A. Norelli, F. Locatello, and E. Rodolà, “Relative representations enable zero-shot latent space communication,” in The 11th International Conference on Learning Representations, Kigali, Rwanda, 2023.

M. Tangemann et al., “Unsupervised object learning via common fate,” in 2nd Conference on Causal Learning and Reasoning, Tübingen, Germany, 2023.

M. Seitzer et al., “Bridging the gap to real-world object-centric learning,” in The 11th International Conference on Learning Representations, Kigali, Rwanda, 2023.

A. Zadaianchuk, M. Kleindessner, Y. Zhu, F. Locatello, and T. Brox, “Unsupervised semantic segmentation with self-supervised object-centric representations,” in The 11th International Conference on Learning Representations, Kigali, Rwanda, 2023.

P. M. Faller, L. C. Vankadara, A. A. Mastakouri, F. Locatello, and D. Janzing, “Self-compatibility: Evaluating causal discovery without ground truth,” arXiv. .

D. R. Boocock, T. Hirashima, and E. B. Hannezo, “Interplay between mechanochemical patterning and glassy dynamics in cellular monolayers,” PRX Life, vol. 1, no. 1. American Physical Society, 2023.

M. Nardin, K. Käfer, F. Stella, and J. L. Csicsvari, “Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions,” Cell Reports, vol. 42, no. 9. Elsevier, 2023.

U. H. Cho and M. Hetzer, “Caspase-mediated nuclear pore complex trimming in cell differentiation and endoplasmic reticulum stress,” eLife, vol. 12. eLife Sciences Publications, 2023.

M. Anastos, D. Fabian, A. Müyesser, and T. Szabó, “Splitting matchings and the Ryser-Brualdi-Stein conjecture for multisets,” Electronic Journal of Combinatorics, vol. 30, no. 3. Electronic Journal of Combinatorics, 2023.

Y. Sun, H. Fu, K. Chatterjee, and A. K. Goharshady, “Automated tail bound analysis for probabilistic recurrence relations,” in Computer Aided Verification, Paris, France, 2023, vol. 13966, pp. 16–39.

S. Akshay, K. Chatterjee, T. Meggendorfer, and D. Zikelic, “MDPs as distribution transformers: Affine invariant synthesis for safety objectives,” in International Conference on Computer Aided Verification, Paris, France, 2023, vol. 13966, pp. 86–112.

M. Nagano, K. Aoshima, H. Shimamura, D. E. Siekhaus, J. Y. Toshima, and J. Toshima, “Distinct role of TGN-resident clathrin adaptors for Vpp activation in the TGN-endosome trafficking pathway,” Journal of Cell Science, vol. 136, no. 17. The Company of Biologists, 2023.

P. M. Henderson, A. Ghazaryan, A. A. Zibrov, A. F. Young, and M. Serbyn, “Deep learning extraction of band structure parameters from density of states: A case study on trilayer graphene,” Physical Review B, vol. 108, no. 12. American Physical Society, 2023.

P. Brighi, “Ergodicity breaking in disordered and kinetically constrained quantum many-body systems,” Institute of Science and Technology Austria, 2023.

P. Brighi, M. Ljubotina, and M. Serbyn, “Hilbert space fragmentation and slow dynamics in particle-conserving quantum East models,” SciPost Physics, vol. 15, no. 3. SciPost Foundation, 2023.

R. Al Hyder, A. Cappellaro, M. Lemeshko, and A. Volosniev, “Achiral dipoles on a ferromagnet can affect its magnetization direction,” The Journal of Chemical Physics, vol. 159, no. 10. AIP Publishing, 2023.

D. Lorenc and Z. Alpichshev, “Mid-infrared Kerr index evaluation via cross-phase modulation with a near-infrared probe beam,” Applied Physics Letters, vol. 123, no. 9. AIP Publishing, 2023.

D. Scarselli, J. M. Lopez Alonso, A. Varshney, and B. Hof, “Turbulence suppression by cardiac-cycle-inspired driving of pipe flow,” Nature, vol. 621, no. 7977. Springer Nature, pp. 71–74, 2023.

M. Dvorak and J. Blanchette, “Closure properties of general grammars - formally verified,” in 14th International Conference on Interactive Theorem Proving, Bialystok, Poland, 2023, vol. 268.

A. M. Arroyo Guevara and S. Felsner, “Approximating the bundled crossing number,” Journal of Graph Algorithms and Applications, vol. 27, no. 6. Brown University, pp. 433–457, 2023.

M. Anastos, “Fast algorithms for solving the Hamilton cycle problem with high probability,” in Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms, Florence, Italy, 2023, vol. 2023, pp. 2286–2323.

B. Schamberger et al., “Curvature in biological systems: Its quantification, emergence, and implications across the scales,” Advanced Materials, vol. 35, no. 13. Wiley, 2023.

J. Gemen et al., “Disequilibrating azoarenes by visible-light sensitization under confinement,” Science, vol. 381, no. 6664. American Association for the Advancement of Science, pp. 1357–1363, 2023.

V. Sorichetti et al., “Structure and elasticity of model disordered, polydisperse, and defect-free polymer networks,” Journal of Chemical Physics, vol. 158, no. 7. American Institute of Physics, 2023.

K. Chatterjee, J. P. Katoen, S. Mohr, M. Weininger, and T. Winkler, “Stochastic games with lexicographic objectives,” Formal Methods in System Design. Springer Nature, 2023.

M. C. Ucar, “Source data for the manuscript ‘CC acts as both a sensor and a sink for CCL19 to coordinate collective leukocyte migration.’” Zenodo, 2023.

G. Cipolloni, L. Erdös, and D. J. Schröder, “Central limit theorem for linear eigenvalue statistics of non-Hermitian random matrices,” Communications on Pure and Applied Mathematics, vol. 76, no. 5. Wiley, pp. 946–1034, 2023.

T. Graham, M. Kleshnina, and J. A. Filar, “Where do mistakes lead? A survey of games with incompetent players,” Dynamic Games and Applications, vol. 13. Springer Nature, pp. 231–264, 2023.

L. Dello Schiavo, “Ergodic decomposition of Dirichlet forms via direct integrals and applications,” Potential Analysis, vol. 58. Springer Nature, pp. 573–615, 2023.

P. A. Manavella et al., “Beyond transcription: compelling open questions in plant RNA biology,” The Plant Cell, vol. 35, no. 6. Oxford University Press, 2023.

A. Liebenau, L. Mattos, W. Mendonca dos Santos, and J. Skokan, “Asymmetric Ramsey properties of random graphs involving cliques and cycles,” Random Structures and Algorithms, vol. 62, no. 4. Wiley, pp. 1035–1055, 2023.

L. Erdös and Y. Xu, “Small deviation estimates for the largest eigenvalue of Wigner matrices,” Bernoulli, vol. 29, no. 2. Bernoulli Society for Mathematical Statistics and Probability, pp. 1063–1079, 2023.

L. Bocanegra, A. Singh, E. B. Hannezo, M. P. Zagórski, and A. Kicheva, “Cell cycle dynamics control fluidity of the developing mouse neuroepithelium,” Nature Physics, vol. 19. Springer Nature, pp. 1050–1058, 2023.

L. Bocanegra, “Epithelial dynamics during mouse neural tube development,” Institute of Science and Technology Austria, 2023.

M. Khatoniar et al., “Optical manipulation of Layer–Valley coherence via strong exciton–photon coupling in microcavities,” Advanced Optical Materials, vol. 11, no. 13. Wiley, 2023.

P. Gladbach, E. Kopfer, J. Maas, and L. Portinale, “Homogenisation of dynamical optimal transport on periodic graphs,” Calculus of Variations and Partial Differential Equations, vol. 62, no. 5. Springer Nature, 2023.

C. Xing et al., “Thermoelectric performance of surface-engineered Cu1.5–xTe–Cu2Se nanocomposites,” ACS Nano, vol. 17, no. 9. American Chemical Society, pp. 8442–8452, 2023.

B. Wagner, V. Slipogor, J. Oh, M. Varga, and M. Hoeschele, “A comparison between common marmosets (Callithrix jacchus) and human infants sheds light on traits proposed to be at the root of human octave equivalence,” Developmental Science, vol. 26, no. 5. Wiley, 2023.