Henzinger, T. A., Karimi, M., Kueffner, K., &; Mallik, K. (2023). Monitoring algorithmic fairness. In Computer Aided Verification (Vol. 13965, pp. 358–382). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-37703-7_17 

Glajzer, J., Castillo-Tong, D. C., Richter, R., Vergote, I., Kulbe, H., Vanderstichele, A.,https://doi.org/10.1245/s10434-022-12459-3__Braicu, E. I. (2023). 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. Springer Nature.https://doi.org/10.1245/s10434-022-12459-3 

Glajzer, J., Castillo-Tong, D. C., Richter, R., Vergote, I., Kulbe, H., Vanderstichele, A.,https://doi.org/10.1245/s10434-022-12681-z__Braicu, E. I. (2023). 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. Springer Nature.https://doi.org/10.1245/s10434-022-12681-z 

Vierra, N. C., Ribeiro-Silva, L., Kirmiz, M., Van Der List, D., Bhandari, P., Mack, O. A.,https://doi.org/10.1038/s41467-023-40930-6__Trimmer, J. S. (2023). Neuronal ER-plasma membrane junctions couple excitation to C+-activated PKA signaling. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-023-40930-6 

Kretinsky, J., Meggendorfer, T., Prokop, M., &; Rieder, S. (2023). Guessing winning policies in LTL synthesis by semantic learning. In 35th International Conference on Computer Aided Verification  (Vol. 13964, pp. 390–414). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-37706-8_20 

Sinha, S., Gehler, P., Locatello, F., &; Schiele, B. (2023). TeST: Test-time Self-Training under distribution shift. In 2023 IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, HI, United States: Institute of Electrical and Electronics Engineers.https://doi.org/10.1109/wacv56688.2023.00278 

Mathis, S., &; Bugnet, L. A. (2023). Asymmetries of frequency splittings of dipolar mixed modes: A window on the topology of deep magnetic fields. Astronomy and Astrophysics. EDP Sciences.https://doi.org/10.1051/0004-6361/202346832 

Gamper, J., Kluibenschedl, F., Weiss, A. K. H., &; Hofer, T. S. (2023). Accessing position space wave functions in band structure calculations of periodic systems - a generalized, adapted numerov implementation for one-, two-, and three-dimensional quantum problems. Journal of Physical Chemistry Letters. American Chemical Society.https://doi.org/10.1021/acs.jpclett.3c01707 

Zhu, Z., Liu, F., Chrysos, G. G., Locatello, F., &; Cevher, V. (2023). Benign overfitting in deep neural networks under lazy training. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 43105–43128). Honolulu, Hawaii, United States: ML Research Press.

Burg, M. F., Wenzel, F., Zietlow, D., Horn, M., Makansi, O., Locatello, F., &; Russell, C. (n.d.). A data augmentation perspective on diffusion models and retrieval. arXiv.https://doi.org/10.48550/arXiv.2304.10253 

Montagna, F., Noceti, N., Rosasco, L., Zhang, K., &; Locatello, F. (2023). Causal discovery with score matching on additive models with arbitrary noise. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.

Montagna, F., Noceti, N., Rosasco, L., Zhang, K., &; Locatello, F. (2023). Scalable causal discovery with score matching. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.

Liu, Y., Alahi, A., Russell, C., Horn, M., Zietlow, D., Schölkopf, B., &; Locatello, F. (2023). Causal triplet: An open challenge for intervention-centric causal representation learning. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.

Moschella, L., Maiorca, V., Fumero, M., Norelli, A., Locatello, F., &; Rodolà, E. (2023). Relative representations enable zero-shot latent space communication. In The 11th International Conference on Learning Representations. Kigali, Rwanda.

Tangemann, M., Schneider, S., Kügelgen, J. von, Locatello, F., Gehler, P., Brox, T.,  Schölkopf, B. (2023). Unsupervised object learning via common fate. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.

Seitzer, M., Horn, M., Zadaianchuk, A., Zietlow, D., Xiao, T., Carl-Johann Simon-Gabriel, C.-J. S.-G.,  Locatello, F. (2023). Bridging the gap to real-world object-centric learning. In The 11th International Conference on Learning Representations. Kigali, Rwanda.

Zadaianchuk, A., Kleindessner, M., Zhu, Y., Locatello, F., &; Brox, T. (2023). Unsupervised semantic segmentation with self-supervised object-centric representations. In The 11th International Conference on Learning Representations. Kigali, Rwanda.

Faller, P. M., Vankadara, L. C., Mastakouri, A. A., Locatello, F., &; Janzing, D. (n.d.). Self-compatibility: Evaluating causal discovery without ground truth. arXiv.https://doi.org/10.48550/arXiv.2307.09552 

Boocock, D. R., Hirashima, T., &; Hannezo, E. B. (2023). Interplay between mechanochemical patterning and glassy dynamics in cellular monolayers. PRX Life. American Physical Society.https://doi.org/10.1103/prxlife.1.013001 

Nardin, M., Käfer, K., Stella, F., &; Csicsvari, J. L. (2023). Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. Cell Reports. Elsevier.https://doi.org/10.1016/j.celrep.2023.113015 

Cho, U. H., &; Hetzer, M. (2023). Caspase-mediated nuclear pore complex trimming in cell differentiation and endoplasmic reticulum stress. ELife. eLife Sciences Publications.https://doi.org/10.7554/eLife.89066 

Anastos, M., Fabian, D., Müyesser, A., &; Szabó, T. (2023). Splitting matchings and the Ryser-Brualdi-Stein conjecture for multisets. Electronic Journal of Combinatorics. Electronic Journal of Combinatorics.https://doi.org/10.37236/11714 

Sun, Y., Fu, H., Chatterjee, K., &; Goharshady, A. K. (2023). Automated tail bound analysis for probabilistic recurrence relations. In Computer Aided Verification (Vol. 13966, pp. 16–39). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-37709-9_2 

Akshay, S., Chatterjee, K., Meggendorfer, T., &; Zikelic, D. (2023). MDPs as distribution transformers: Affine invariant synthesis for safety objectives. In International Conference on Computer Aided Verification (Vol. 13966, pp. 86–112). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-37709-9_5 

Nagano, M., Aoshima, K., Shimamura, H., Siekhaus, D. E., Toshima, J. Y., &; Toshima, J. (2023). Distinct role of TGN-resident clathrin adaptors for Vpp activation in the TGN-endosome trafficking pathway. Journal of Cell Science. The Company of Biologists.https://doi.org/10.1242/jcs.261448 

Henderson, P. M., Ghazaryan, A., Zibrov, A. A., Young, A. F., &; Serbyn, M. (2023). Deep learning extraction of band structure parameters from density of states: A case study on trilayer graphene. Physical Review B. American Physical Society.https://doi.org/10.1103/physrevb.108.125411 

Brighi, P. (2023). Ergodicity breaking in disordered and kinetically constrained quantum many-body systems. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12732 

Brighi, P., Ljubotina, M., &; Serbyn, M. (2023). Hilbert space fragmentation and slow dynamics in particle-conserving quantum East models. SciPost Physics. SciPost Foundation.https://doi.org/10.21468/scipostphys.15.3.093 

Al Hyder, R., Cappellaro, A., Lemeshko, M., &; Volosniev, A. (2023). Achiral dipoles on a ferromagnet can affect its magnetization direction. The Journal of Chemical Physics. AIP Publishing.https://doi.org/10.1063/5.0165806 

Lorenc, D., &; Alpichshev, Z. (2023). Mid-infrared Kerr index evaluation via cross-phase modulation with a near-infrared probe beam. Applied Physics Letters. AIP Publishing.https://doi.org/10.1063/5.0161713 

Scarselli, D., Lopez Alonso, J. M., Varshney, A., &; Hof, B. (2023). Turbulence suppression by cardiac-cycle-inspired driving of pipe flow. Nature. Springer Nature.https://doi.org/10.1038/s41586-023-06399-5 

Accogli, A., Lin, S.-J., Severino, M., Kim, S.-H., Huang, K., Rocca, C.,https://doi.org/10.1016/j.gim.2023.100938__Maroofian, R. (2023). Clinical, neuroradiological, and molecular characterization of mitochondrial threonyl-tRNA-synthetase (TAR)-related disorder. Genetics in Medicine. Elsevier.https://doi.org/10.1016/j.gim.2023.100938 

Dvorak, M., &; Blanchette, J. (2023). Closure properties of general grammars - formally verified. In 14th International Conference on Interactive Theorem Proving (Vol. 268). Bialystok, Poland: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.ITP.2023.15 

Arroyo Guevara, A. M., &; Felsner, S. (2023). Approximating the bundled crossing number. Journal of Graph Algorithms and Applications. Brown University.https://doi.org/10.7155/jgaa.00629 

Anastos, M. (2023). Fast algorithms for solving the Hamilton cycle problem with high probability. In Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms (Vol. 2023, pp. 2286–2323). Florence, Italy: Society for Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611977554.ch88 

Schamberger, B., Ziege, R., Anselme, K., Ben Amar, M., Bykowski, M., Castro, A. P. G.,https://doi.org/10.1002/adma.202206110__Dunlop, J. W. C. (2023). Curvature in biological systems: Its quantification, emergence, and implications across the scales. Advanced Materials. Wiley.https://doi.org/10.1002/adma.202206110 

Andersen, B. H., Renaud, J. B., Rønning, J., Angheluta, L., &; Doostmohammadi, A. (2023). Symmetry-restoring crossover from defect-free to defect-laden turbulence in polar active matter. Physical Review Fluids. American Physical Society.https://doi.org/10.1103/physrevfluids.8.063101 

Gemen, J., Church, J. R., Ruoko, T.-P., Durandin, N., Biaek, M. J., Weissenfels, M.,https://doi.org/10.1126/science.adh9059__Klajn, R. (2023). Disequilibrating azoarenes by visible-light sensitization under confinement. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.adh9059 

Sorichetti, V., Ninarello, A., Ruiz-Franco, J., Hugouvieux, V., Zaccarelli, E., Micheletti, C.,https://doi.org/10.1063/5.0134271__Rovigatti, L. (2023). Structure and elasticity of model disordered, polydisperse, and defect-free polymer networks. Journal of Chemical Physics. American Institute of Physics.https://doi.org/10.1063/5.0134271 

Chatterjee, K., Katoen, J. P., Mohr, S., Weininger, M., &; Winkler, T. (2023). Stochastic games with lexicographic objectives. Formal Methods in System Design. Springer Nature.https://doi.org/10.1007/s10703-023-00411-4 

Ucar, M. C. (2023). Source data for the manuscript “CC acts as both a sensor and a sink for CCL19 to coordinate collective leukocyte migration.”https://doi.org/10.5281/ZENODO.8133960__Zenodo.https://doi.org/10.5281/ZENODO.8133960 

Cipolloni, G., Erdös, L., &; Schröder, D. J. (2023). Central limit theorem for linear eigenvalue statistics of non-Hermitian random matrices. Communications on Pure and Applied Mathematics. Wiley.https://doi.org/10.1002/cpa.22028 

Graham, T., Kleshnina, M., &; Filar, J. A. (2023). Where do mistakes lead? A survey of games with incompetent players. Dynamic Games and Applications. Springer Nature.https://doi.org/10.1007/s13235-022-00425-3 

Dello Schiavo, L. (2023). Ergodic decomposition of Dirichlet forms via direct integrals and applications. Potential Analysis. Springer Nature.https://doi.org/10.1007/s11118-021-09951-y 

Manavella, P. A., Godoy Herz, M. A., Kornblihtt, A. R., Sorenson, R., Sieburth, L. E., Nakaminami, K.,https://doi.org/10.1093/plcell/koac346__Pikaard, C. S. (2023). Beyond transcription: compelling open questions in plant RNA biology. The Plant Cell. Oxford University Press.https://doi.org/10.1093/plcell/koac346 

Liebenau, A., Mattos, L., Mendonca dos Santos, W., &; Skokan, J. (2023). Asymmetric Ramsey properties of random graphs involving cliques and cycles. Random Structures and Algorithms. Wiley.https://doi.org/10.1002/rsa.21106 

Erdös, L., &; Xu, Y. (2023). Small deviation estimates for the largest eigenvalue of Wigner matrices. Bernoulli. Bernoulli Society for Mathematical Statistics and Probability.https://doi.org/10.3150/22-BEJ1490 

Bocanegra, L., Singh, A., Hannezo, E. B., Zagórski, M. P., &; Kicheva, A. (2023). Cell cycle dynamics control fluidity of the developing mouse neuroepithelium. Nature Physics. Springer Nature.https://doi.org/10.1038/s41567-023-01977-w 

Bocanegra, L. (2023). Epithelial dynamics during mouse neural tube development. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:13081 

Filipovi Mariji, V., Krasnici, N., Vali, D., Kapetanovi, D., Vardi Smrzli, I., Jordanova, M.,https://doi.org/10.1007/s11356-023-26844-2__Dragun, Z. (2023). Pollution impact on metal and biomarker responses in intestinal cytosol of freshwater fish. Environmental Science and Pollution Research. Springer Nature.https://doi.org/10.1007/s11356-023-26844-2 

Khatoniar, M., Yama, N., Ghazaryan, A., Guddala, S., Ghaemi, P., Majumdar, K., &; Menon, V. (2023). Optical manipulation of Layer–Valley coherence via strong exciton–photon coupling in microcavities. Advanced Optical Materials. Wiley.https://doi.org/10.1002/adom.202202631 

Gladbach, P., Kopfer, E., Maas, J., &; Portinale, L. (2023). Homogenisation of dynamical optimal transport on periodic graphs. Calculus of Variations and Partial Differential Equations. Springer Nature.https://doi.org/10.1007/s00526-023-02472-z 

Xing, C., Zhang, Y., Xiao, K., Han, X., Liu, Y., Nan, B.,https://doi.org/10.1021/acsnano.3c00495__Cabot, A. (2023). Thermoelectric performance of surface-engineered Cu1.5–xTe–Cu2Se nanocomposites. ACS Nano. American Chemical Society.https://doi.org/10.1021/acsnano.3c00495 

Wagner, B., Slipogor, V., Oh, J., Varga, M., &; Hoeschele, M. (2023). 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. Wiley.https://doi.org/10.1111/desc.13395 

De Simoi, J., Kaloshin, V., &; Leguil, M. (2023). Marked Length Spectral determination of analytic chaotic billiards with axial symmetries. Inventiones Mathematicae. Springer Nature.https://doi.org/10.1007/s00222-023-01191-8 

Gupta, D., Mlynarski, W. F., Sumser, A. L., Symonova, O., Svaton, J., &; Jösch, M. A. (2023). Panoramic visual statistics shape retina-wide organization of receptive fields. Nature Neuroscience. Springer Nature.https://doi.org/10.1038/s41593-023-01280-0 

Gupta, D., Sumser, A. L., &; Jösch, M. A. (2023). Research Data for: Panoramic visual statistics shape retina-wide organization of receptive fields. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:12370 

Montaña-Mora, G., Qi, X., Wang, X., Chacón-Borrero, J., Martinez-Alanis, P. R., Yu, X.,https://doi.org/10.1016/j.jelechem.2023.117369__Cabot, A. (2023). Phosphorous incorporation into palladium tin nanoparticles for the electrocatalytic formate oxidation reaction. Journal of Electroanalytical Chemistry. Elsevier.https://doi.org/10.1016/j.jelechem.2023.117369 

Kourimska, H. (2023). Discrete yamabe problem for polyhedral surfaces. Discrete and Computational Geometry. Springer Nature.https://doi.org/10.1007/s00454-023-00484-2 

Köse, S. (2023). Exterior algebra and combinatorics. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:13331 

Stockmaier, S., Ulrich, Y., Albery, G. F., Cremer, S., &; Lopes, P. C. (2023). Behavioural defences against parasites across host social structures. Functional Ecology. British Ecological Society.https://doi.org/10.1111/1365-2435.14310 

Ivanov, G., &; Köse, S. (2023). Erds-Ko-Rado and Hilton-Milner theorems for two-forms. Discrete Mathematics. Elsevier.https://doi.org/10.1016/j.disc.2023.113363 

Cipolloni, G., Erdös, L., &; Schröder, D. J. (2023). On the spectral form factor for random matrices. Communications in Mathematical Physics. Springer Nature.https://doi.org/10.1007/s00220-023-04692-y 

Corbet, R., Kerber, M., Lesnick, M., &; Osang, G. F. (2023). Computing the multicover bifiltration. Discrete and Computational Geometry. Springer Nature.https://doi.org/10.1007/s00454-022-00476-8 

Boissonnat, J. D., &; Wintraecken, M. (2023). The reach of subsets of manifolds. Journal of Applied and Computational Topology. Springer Nature.https://doi.org/10.1007/s41468-023-00116-x 

Boker, U., Henzinger, T. A., Mazzocchi, N. A., &; Sarac, N. E. (2023). Safety and liveness of quantitative automata. In 34th International Conference on Concurrency Theory (Vol. 279). Antwerp, Belgium: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.CONCUR.2023.17 

Babkin, S., Karcher, J. F., Burmistrov, I. S., &; Mirlin, A. D. (2023). Generalized surface multifractality in two-dimensional disordered systems. Physical Review B. American Physical Society.https://doi.org/10.1103/PhysRevB.108.104205 

Tomaszewska, P., &; Lampert, C. (2023). On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift. In International Workshop on Reproducible Research in Pattern Recognition (Vol. 14068, pp. 67–73). Montreal, Canada: Springer Nature.https://doi.org/10.1007/978-3-031-40773-4_6 

Bartocci, E., Henzinger, T. A., Nickovic, D., &; Oliveira da Costa, A. (2023). Hypernode automata. In 34th International Conference on Concurrency Theory (Vol. 279). Antwerp, Belgium: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.CONCUR.2023.21 

Cipolloni, G., Erdös, L., &; Schröder, D. J. (2023). Mesoscopic central limit theorem for non-Hermitian random matrices. Probability Theory and Related Fields. Springer Nature.https://doi.org/10.1007/s00440-023-01229-1 

Balazs, D., &; Ibáñez, M. (2023). Widening the use of 3D printing. Science. AAAS.https://doi.org/10.1126/science.adk3070 

Baier, C., Chatterjee, K., Meggendorfer, T., &; Piribauer, J. (2023). Entropic risk for turn-based stochastic games. In 48th International Symposium on Mathematical Foundations of Computer Science (Vol. 272). Bordeaux, France: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.MFCS.2023.15 

Boissonnat, J. D., Kachanovich, S., &; Wintraecken, M. (2023). Tracing isomanifolds in Rd in time polynomial in d using Coxeter–Freudenthal–Kuhn triangulations. SIAM Journal on Computing. Society for Industrial and Applied Mathematics.https://doi.org/10.1137/21M1412918 

comi, L., Largeteau-Skapin, G., Zrour, R., Biswas, R., &; Andres, E. (2023). Discrete analytical objects in the body-centered cubic grid. Pattern Recognition. Elsevier.https://doi.org/10.1016/j.patcog.2023.109693 

Bunting, R., Wodaczek, F., Torabi, T., &; Cheng, B. (2023). Reactivity of single-atom alloy nanoparticles: Modeling the dehydrogenation of propane. Journal of the American Chemical Society. American Chemical Society.https://doi.org/10.1021/jacs.3c04030 

Unterweger, I. A., Klepstad, J., Hannezo, E. B., Lundegaard, P. R., Trusina, A., &; Ober, E. A. (2023). Lineage tracing identifies heterogeneous hepatoblast contribution to cell lineages and postembryonic organ growth dynamics. PLoS Biology. Public Library of Science.https://doi.org/10.1371/journal.pbio.3002315 

Dodis, Y., Ferguson, N., Goldin, E., Hall, P., &; Pietrzak, K. Z. (2023). Random oracle combiners: Breaking the concatenation barrier for collision-resistance. In 43rd Annual International Cryptology Conference (Vol. 14082, pp. 514–546). Santa Barbara, CA, United States: Springer Nature.https://doi.org/10.1007/978-3-031-38545-2_17 

Leithner, A. F., Merrin, J., &; Sixt, M. K. (2023). En-Face Imaging of T Cell-Dendritic Cell Immunological Synapses. In C. Baldari &; M. Dustin (Eds.), The Immune Synapse (Vol. 2654, pp. 137–147). New York, NY: Springer Nature.https://doi.org/10.1007/978-1-0716-3135-5_9 

Diao, Y. (2023). Density of the union of positive diagonal binary quadratic forms. Acta Arithmetica. Instytut Matematyczny.https://doi.org/10.4064/aa210830-24-11 

Qiu, L., Sahu, R., Hease, W. J., Arnold, G. M., &; Fink, J. M. (2023). Coherent optical control of a superconducting microwave cavity via electro-optical dynamical back-action. Nature Communications. Nature Research.https://doi.org/10.1038/s41467-023-39493-3 

Barbier, J., Camilli, F., Mondelli, M., &; Sáenz, M. (2023). Fundamental limits in structured principal component analysis and how to reach them. Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences.https://doi.org/10.1073/pnas.2302028120 

Vardi, O., Maroudas-Sklare, N., Kolodny, Y., Volosniev, A., Saragovi, A., Galili, N.,https://doi.org/10.1073/pnas.2300828120__Paltiel, Y. (2023). Nuclear spin effects in biological processes. Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences.https://doi.org/10.1073/pnas.2300828120 

Dubach, G., &; Erdös, L. (2023). Dynamics of a rank-one perturbation of a Hermitian matrix. Electronic Communications in Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/23-ECP516 

Cipolloni, G., Erdös, L., &; Schröder, D. J. (2023). Functional central limit theorems for Wigner matrices. Annals of Applied Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/22-AAP1820 

Browning, T. D., Boudec, P. L., &; Sawin, W. (2023). The Hasse principle for random Fano hypersurfaces. Annals of Mathematics. Princeton University.https://doi.org/10.4007/annals.2023.197.3.3 

Mckerral, J. C., Kleshnina, M., Ejov, V., Bartle, L., Mitchell, J. G., &; Filar, J. A. (2023). Empirical parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur equations. PLoS One. Public Library of Science.https://doi.org/10.1371/journal.pone.0279838 

Eguchi, K., Le Monnier, E., &; Shigemoto, R. (2023). Nanoscale phosphoinositide distribution on cell membranes of mouse cerebellar neurons. The Journal of Neuroscience. Society for Neuroscience.https://doi.org/10.1523/JNEUROSCI.1514-22.2023 

Bonolis, D., &; Browning, T. D. (2023). Uniform bounds for rational points on hyperelliptic fibrations. Annali Della Scuola Normale Superiore Di Pisa - Classe Di Scienze. Scuola Normale Superiore - Edizioni della Normale.https://doi.org/10.2422/2036-2145.202010_018 

Confavreux, B. J. (2023). Synapseek: Meta-learning synaptic plasticity rules. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:14422 

Roos, B. (2023). Boundary superconductivity in BCS theory. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:14374 

Hainzl, C., Roos, B., &; Seiringer, R. (2023). Boundary superconductivity in the BCS model. Journal of Spectral Theory. EMS Press.https://doi.org/10.4171/JST/439 

Barton, N. H., Etheridge, A. M., &; Véber, A. (2023). The infinitesimal model with dominance. Genetics. Oxford Academic.https://doi.org/10.1093/genetics/iyad133 

Barton, N. H. (2023). The infinitesimal model with dominance. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:12949 

Markov, I., Vladu, A., Guo, Q., &; Alistarh, D.-A. (2023). Quantized distributed training of large models with convergence guarantees. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 24020–24044). Honolulu, Hawaii, HI, United States: ML Research Press.

Fichtenberger, H., Henzinger, M. H., &; Upadhyay, J. (2023). Constant matters: Fine-grained error bound on differentially private continual observation. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 10072–10092). Honolulu, Hawaii, HI, United States: ML Research Press.

Shevchenko, A., Kögler, K., Hassani, H., &; Mondelli, M. (2023). Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 31151–31209). Honolulu, Hawaii, HI, United States: ML Research Press.

Nikdan, M., Pegolotti, T., Iofinova, E. B., Kurtic, E., &; Alistarh, D.-A. (2023). SparseProp: Efficient sparse backpropagation for faster training of neural networks at the edge. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 26215–26227). Honolulu, Hawaii, HI, United States: ML Research Press.

Hoffmann, C., &; Simkin, M. (2023). Stronger lower bounds for leakage-resilient secret sharing. In 8th International Conference on Cryptology and Information Security in Latin America (Vol. 14168, pp. 215–228). Quito, Ecuador: Springer Nature.https://doi.org/10.1007/978-3-031-44469-2_11 

Frantar, E., &; Alistarh, D.-A. (2023). SparseGPT: Massive language models can be accurately pruned in one-shot. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 10323–10337). Honolulu, Hawaii, HI, United States: ML Research Press.

Cornalba, F., Disselkamp, C., Scassola, D., &; Helf, C. (2023). Multi-objective reward generalization: improving performance of Deep Reinforcement Learning for applications in single-asset trading. Neural Computing and Applications. Springer Nature.https://doi.org/10.1007/s00521-023-09033-7