Liu, Yuejiang, et al. “Causal Triplet: An Open Challenge for Intervention-Centric Causal Representation Learning.” 2nd Conference on Causal Learning and Reasoning, 2023.

Moschella, Luca, et al. “Relative Representations Enable Zero-Shot Latent Space Communication.” The 11th International Conference on Learning Representations, 2023.

Tangemann, Matthias, et al. “Unsupervised Object Learning via Common Fate.” 2nd Conference on Causal Learning and Reasoning, 2110.06562, 2023.

Seitzer, Maximilian, et al. “Bridging the Gap to Real-World Object-Centric Learning.” The 11th International Conference on Learning Representations, 2023.

Zadaianchuk, Andrii, et al. “Unsupervised Semantic Segmentation with Self-Supervised Object-Centric Representations.” The 11th International Conference on Learning Representations, 2023.

Faller, Philipp M., et al. “Self-Compatibility: Evaluating Causal Discovery without Ground Truth.”10.48550/arXiv.2307.09552__ArXiv, 2307.09552, doi:10.48550/arXiv.2307.09552.

Boocock, Daniel R., et al. “Interplay between Mechanochemical Patterning and Glassy Dynamics in Cellular Monolayers.”10.1103/prxlife.1.013001__PRX Life, vol. 1, no. 1, 013001, American Physical Society, 2023, doi:10.1103/prxlife.1.013001.

Nardin, Michele, et al. “Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal Assembly Interactions.”10.1016/j.celrep.2023.113015__Cell Reports, vol. 42, no. 9, 113015, Elsevier, 2023, doi:10.1016/j.celrep.2023.113015.

Cho, Ukrae H., and Martin Hetzer. “Caspase-Mediated Nuclear Pore Complex Trimming in Cell Differentiation and Endoplasmic Reticulum Stress.”10.7554/eLife.89066__ELife, vol. 12, 6, eLife Sciences Publications, 2023, doi:10.7554/eLife.89066.

Anastos, Michael, et al. “Splitting Matchings and the Ryser-Brualdi-Stein Conjecture for Multisets.”10.37236/11714__Electronic Journal of Combinatorics, vol. 30, no. 3, .10, Electronic Journal of Combinatorics, 2023, doi:10.37236/11714.

Sun, Yican, et al. “Automated Tail Bound Analysis for Probabilistic Recurrence Relations.”10.1007/978-3-031-37709-9_2__Computer Aided Verification, vol. 13966, Springer Nature, 2023, pp. 16–39, doi:10.1007/978-3-031-37709-9_2.

Akshay, S., et al. “MDPs as Distribution Transformers: Affine Invariant Synthesis for Safety Objectives.”10.1007/978-3-031-37709-9_5__International Conference on Computer Aided Verification, vol. 13966, Springer Nature, 2023, pp. 86–112, doi:10.1007/978-3-031-37709-9_5.

Nagano, Makoto, et al. “Distinct Role of TGN-Resident Clathrin Adaptors for Vpp Activation in the TGN-Endosome Trafficking Pathway.”10.1242/jcs.261448__Journal of Cell Science, vol. 136, no. 17, j48, The Company of Biologists, 2023, doi:10.1242/jcs.261448.

Henderson, Paul M., et al. “Deep Learning Extraction of Band Structure Parameters from Density of States: A Case Study on Trilayer Graphene.”10.1103/physrevb.108.125411__Physical Review B, vol. 108, no. 12, 125411, American Physical Society, 2023, doi:10.1103/physrevb.108.125411.

Brighi, Pietro. Ergodicity Breaking in Disordered and Kinetically Constrained Quantum Many-Body Systems. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:12732.

Brighi, Pietro, et al. “Hilbert Space Fragmentation and Slow Dynamics in Particle-Conserving Quantum East Models.”10.21468/scipostphys.15.3.093__SciPost Physics, vol. 15, no. 3, 093, SciPost Foundation, 2023, doi:10.21468/scipostphys.15.3.093.

Al Hyder, Ragheed, et al. “Achiral Dipoles on a Ferromagnet Can Affect Its Magnetization Direction.”10.1063/5.0165806__The Journal of Chemical Physics, vol. 159, no. 10, 104103, AIP Publishing, 2023, doi:10.1063/5.0165806.

Lorenc, Dusan, and Zhanybek Alpichshev. “Mid-Infrared Kerr Index Evaluation via Cross-Phase Modulation with a near-Infrared Probe Beam.”10.1063/5.0161713__Applied Physics Letters, vol. 123, no. 9, 091104, AIP Publishing, 2023, doi:10.1063/5.0161713.

Scarselli, Davide, et al. “Turbulence Suppression by Cardiac-Cycle-Inspired Driving of Pipe Flow.”10.1038/s41586-023-06399-5__Nature, vol. 621, no. 7977, Springer Nature, 2023, pp. 71–74, doi:10.1038/s41586-023-06399-5.

Accogli, Andrea, et al. “Clinical, Neuroradiological, and Molecular Characterization of Mitochondrial Threonyl-TRNA-Synthetase (TAR)-Related Disorder.”10.1016/j.gim.2023.100938__Genetics in Medicine, vol. 25, no. 11, 100938, Elsevier, 2023, doi:10.1016/j.gim.2023.100938.