_id,doi,title
14080,10.1016/j.ceb.2023.102217,"Stretching the limits of extracellular signal-related kinase (ERK) signaling — Cell mechanosensing to ERK activation"
14082,10.1242/jcs.260668,ZnUMBA - a live imaging method to detect local barrier breaches
14083,10.4230/LIPIcs.ICALP.2023.99,Zero-rate thresholds and new capacity bounds for list-decoding and list-recovery
14084,10.4230/LIPIcs.ICALP.2023.72,Parameter estimation for Gibbs distributions
14085,10.4230/LIPIcs.ICALP.2023.69,Efficient data structures for incremental exact and approximate maximum flow
14086,10.4230/LIPIcs.ICALP.2023.74,Faster submodular maximization for several classes of matroids
14087,10.1039/d3sm00316g,Spontaneous flows and dynamics of full-integer topological defects in polar active matter
14103,10.1051/0004-6361/202245650,X-shooting ULLYSES: Massive stars at low metallicity. I. Project description
14104,10.1093/mnras/stad1977,"Observational predictions for Thorne–Żytkow objects"
14105,10.1109/wacv56688.2023.00278,TeST: Test-time Self-Training under distribution shift
14192,10.1007/s11040-023-09460-x,"On the global minimum of the energy–momentum relation for the polaron"
14207,10.48550/arXiv.2306.00600,Rotating features for object discovery
14208,,Benign overfitting in deep neural networks under lazy training
14209,10.48550/arXiv.2304.10253,A data augmentation perspective on diffusion models and retrieval
14210,10.48550/arXiv.2304.07939,Leveraging sparse and shared feature activations for disentangled representation learning
14211,,Causal discovery with score matching on additive models with arbitrary noise
14212,,Scalable causal discovery with score matching
14214,,Causal triplet: An open challenge for intervention-centric causal representation learning
14217,,Relative representations enable zero-shot latent space communication
14218,,Bridging the gap to real-world object-centric learning