Exploring the Equivalence of Closed-Set Generative and Real Data Augmentation in Image Classification

Kavli Affiliate: Xiang Zhang | First 5 Authors: Haowen Wang, Haowen Wang, , , | Summary: In this paper, we address a key scientific problem in machine learning: Given a training set for an image classification task, can we train a generative model on this dataset to enhance the classification performance? (i.e., closed-set generative data […]


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Episodic Memory Representation for Long-form Video Understanding

Kavli Affiliate: Long Zhang | First 5 Authors: Yun Wang, Yun Wang, , , | Summary: Video Large Language Models (Video-LLMs) excel at general video understanding but struggle with long-form videos due to context window limits. Consequently, recent approaches focus on keyframe retrieval, condensing lengthy videos into a small set of informative frames. Despite their […]


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A Unified Contrastive-Generative Framework for Time Series Classification

Kavli Affiliate: Xiang Zhang | First 5 Authors: Ziyu Liu, Ziyu Liu, , , | Summary: Self-supervised learning (SSL) for multivariate time series mainly includes two paradigms: contrastive methods that excel at instance discrimination and generative approaches that model data distributions. While effective individually, their complementary potential remains unexplored. We propose a Contrastive Generative Time […]


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Orbital dependent Coulomb drag in electron-hole bilayer graphene heterostructures

Kavli Affiliate: Feng Wang | First 5 Authors: Zuocheng Zhang, Zuocheng Zhang, , , | Summary: We report Coulomb drag studies in an electron-hole bilayer graphene heterostructure in a magnetic field, where the orbital, spin, and valley degrees of freedom are lifted by the combined effects of exchange interaction, Zeeman energy, and vertical displacement field. […]


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Mechanotransductive feedback control of endothelial cell motility and vascular morphogenesis

Kavli Affiliate: Denis Wirtz | Authors: Devon E Mason, Megan Goeckel, Sebastian L Vega, Pei-Hsun Wu, Dymonn Johnson, Su-Jin Heo, Denis Wirtz, Jason A Burdick, Levi Wood, Brain Y Chow, Amber N Stratman and Joel D Boerckel | Summary: Vascular morphogenesis requires persistent endothelial cell motility that is responsive to diverse and dynamic mechanical stimuli. […]


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Accessible, realistic genome simulation with selection using stdpopsim

Kavli Affiliate: Scott Small | Authors: Graham Gower, Nathaniel S. Pope, Murillo F. Rodrigues, Silas Tittes, Linh N. Tran, Ornob Alam, Maria Izabel Alves Cavassim, Peter D. Fields, Benjamin C. Haller, Xin Huang, Ben Jeffrey, Kevin Korfmann, Christopher C. Kyriazis, Jiseon Min, Ines Rebollo, Clara T Rehmann, Scott T. Small, Christopher C. R. Smith, Georgia […]


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VertexRegen: Mesh Generation with Continuous Level of Detail

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Xiang Zhang, , , | Summary: We introduce VertexRegen, a novel mesh generation framework that enables generation at a continuous level of detail. Existing autoregressive methods generate meshes in a partial-to-complete manner and thus intermediate steps of generation represent incomplete structures. VertexRegen takes inspiration from […]


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Self-adjoint realizations of higher-order squeezing operators

Kavli Affiliate: Felix Fischer | First 5 Authors: Felix Fischer, Felix Fischer, , , | Summary: Higher-order squeezing captures non-Gaussian features of quantum light by probing moments of the field beyond the variance, and is associated with operators involving nonlinear combinations of creation and annihilation operators. Here we study a class of operators of the […]


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Finite-dimensional approximations of generalized squeezing

Kavli Affiliate: Felix Fischer | First 5 Authors: Sahel Ashhab, Sahel Ashhab, , , | Summary: We show unexpected behaviour in simulations of generalized squeezing performed with finite-dimensional truncations of the Fock space: even for extremely large dimension of the state space, the results depend on whether the truncation dimension is even or odd. This […]


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Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation

Kavli Affiliate: Yi Zhou | First 5 Authors: Kaiwen Huang, Kaiwen Huang, , , | Summary: Semi-supervised learning has gained considerable popularity in medical image segmentation tasks due to its capability to reduce reliance on expert-examined annotations. Several mean-teacher (MT) based semi-supervised methods utilize consistency regularization to effectively leverage valuable information from unlabeled data. However, […]


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