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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Orbital dependent Coulomb drag in electron-hole bilayer graphene heterostructures

Kavli Affiliate: Michael Crommie | 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. Our device enables the application of a large vertical displacement field […]


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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 | 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 form $ξ(a^†)^ka^l+ξ^ast (a^†)^la^k+f(a^†a)$, which arise naturally in the analysis of higher-order […]


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Finite-dimensional approximations of generalized squeezing

Kavli Affiliate: Felix Fischer | 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 situation raises the question whether the simulation results are physically meaningful. […]


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Local interface effects modulate global charge order and optical properties of 1T-TaS$_2$/1H-WSe$_2$ heterostructures

Kavli Affiliate: Kwabena Bediako| Summary:1T-TaS$_2$ is a layered charge density wave (CDW) crystal exhibiting sharp phase transitions and associated resistance changes. These resistance steps could be exploited for information storage, underscoring the importance of controlling and tuning CDW states. Given the importance of out-of-plane interactions in 1T-TaS$_2$, modulating interlayer interactions by heterostructuring is a promising […]


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YOLO-Count: Differentiable Object Counting for Text-to-Image Generation

Kavli Affiliate: Xiang Zhang | First 5 Authors: Guanning Zeng, Guanning Zeng, , , | Summary: We propose YOLO-Count, a differentiable open-vocabulary object counting model that tackles both general counting challenges and enables precise quantity control for text-to-image (T2I) generation. A core contribution is the ‘cardinality’ map, a novel regression target that accounts for variations […]


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Information-Theoretic Decentralized Secure Aggregation with Collusion Resilience

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Xiang Zhang, , , | Summary: In decentralized federated learning (FL), multiple clients collaboratively learn a shared machine learning (ML) model by leveraging their privately held datasets distributed across the network, through interactive exchange of the intermediate model updates. To ensure data security, cryptographic techniques […]


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Information-Theoretic Decentralized Secure Aggregation with Collusion Resilience

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Xiang Zhang, , , | Summary: In decentralized federated learning (FL), multiple clients collaboratively learn a shared machine learning (ML) model by leveraging their privately held datasets distributed across the network, through interactive exchange of the intermediate model updates. To ensure data security, cryptographic techniques […]


Continue.. Information-Theoretic Decentralized Secure Aggregation with Collusion Resilience