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Found 9 papers, 2 papers with code
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding
Addressing these limitations, we introduce scCDCG (single-cell RNA-seq Clustering via Deep Cut-informed Graph), a novel framework designed for efficient and accurate clustering of scRNA-seq data that simultaneously utilizes intercellular high-order structural information.
Robust Distributed Learning Against Both Distributional Shifts and Byzantine Attacks
In this paper, we propose a new algorithm that equips distributed learning with robustness measures against both distributional shifts and byzantine attacks.
QC-ODKLA: Quantized and Communication-Censored Online Decentralized Kernel Learning via Linearized ADMM
We then propose a novel learning framework named Online Decentralized Kernel learning via Linearized ADMM (ODKLA) to efficiently solve the online decentralized kernel learning problem.
Tracking quantum state evolution by the Berry curvature with a two-level system
We investigate two kinds of topological structures (sphere and torus) spanned by the controlled parameters of a driven two-level system's Hamiltonian, and consider the connection between the structures and the system's dynamics.
Quantum Physics
Derived Differentiable Manifolds
Therefore, we can make sense of "homotopy fibered product" and "derived intersection" of submaifolds in a smooth manifold in the homotopy category of derived manifolds.
Differential Geometry High Energy Physics - Theory Algebraic Geometry Algebraic Topology Category Theory
COKE: Communication-Censored Decentralized Kernel Learning
This paper studies the decentralized optimization and learning problem where multiple interconnected agents aim to learn an optimal decision function defined over a reproducing kernel Hilbert space by jointly minimizing a global objective function, with access to their own locally observed dataset.
Variational Quantum Circuits for Quantum State Tomography
We demonstrate our method by performing numerical simulations for the tomography of the ground state of a one-dimensional quantum spin chain, using a variational quantum circuit simulator.
Symplectic realizations of holomorphic Poisson manifolds
Symplectic realization is a longstanding problem which can be traced back to Sophus Lie.
Differential Geometry Mathematical Physics Algebraic Geometry Complex Variables Mathematical Physics Symplectic Geometry
