Data Sampling Affects the Complexity of Online SGD over Dependent Data

Kavli Affiliate: Yi Zhou | First 5 Authors: Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang | Summary: Conventional machine learning applications typically assume that data samples are independently and identically distributed (i.i.d.). However, practical scenarios often involve a data-generating process that produces highly dependent data samples, which are known to heavily bias […]


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Distributed optical fiber sensing using forward propagation of multiple modes

Kavli Affiliate: Alireza Marandi | First 5 Authors: Luis Costa, Zhongwen Zhan, Alireza Marandi, , | Summary: Fiber optic distributed sensors typically demand bidirectional propagation in optical fibers to localize each point of measurement. This imposes barriers to their deployment in long-haul, amplified telecommunication links and prevents massive range enhancement through in-line amplification, due to […]


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Large-gap insulating dimer ground state in monolayer IrTe2

Kavli Affiliate: Michael F. Crommie | First 5 Authors: Jinwoong Hwang, Kyoo Kim, Canxun Zhang, Tiancong Zhu, Charlotte Herbig | Summary: Monolayers of two-dimensional van der Waals materials exhibit novel electronic phases distinct from their bulk due to the symmetry breaking and reduced screening in the absence of the interlayer coupling. In this work, we […]


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Chip-Based Laser with 1 Hertz Integrated Linewidth

Kavli Affiliate: Kerry J. Vahala | First 5 Authors: Joel Guo, Charles A. McLemore, Chao Xiang, Dahyeon Lee, Lue Wu | Summary: Lasers with hertz-level linewidths on timescales up to seconds are critical for precision metrology, timekeeping, and manipulation of quantum systems. Such frequency stability typically relies on bulk-optic lasers and reference cavities, where increased […]


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Symmetries of the Primordial Sky

Kavli Affiliate: Craig Hogan | First 5 Authors: Craig Hogan, , , , | Summary: Quantum field theory, which is generally used to describe the origin of large-scale gravitational perturbations during cosmic inflation, has been shown to omit an important physical effect in curved space-time, the nonlocal entanglement among quantized modes from their gravitational effect […]


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A partnership of the lipid scramblase XK and of the lipid transfer protein VPS13A at the plasma membrane

Kavli Affiliate: Pietro DeCamilli | Authors: Andrés Guillén Samander, Yumei Wu, S. Sebastian Pineda, Francisco J. García, Julia N. Eisen, Marianna Leonzino, Berrak Uğur, Manolis Kellis, Myriam Heiman and Pietro De Camilli | Summary: Chorea-acanthocytosis and McLeod syndrome are diseases with shared clinical manifestations caused by mutations in VPS13A and XK, respectively. Key features of […]


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Knowledge-Spreader: Learning Facial Action Unit Dynamics with Extremely Limited Labels

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiaotian Li, Xiang Zhang, Taoyue Wang, Lijun Yin, | Summary: Recent studies on the automatic detection of facial action unit (AU) have extensively relied on large-sized annotations. However, manually AU labeling is difficult, time-consuming, and costly. Most existing semi-supervised works ignore the informative cues from the temporal […]


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Mesoscopic oblique plane microscopy (Meso-OPM) – enabling large-scale 4D isotropic cellular resolution imaging with a diffractive light sheet

Kavli Affiliate: Patrick Kanold | Authors: Wenjun Shao, Minzi Chang, Kevin Emmerich, Patrick O Kanold, Jeff S Mumm and Ji Yi | Summary: Fundamental understanding of large-scale dynamic connectivity within a living organism requires volumetric imaging over a large field of view (FOV) at biologically relevant speed and resolution. However, most microscopy methods make trade-offs […]


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A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization

Kavli Affiliate: Yi Zhou | First 5 Authors: Ziyi Chen, Bhavya Kailkhura, Yi Zhou, , | Summary: Many important machine learning applications involve regularized nonconvex bi-level optimization. However, the existing gradient-based bi-level optimization algorithms cannot handle nonconvex or nonsmooth regularizers, and they suffer from a high computation complexity in nonconvex bi-level optimization. In this work, […]


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