On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error

Kavli Affiliate: Yi Zhou | First 5 Authors: Quang Minh Nguyen, Hoang H. Nguyen, Yi Zhou, Lam M. Nguyen, | Summary: We study the Unbalanced Optimal Transport (UOT) between two measures of possibly different masses with at most $n$ components, where marginal constraints of the standard Optimal Transport (OT) are relaxed via Kullback-Leibler divergence with […]


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Exceptional dynamics of interacting spin liquids

Kavli Affiliate: Frank Wilczek | First 5 Authors: Kang Yang, Daniel Varjas, Emil J. Bergholtz, Sid Morampudi, Frank Wilczek | Summary: We show that interactions in quantum spin liquids can result in non-Hermitian phenomenology that differs qualitatively from mean-field expectations. We demonstrate this in two prominent cases through the effects of phonons and disorder on […]


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Revisiting the Dark Matter Interpretation of Excess Rates in Semiconductors

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Peter Abbamonte, Daniel Baxter, Yonatan Kahn, Gordan Krnjaic, Noah Kurinsky | Summary: In light of recent results from low-threshold dark matter detectors, we revisit the possibility of a common dark matter origin for multiple excesses across numerous direct detection experiments, with a focus on the excess rates […]


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Crafting Better Contrastive Views for Siamese Representation Learning

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xiangyu Peng, Kai Wang, Zheng Zhu, Mang Wang, Yang You | Summary: Recent self-supervised contrastive learning methods greatly benefit from the Siamese structure that aims at minimizing distances between positive pairs. For high performance Siamese representation learning, one of the keys is to design good contrastive pairs. […]


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Multi-modal Sensor Fusion for Auto Driving Perception: A Survey

Kavli Affiliate: Li Xin Li | First 5 Authors: Keli Huang, Botian Shi, Xiang Li, Xin Li, Siyuan Huang | Summary: Multi-modal fusion is a fundamental task for the perception of an autonomous driving system, which has recently intrigued many researchers. However, achieving a rather good performance is not an easy task due to the […]


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Intensity interferometry for ultralight bosonic dark matter detection

Kavli Affiliate: Yevgeny V. Stadnik | First 5 Authors: Hector Masia-Roig, Nataniel L. Figueroa, Ariday Bordon, Joseph A. Smiga, Yevgeny V. Stadnik | Summary: Ultralight bosonic dark matter (UBDM) can be described by a classical wave-like field oscillating near the Compton frequency of the bosons. If a measurement scheme for the direct detection of UBDM […]


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Memory Defense: More Robust Classification via a Memory-Masking Autoencoder

Kavli Affiliate: Dan Luo | First 5 Authors: Eashan Adhikarla, Dan Luo, Brian D. Davison, , | Summary: Many deep neural networks are susceptible to minute perturbations of images that have been carefully crafted to cause misclassification. Ideally, a robust classifier would be immune to small variations in input images, and a number of defensive […]


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Tunable bilayer Hubbard model physics in twisted WSe2

Kavli Affiliate: Jie Shan | First 5 Authors: Yang Xu, Kaifei Kang, Kenji Watanabe, Takashi Taniguchi, Kin Fai Mak | Summary: Moir’e materials with flat electronic bands provide a highly controllable quantum system for studies of strong-correlation physics and topology. In particular, angle-aligned heterobilayers of semiconducting transition metal dichalcogenides (TMDs) with large band offset realize […]


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Double Threshold based Optimal Device Selection Scheme for D2D or Sidelink Network

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Shamganth Kumarapandian, Qasim Zeeshan Ahmed, Faheem A. Khan, , | Summary: Device-to-device (D2D) or Sidelink aided communication is regarded as one of the most promising technologies to improve the spectral efficiency of the 5G and beyond communication system. However, two main challenges exist: 1) the selection of […]


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