Predicting the Exoplanet Yield of the TESS Prime and Extended Missions Through Years 1-7

Kavli Affiliate: Roland Vanderspek | First 5 Authors: Michelle Kunimoto, Joshua N. Winn, George R. Ricker, Roland Vanderspek, | Summary: The Transiting Exoplanet Survey Satellite (TESS) has discovered $sim$5000 planets and planet candidates after three and a half years of observations. With a planned second Extended Mission spanning Years 5 – 7 on the horizon, […]


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Emergence of Crystalline Few-body Correlations in Mass-imbalanced Fermi Polarons

Kavli Affiliate: Cheng Peng | First 5 Authors: Ruijin Liu, Cheng Peng, Xiaoling Cui, , | Summary: Identifying few-body correlations is an efficient tool to solve complex many-body problems. Polarons, interpolating between few- and many-body systems, serve as an ideal platform to achieve the goal. In this work, we reveal the emergence of various crystalline […]


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Crystalline correlations emergent from a smooth crossover of mass-imbalanced Fermi polaron

Kavli Affiliate: Cheng Peng | First 5 Authors: Ruijin Liu, Cheng Peng, Xiaoling Cui, , | Summary: Identifying few-body correlations is an efficient tool to solve complex many-body problems. The polarons, interpolating between few- and many-body systems, serve as an ideal platform to achieve the goal. In this work, we reveal various crystalline few-body correlations […]


Continue.. Crystalline correlations emergent from a smooth crossover of mass-imbalanced Fermi polaron

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 the marginal constraints of standard Optimal Transport (OT) are relaxed via Kullback-Leibler divergence with […]


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

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 […]


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

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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Unsupervised Long-Term Person Re-Identification with Clothes Change

Kavli Affiliate: Cheng Peng | First 5 Authors: Mingkun Li, Shupeng Cheng, Peng Xu, Xiatian Zhu, Chun-Guang Li | Summary: We investigate unsupervised person re-identification (Re-ID) with clothes change, a new challenging problem with more practical usability and scalability to real-world deployment. Most existing re-id methods artificially assume the clothes of every single person to […]


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