Geometric Pooling: maintaining more useful information

Kavli Affiliate: Jia Liu | First 5 Authors: Hao Xu, Jia Liu, Yang Shen, Kenan Lou, Yanxia Bao | Summary: Graph Pooling technology plays an important role in graph node classification tasks. Sorting pooling technologies maintain large-value units for pooling graphs of varying sizes. However, by analyzing the statistical characteristic of activated units after pooling, […]


Continue.. Geometric Pooling: maintaining more useful information

Geometric Pooling: maintaining more useful information

Kavli Affiliate: Jia Liu | First 5 Authors: Hao Xu, Jia Liu, Yang Shen, Kenan Lou, Yanxia Bao | Summary: Graph Pooling technology plays an important role in graph node classification tasks. Sorting pooling technologies maintain large-value units for pooling graphs of varying sizes. However, by analyzing the statistical characteristic of activated units after pooling, […]


Continue.. Geometric Pooling: maintaining more useful information

Search for a $τ^+τ^-$ resonance in $e^{+}e^{-}rightarrow μ^{+}μ^{-} τ^+τ^-$ events with the Belle II experiment

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle II Collaboration, I. Adachi, K. Adamczyk, L. Aggarwal, H. Ahmed | Summary: We report the first search for a non-standard-model resonance decaying into $tau$ pairs in $e^{+}e^{-}rightarrow mu^{+}mu^{-} tau^+tau^-$ events in the 3.6-10 GeV/$c^{2}$ mass range. We use a 62.8 fb$^{-1}$ sample of $e^+e^-$ collisions collected […]


Continue.. Search for a $τ^+τ^-$ resonance in $e^{+}e^{-}rightarrow μ^{+}μ^{-} τ^+τ^-$ events with the Belle II experiment

Light long-lived particles at the FCC-hh with the proposal for a dedicated forward detector FOREHUNT and a transverse detector DELIGHT

Kavli Affiliate: Shigeki Matsumoto | First 5 Authors: Biplob Bhattacherjee, Herbi K. Dreiner, Nivedita Ghosh, Shigeki Matsumoto, Rhitaja Sengupta | Summary: In this paper, we propose a dedicated forward detector, FOREHUNT (FORward Experiment for HUNdred TeV), for 100 TeV FCC-hh for the detection of light long-lived particles (LLP) coming from $B$-meson decay. We calculate the […]


Continue.. Light long-lived particles at the FCC-hh with the proposal for a dedicated forward detector FOREHUNT and a transverse detector DELIGHT

Light long-lived particles at the FCC-hh with the proposal for a dedicated forward detector FOREHUNT and a transverse detector DELIGHT

Kavli Affiliate: Shigeki Matsumoto | First 5 Authors: Biplob Bhattacherjee, Herbi K. Dreiner, Nivedita Ghosh, Shigeki Matsumoto, Rhitaja Sengupta | Summary: In this paper, we propose a dedicated forward detector, FOREHUNT (FORward Experiment for HUNdred TeV), for 100 TeV FCC-hh for the detection of light long-lived particles (LLP) coming from $B$-meson decay. We calculate the […]


Continue.. Light long-lived particles at the FCC-hh with the proposal for a dedicated forward detector FOREHUNT and a transverse detector DELIGHT

Light long-lived particles at the FCC-hh with the proposal for a dedicated forward detector FOREHUNT and a transverse detector DELIGHT

Kavli Affiliate: Shigeki Matsumoto | First 5 Authors: Biplob Bhattacherjee, Herbi K. Dreiner, Nivedita Ghosh, Shigeki Matsumoto, Rhitaja Sengupta | Summary: In this paper, we propose a dedicated forward detector, FOREHUNT (FORward~Experiment~for~HUNdred~TeV), for 100 TeV FCC-hh for the detection of light long-lived particles (LLP) coming from $B$-meson decay. We calculate the signal acceptance as a […]


Continue.. Light long-lived particles at the FCC-hh with the proposal for a dedicated forward detector FOREHUNT and a transverse detector DELIGHT

AdaSelection: Accelerating Deep Learning Training through Data Subsampling

Kavli Affiliate: Jia Liu | First 5 Authors: Minghe Zhang, Chaosheng Dong, Jinmiao Fu, Tianchen Zhou, Jia Liang | Summary: In this paper, we introduce AdaSelection, an adaptive sub-sampling method to identify the most informative sub-samples within each minibatch to speed up the training of large-scale deep learning models without sacrificing model performance. Our method […]


Continue.. AdaSelection: Accelerating Deep Learning Training through Data Subsampling

The Intrinsic Alignment of Galaxy Clusters and Impact of Projection Effects

Kavli Affiliate: Masahiro Takada | First 5 Authors: Jingjing Shi, Tomomi Sunayama, Toshiki Kurita, Masahiro Takada, Sunao Sugiyama | Summary: Galaxy clusters, being the most massive objects in the Universe, exhibit the strongest alignment with the large-scale structure. However, mis-identification of members due to projection effects from the large scale structure can occur. We studied […]


Continue.. The Intrinsic Alignment of Galaxy Clusters and Impact of Projection Effects