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152 papers · 1 filter
On Statistical Efficiency in Learning
Jie Ding, Enmao Diao, Jiawei Zhou +1
A central issue of many statistical learning problems is to select an appropriate model from a set of candidate models. Large models tend to inflate the variance (or overfitting),…
Search for Low-energy Electron Antineutrinos in KamLAND Associated with Gravitational Wave Events
S. Abe, S. Asami, A. Gando +65
We present the results of a search for MeV-scale electron antineutrino events in KamLAND in coincident with the 60 gravitational wave events/candidates reported by the LIGO/Virgo c…
Beyond intensity modulation: new approaches to pump-probe microscopy
Jun Jiang, David Grass, Yue Zhou +2
Pump-probe microscopy is an emerging nonlinear imaging technique based on high repetition rate lasers and fast intensity modulation. Here we present new methods for pump-probe micr…
Resolving the two-dimensional ANNNI model using transfer matrices
Yi Hu, Patrick Charbonneau
The phase diagram of the two-dimensional ANNNI model has long been theoretically debated. Extremely long structural correlations and relaxation times further result in numerical si…
Neural-adjoint method for the inverse design of all-dielectric metasurfaces
Yang Deng, Simiao Ren, Kebin Fan +2
All-dielectric metasurfaces exhibit exotic electromagnetic responses, similar to those obtained with metal-based metamaterials. Research in all-dielectric metasurfaces currently us…
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective
Jingwei Sun, Ang Li, Binghui Wang +3
Federated learning (FL) is a popular distributed learning framework that can reduce privacy risks by not explicitly sharing private data. However, recent works demonstrated that sh…