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Found 8 papers, 4 papers with code
Rotatable Antenna Enabled Wireless Communication System with Visual Recognition: A Prototype Implementation
In this demonstration, we develop a prototype of RA-enabled wireless communication system with visual recognition module to evaluate the performance gains provided by the RA in practical environments.
A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems
Industrial ads ranking systems conventionally rely on labeled impression data, which leads to challenges such as overfitting, slower incremental gain from model scaling, and biases due to discrepancies between training and serving data.
Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction
This problem has been studied in a classical abstract model, the HP model, where the protein is modeled as a sequence of H (hydrophobic) and P (polar) amino acids on a lattice.
New Binary Black Hole Mergers in the Second Observing Run of Advanced LIGO and Advanced Virgo
The most secure new event, GW170121 ($p_{\rm astro} > 0. 99$), is also notable due to its inferred negative value of $\chi_{\rm eff}$, which is inconsistent with being positive at the $\approx 95. 8\%$ confidence level.
High Energy Astrophysical Phenomena Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics General Relativity and Quantum Cosmology
A Highly Spinning and Aligned Binary Black Hole Merger in the Advanced LIGO First Observing Run
We report a new binary black hole merger in the publicly available LIGO First Observing Run (O1) data release.
High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics General Relativity and Quantum Cosmology
Heating of the intergalactic medium by the cosmic microwave background during cosmic dawn
We also find that the effect is more dramatic in non-standard scenarios that either enhance the radio background above the CMB or invoke new physics to cool the gas in order to explain the EDGES results.
Cosmology and Nongalactic Astrophysics
Sequential Monte Carlo Methods for System Identification
One of the key challenges in identifying nonlinear and possibly non-Gaussian state space models (SSMs) is the intractability of estimating the system state.
Sparse Estimation From Noisy Observations of an Overdetermined Linear System
This note studies a method for the efficient estimation of a finite number of unknown parameters from linear equations, which are perturbed by Gaussian noise.
