Picture for Xiliang Lu

Xiliang Lu

Accelerating Ill-conditioned Hankel Matrix Recovery via Structured Newton-like Descent

Add code
Jun 11, 2024
Viaarxiv icon

Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction

Add code
Mar 26, 2024
Figure 1 for Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
Figure 2 for Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
Figure 3 for Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
Figure 4 for Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
Viaarxiv icon

Neural Network Approximation for Pessimistic Offline Reinforcement Learning

Dec 19, 2023
Viaarxiv icon

Provable Advantage of Parameterized Quantum Circuit in Function Approximation

Oct 11, 2023
Figure 1 for Provable Advantage of Parameterized Quantum Circuit in Function Approximation
Figure 2 for Provable Advantage of Parameterized Quantum Circuit in Function Approximation
Viaarxiv icon

Current density impedance imaging with PINNs

Jun 24, 2023
Viaarxiv icon

GAS: A Gaussian Mixture Distribution-Based Adaptive Sampling Method for PINNs

Apr 07, 2023
Figure 1 for GAS: A Gaussian Mixture Distribution-Based Adaptive Sampling Method for PINNs
Figure 2 for GAS: A Gaussian Mixture Distribution-Based Adaptive Sampling Method for PINNs
Figure 3 for GAS: A Gaussian Mixture Distribution-Based Adaptive Sampling Method for PINNs
Figure 4 for GAS: A Gaussian Mixture Distribution-Based Adaptive Sampling Method for PINNs
Viaarxiv icon

Imaging Conductivity from Current Density Magnitude using Neural Networks

Apr 18, 2022
Figure 1 for Imaging Conductivity from Current Density Magnitude using Neural Networks
Figure 2 for Imaging Conductivity from Current Density Magnitude using Neural Networks
Figure 3 for Imaging Conductivity from Current Density Magnitude using Neural Networks
Figure 4 for Imaging Conductivity from Current Density Magnitude using Neural Networks
Viaarxiv icon

Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning

Apr 14, 2022
Figure 1 for Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning
Figure 2 for Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning
Figure 3 for Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning
Figure 4 for Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning
Viaarxiv icon

A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis

Nov 21, 2021
Figure 1 for A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis
Figure 2 for A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis
Figure 3 for A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis
Figure 4 for A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis
Viaarxiv icon

Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly

Sep 18, 2021
Figure 1 for Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly
Figure 2 for Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly
Viaarxiv icon