robinlau1981
Bin's current research interests lies in theories & algorithms with respect to deep learning, Bayesian statistics, optimization, signal processing, etc.
Zhejiang LabChina
Pinned Repositories
AAIS
Matlab Code to Implement the Adaptive Annealed Importance Sampling (AAIS) Algorithm
AAIS_for_Rastrigin
Adaptive annealed importance sampling method with application to sampling from a Rastrigin function type posterior
AdversarialEnsembleDNN
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models
BDEMM
A toy matlab code to implement the robust sequentimal Monte Carlo method developed under the framework of Bayesian Dynamic Ensemble of Multiple Models (BDEMM)
dmapf
Robust particle filter based on dynamic averaging of multiple noise models
E2E-Spot-MBS
Code to implement the Runner-up Solution to the CVPR'23 SoccerNet Challenge (Ball Action Spotting Task)
fusion
A Robust Dynamic Multi-Modal Data Fusion Algorithm
HS-OMRL
Python code to implement hard sampling based task representation learning for robust offline meta RL
LLM4RL
A RL approach to enable cost-effective, intelligent interactions between a local agent and a remote LLM
MarginalLikelihoodEstimator
Matlab code for the adaptive annealed importance sampling based marginal likelihood estimator.
robinlau1981's Repositories
robinlau1981/dmapf
Robust particle filter based on dynamic averaging of multiple noise models
robinlau1981/fusion
A Robust Dynamic Multi-Modal Data Fusion Algorithm
robinlau1981/MarginalLikelihoodEstimator
Matlab code for the adaptive annealed importance sampling based marginal likelihood estimator.
robinlau1981/AAIS
Matlab Code to Implement the Adaptive Annealed Importance Sampling (AAIS) Algorithm
robinlau1981/AAIS_for_Rastrigin
Adaptive annealed importance sampling method with application to sampling from a Rastrigin function type posterior
robinlau1981/AdversarialEnsembleDNN
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models
robinlau1981/BDEMM
A toy matlab code to implement the robust sequentimal Monte Carlo method developed under the framework of Bayesian Dynamic Ensemble of Multiple Models (BDEMM)
robinlau1981/E2E-Spot-MBS
Code to implement the Runner-up Solution to the CVPR'23 SoccerNet Challenge (Ball Action Spotting Task)
robinlau1981/HS-OMRL
Python code to implement hard sampling based task representation learning for robust offline meta RL
robinlau1981/LLM4RL
A RL approach to enable cost-effective, intelligent interactions between a local agent and a remote LLM
robinlau1981/SMC_Multi_Testing
Sequential Monte Carlo Method for Bayesian Multiple Testing of Pairwise Interactions among Large Number of Neurons
robinlau1981/LLM4Teach
Python code to implement LLM4Teach, a policy distillation approach for teaching reinforcement learning agents with Large Language Model
robinlau1981/PFGE
Python codes to implement the PFGE algorithm
robinlau1981/PSWA
Python codes to implement the periodic stochastic weight averaging (PSWA) algorithm
robinlau1981/Q-Net
Python codes to implement Q-Net, a meta-learning method for few shot medical image segmentation
robinlau1981/Restormer-Plus
Code to implement Restormer-Plus, the Runner-up Solution to the GT-RAIN Challenge (CVPR 2023 UG2+ Track 3)