
Distributionally Robust Prescriptive Analytics with Wasserstein Distance
In prescriptive analytics, the decisionmaker observes historical sample...
read it

Spatially Invariant Unsupervised 3D Object Segmentation with Graph Neural Networks
In this paper, we tackle the problem of unsupervised 3D object segmentat...
read it

An optical neural network using less than 1 photon per multiplication
Deep learning has rapidly become a widespread tool in both scientific an...
read it

Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
Deep neural networks have become a pervasive tool in science and enginee...
read it

Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata
This paper presents a method for learning logical task specifications an...
read it

dameflame: A Python Library Providing Fast Interpretable Matching for Causal Inference
dameflame is a Python package for performing matching for observational...
read it

Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning
This paper focuses on inverse reinforcement learning for autonomous navi...
read it

Reconstruction of Backbone Curves for Snake Robots
Snake robots composed of alternating singleaxis pitch and yaw joints ha...
read it

Episodic Linear Quadratic Regulators with Lowrank Transitions
Linear Quadratic Regulators (LQR) achieve enormous successful realworld...
read it

Random Walk Bandits
Bandit learning problems find important applications ranging from medica...
read it

Bandits for BMO Functions
We study the bandit problem where the underlying expected reward is a Bo...
read it

Adaptive Discretization for ModelBased Reinforcement Learning
We introduce the technique of adaptive discretization to design efficien...
read it

Learning Navigation Costs from Demonstration with Semantic Observations
This paper focuses on inverse reinforcement learning (IRL) for autonomou...
read it

Directional Compliance in ObstacleAided Navigation for Snake Robots
Snake robots have the potential to maneuver through tightly packed and c...
read it

Learning Navigation Costs from Demonstration in Partially Observable Environments
This paper focuses on inverse reinforcement learning (IRL) to enable saf...
read it

Instance Shadow Detection
Instance shadow detection is a brand new problem, aiming to find shadow ...
read it

Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
Shadow detection in general photos is a nontrivial problem, due to the c...
read it

Large Scale Model Predictive Control with Neural Networks and Primal Active Sets
This work presents an explicitimplicit procedure that combines an offli...
read it

Transfer Learning for Hate Speech Detection in Social Media
In today's society more and more people are connected to the Internet, a...
read it

Shortest Paths in HSI Space for Color Texture Classification
Color texture representation is an important step in the task of texture...
read it

Spatial Attentive SingleImage Deraining with a High Quality Real Rain Dataset
Removing rain streaks from a single image has been drawing considerable ...
read it

A Practical Bandit Method with Advantages in Neural Network Tuning
Stochastic bandit algorithms can be used for challenging nonconvex opti...
read it

FLAME: A Fast Largescale Almost Matching Exactly Approach to Causal Inference
A classical problem in causal inference is that of matching, where treat...
read it
Tianyu Wang
verfied profile