Search Results for author: Fan-Yun Sun

Found 12 papers, 4 papers with code

Partial-View Object View Synthesis via Filtered Inversion

no code implementations3 Apr 2023 Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Peter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber

At inference, given one or more views of a novel real-world object, FINV first finds a set of latent codes for the object by inverting the generative model from multiple initial seeds.


Equivariant Neural Network for Factor Graphs

no code implementations29 Sep 2021 Fan-Yun Sun, Jonathan Kuck, Hao Tang, Stefano Ermon

Several indices used in a factor graph data structure can be permuted without changing the underlying probability distribution.

Inductive Bias

Organ At Risk Segmentation with Multiple Modality

no code implementations17 Oct 2019 Kuan-Lun Tseng, Winston Hsu, Chun-ting Wu, Ya-Fang Shih, Fan-Yun Sun

To better leverage different modalities, we have collected a large dataset consists of 136 cases with CT and MR images which diagnosed with nasopharyngeal cancer.

Brain Tumor Segmentation Computed Tomography (CT) +5

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

4 code implementations ICLR 2020 Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, Jian Tang

There are also some recent methods based on language models (e. g. graph2vec) but they tend to only consider certain substructures (e. g. subtrees) as graph representatives.

Graph Classification Molecular Property Prediction +2

vGraph: A Generative Model for Joint Community Detection and Node Representation Learning

1 code implementation NeurIPS 2019 Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-wei Huang, Jian Tang

Experimental results on multiple real-world graphs show that vGraph is very effective in both community detection and node representation learning, outperforming many competitive baselines in both tasks.

Community Detection Representation Learning +1

A Regulation Enforcement Solution for Multi-agent Reinforcement Learning

no code implementations29 Jan 2019 Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin

If artificially intelligent (AI) agents make decisions on behalf of human beings, we would hope they can also follow established regulations while interacting with humans or other AI agents.

Management Multi-agent Reinforcement Learning +2

A Memory-Network Based Solution for Multivariate Time-Series Forecasting

2 code implementations6 Sep 2018 Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin

Inspired by Memory Network proposed for solving the question-answering task, we propose a deep learning based model named Memory Time-series network (MTNet) for time series forecasting.

Multivariate Time Series Forecasting Question Answering +1

ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models

no code implementations6 Sep 2018 Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang, Shou-De Lin

This work provides a thorough study on how reward scaling can affect performance of deep reinforcement learning agents.

reinforcement-learning Reinforcement Learning (RL)

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