Aristotle: stratified causal discovery for omics data

Mehrdad Mansouri , Sahand Khakabimamaghani , Leonid Chindelevitch , Martin Ester
BMC bioinformatics 23 ( 1) 42 -42

3
2022
Xiaowei Xu, 1996

Martin Ester , Hans-Peter Kriegel , Jiirg Sander
A density-based algorithm

2
Graph machine learning in drug discovery

Mohit Pandey , Atia Hamidizadeh , Mariia Radaeva , Michael Fernandez
Academic Press 141 -160

1
2023
Semi-Supervised Junction Tree Variational Autoencoder for Molecular Property Prediction

Atia Hamidizadeh , Tony Shen , Martin Ester
arXiv preprint arXiv:2208.05119

1
2022
Multi-treatment Effect Estimation from Biomedical Data

Raquel Aoki , Yizhou Chen , Martin Ester
299 -310

1
2022
An Interactive Visualization Tool for Understanding Active Learning

Zihan Wang , Jialin Lu , Oliver Snow , Martin Ester
arXiv preprint arXiv:2111.04936

1
2021
An active approach for model interpretation

Jialin Lu , Martin Ester
arXiv preprint arXiv:1910.12207

1
2019
Checking Functional Modularity in DNN By Biclustering Task-specific Hidden Neurons

Jialin Lu , Martin Ester
Real Neurons {\&} Hidden Units: Future directions at the intersection of neuroscience and artificial intelligence@ NeurIPS 2019

1
2019
Joint Cluster Analysis of Attribute Data and Relationship Data

Martin Ester , Rong Ge , Byron J Gao , Zengjian Hu
Constrained Clustering: Advances in Algorithms, Theory, and Applications 285 -285

1
2008
Association rules in the relational calculus

Oliver Schulte , Flavia Moser , Martin Ester , Zhiyong Lu
arXiv preprint arXiv:0710.2083

1
2007
A Disc-Based Approach to Data Summarization

Rong Ge , Martin Ester , Wen Jin , Zengjian Hu
Technical Report TR 2006-07

1
2006
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs

Yuzhen Mao , Martin Ester , Ke Li
arXiv preprint arXiv:2405.02842

2024
Adversarially Balanced Representation for Continuous Treatment Effect Estimation

Amirreza Kazemi , Martin Ester
Proceedings of the AAAI Conference on Artificial Intelligence 38 ( 12) 13085 -13093

2024
Phenotype prediction from single-cell RNA-seq data using attention-based neural networks

Yuzhen Mao , Yen-Yi Lin , Nelson KY Wong , Stanislav Volik
Bioinformatics btae067 -btae067

2024
scMUSCL: Multi-Source Transfer Learning for Clustering scRNA-seq Data

Arash Khoeini , Funda Sar , Yen-Yi Lin , Colin Collins
bioRxiv 2024.04. 22.590645 -2024.04. 22.590645

2024
TacoGFN: Target Conditioned GFlowNet for Drug Design

Tony Shen , Mohit Pandey , Martin Ester ,
NeurIPS 2023 Generative AI and Biology (GenBio) Workshop

2023
TacoGFN: Target Conditioned GFlowNet for Structure-Based Drug Design

Tony Shen , Seonghwan Seo , Grayson Lee , Mohit Pandey
arXiv preprint arXiv:2310.03223

2023
Better Calibration Error Estimation for Reliable Uncertainty Quantification

Shuman Peng , Parsa Alamzadeh , Martin Ester
ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH)

2023
Clinical Phenotype Prediction From Single-cell RNA-seq Data using Attention-Based Neural Networks

Yuzhen Mao , Yen-Yi Lin , Nelson KY Wong , Stanislav Volik
bioRxiv 2023.03. 31.532253 -2023.03. 31.532253

2023