Kris Sankaran

According to our database, Kris Sankaran authored at least 23 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

mbtransfer: Microbiome intervention analysis using transfer functions and mirror statistics.

Kris Sankaran, Pratheepa Jeganathan

PLoS Comput. Biol., 2024

Data Science Principles for Interpretable and Explainable AI.

Kris Sankaran

CoRR, 2024

2023

Bootstrap Confidence Regions for Learned Feature Embeddings.

Kris Sankaran

J. Comput. Graph. Stat., 2023

Tackling Climate Change with Machine Learning.

David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio

ACM Comput. Surv., 2023

2022

Artificial intelligence for climate change adaptation.

So-Min Cheong, Kris Sankaran, Hamsa Bastani

WIREs Data Mining Knowl. Discov., 2022

Mapping Glacial Lakes Using Historically Guided Segmentation Models.

Anthony Ortiz, Weiyushi Tian, Tenzing Chogyal Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Interactive Visualization and Representation Analysis Applied to Glacier Segmentation.

Minxing Zheng, Xinran Miao, Kris Sankaran

ISPRS Int. J. Geo Inf., 2022

Spatial Transcriptomics Dimensionality Reduction using Wavelet Bases.

Zhuoyan Xu, Kris Sankaran

CoRR, 2022

Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data.

Adrianna Janik, Kris Sankaran

CoRR, 2022

Discovering Concepts in Learned Representations using Statistical Inference and Interactive Visualization.

Adrianna Janik, Kris Sankaran

CoRR, 2022

Source data selection for out-of-domain generalization.

Xinran Miao, Kris Sankaran

CoRR, 2022

2021

Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset.

Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters.

Yuwei Cheng, Jiannan Zhu, Mengxin Jiang, Jie Fu, Changsong Pang, Peidong Wang, Kris Sankaran, Olawale Onabola, Yimin Liu, Dianbo Liu, Yoshua Bengio

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya.

Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Chogyal Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan Lavista Ferres, Mir Matin, Yoshua Bengio

CoRR, 2020

HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery.

Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise, Yoshua Bengio

CoRR, 2020

2019

Nanoscale Microscopy Images Colourisation Using Neural Networks.

Israel Goytom, Qin Wang, Tianxiang Yu, Kris Sankaran, Dongdong Lin

CoRR, 2019

Applying Knowledge Transfer for Water Body Segmentation in Peru.

Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran, Yoshua Bengio

CoRR, 2019

Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks.

Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer T. Chayes, Yoshua Bengio

CoRR, 2019

Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications.

Adrianna Janik, Kris Sankaran, Anthony Ortiz

Proceedings of the 2nd Workshop on Machine Learning Methods in Visualisation for Big Data, 2019

Hierarchical Importance Weighted Autoencoders.

Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Multidomain analyses of a longitudinal human microbiome intestinal cleanout perturbation experiment.

Julia Fukuyama, Laurie Rumker, Kris Sankaran, Pratheepa Jeganathan, Les Dethlefsen, David A. Relman, Susan P. Holmes

PLoS Comput. Biol., 2017

2012

A Hidden Markov Model Approach to Identifying Novel Functional Modules in Biological Networks.

Kris Sankaran, Siva Sankaran

Int. J. Comput. Their Appl., 2012

2011

A Hidden Markov Model Approach to Identifying Novel Functional Modules.

Kris Sankaran, Siva Sankaran

Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, 2011