Kris Sankaran

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 24

Top Topics

Interactive Visualization

Mri Segmentation

Top Venues

WIREs Data Mining Knowl. Discov.

J. Comput. Graph. Stat.

Publications

Kris Sankaran
Data Science Principles for Interpretable and Explainable AI. CoRR (2024)
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
Tackling Climate Change with Machine Learning. ACM Comput. Surv. 55 (2) (2023)
Kris Sankaran
Bootstrap Confidence Regions for Learned Feature Embeddings. J. Comput. Graph. Stat. 32 (4) (2023)
Anthony Ortiz, Weiyushi Tian, Tenzing Chogyal Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
Mapping Glacial Lakes Using Historically Guided Segmentation Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Adrianna Janik, Kris Sankaran
Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data. CoRR (2022)
Xinran Miao, Kris Sankaran
Source data selection for out-of-domain generalization. CoRR (2022)
Minxing Zheng, Xinran Miao, Kris Sankaran
Interactive Visualization and Representation Analysis Applied to Glacier Segmentation. ISPRS Int. J. Geo Inf. 11 (8) (2022)
So-Min Cheong, Kris Sankaran, Hamsa Bastani
Artificial intelligence for climate change adaptation. WIREs Data Mining Knowl. Discov. 12 (5) (2022)
Zhuoyan Xu, Kris Sankaran
Spatial Transcriptomics Dimensionality Reduction using Wavelet Bases. CoRR (2022)
Adrianna Janik, Kris Sankaran
Discovering Concepts in Learned Representations using Statistical Inference and Interactive Visualization. CoRR (2022)
Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran
Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset. CoRR (2021)
Minxing Zheng, Xinran Miao, Kris Sankaran
Interactive Visualization and Representation Analysis Applied to Glacier Segmentation. CoRR (2021)
Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran
Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset. Medical Imaging: Image Processing (2021)
Yuwei Cheng, Jiannan Zhu, Mengxin Jiang, Jie Fu, Changsong Pang, Peidong Wang, Kris Sankaran, Olawale Onabola, Yimin Liu, Dianbo Liu, Yoshua Bengio
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters. ICCV (2021)
Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise, Yoshua Bengio
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery. CoRR (2020)
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan Lavista Ferres, Mir Matin, Yoshua Bengio
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya. CoRR (2020)
Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville
Hierarchical Importance Weighted Autoencoders. ICML (2019)
Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer T. Chayes, Yoshua Bengio
Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks. CoRR (2019)
Israel Goytom, Qin Wang, Tianxiang Yu, Kris Sankaran, Dongdong Lin
Nanoscale Microscopy Images Colourisation Using Neural Networks. CoRR (2019)
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 Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Körding, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio
Tackling Climate Change with Machine Learning. CoRR (2019)
Adrianna Janik, Kris Sankaran, Anthony Ortiz
Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications. MLVis@EuroVis (2019)
Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran, Yoshua Bengio
Applying Knowledge Transfer for Water Body Segmentation in Peru. CoRR (2019)
Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville
Hierarchical Importance Weighted Autoencoders. CoRR (2019)
Julia Fukuyama, Laurie Rumker, Kris Sankaran, Pratheepa Jeganathan, Les Dethlefsen, David A. Relman, Susan P. Holmes
Multidomain analyses of a longitudinal human microbiome intestinal cleanout perturbation experiment. PLoS Comput. Biol. 13 (8) (2017)
Kris Sankaran, Siva Sankaran
A Hidden Markov Model Approach to Identifying Novel Functional Modules in Biological Networks. Int. J. Comput. Their Appl. 19 (2) (2012)
Kris Sankaran, Siva Sankaran
A Hidden Markov Model Approach to Identifying Novel Functional Modules. BICoB (2011)