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ORCIDKris Sankaran
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2020 – today
- 2024
[j8]Kris Sankaran
, Pratheepa Jeganathan:
mbtransfer: Microbiome intervention analysis using transfer functions and mirror statistics. PLoS Comput. Biol. 20(6): 1012196 (2024)- [i14]Kris Sankaran:
Data Science Principles for Interpretable and Explainable AI. CoRR abs/2405.10552 (2024) - 2023
- [j7]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): 42:1-42:96 (2023) - [j6]Kris Sankaran:
Bootstrap Confidence Regions for Learned Feature Embeddings. J. Comput. Graph. Stat. 32(4): 1337-1347 (2023) - 2022
- [j5]Minxing Zheng, Xinran Miao, Kris Sankaran:
Interactive Visualization and Representation Analysis Applied to Glacier Segmentation. ISPRS Int. J. Geo Inf. 11(8): 415 (2022) - [j4]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: 9226-9240 (2022) - [j3]So-Min Cheong, Kris Sankaran, Hamsa Bastani:
Artificial intelligence for climate change adaptation. WIREs Data Mining Knowl. Discov. 12(5) (2022) - [i13]Xinran Miao, Kris Sankaran:
Source data selection for out-of-domain generalization. CoRR abs/2202.02155 (2022) - [i12]Adrianna Janik, Kris Sankaran:
Discovering Concepts in Learned Representations using Statistical Inference and Interactive Visualization. CoRR abs/2202.04753 (2022) - [i11]Adrianna Janik, Kris Sankaran:
Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data. CoRR abs/2202.04766 (2022) - [i10]Zhuoyan Xu, Kris Sankaran:
Spatial Transcriptomics Dimensionality Reduction using Wavelet Bases. CoRR abs/2205.11243 (2022) - 2021
- [c5]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: 10933-10942 - [c4]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. Image Processing 2021 - [i9]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 abs/2103.08590 (2021) - [i8]Minxing Zheng, Xinran Miao, Kris Sankaran:
Interactive Visualization and Representation Analysis Applied to Glacier Segmentation. CoRR abs/2112.08184 (2021) - 2020
- [i7]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 abs/2002.06460 (2020) - [i6]Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Chogyal 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 abs/2012.05013 (2020)
2010 – 2019
- 2019
- [c3]Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville:
Hierarchical Importance Weighted Autoencoders. ICML 2019: 2869-2878 - [c2]Adrianna Janik, Kris Sankaran, Anthony Ortiz:
Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications. MLVis@EuroVis 2019: 7-11 - [i5]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 abs/1905.03709 (2019) - [i4]Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville:
Hierarchical Importance Weighted Autoencoders. CoRR abs/1905.04866 (2019) - [i3]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 abs/1906.05433 (2019) - [i2]Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran, Yoshua Bengio:
Applying Knowledge Transfer for Water Body Segmentation in Peru. CoRR abs/1912.00957 (2019) - [i1]Israel Goytom, Qin Wang, Tianxiang Yu, Kris Sankaran, Dongdong Lin:
Nanoscale Microscopy Images Colourisation Using Neural Networks. CoRR abs/1912.07964 (2019) - 2017
- [j2]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) - 2012
- [j1]Kris Sankaran, Siva Sankaran:
A Hidden Markov Model Approach to Identifying Novel Functional Modules in Biological Networks. Int. J. Comput. Their Appl. 19(2): 82-92 (2012) - 2011
- [c1]Kris Sankaran, Siva Sankaran:
A Hidden Markov Model Approach to Identifying Novel Functional Modules. BICoB 2011: 239-244
Coauthor Index
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