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Kris Sankaran
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2020 – today
- 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. Medical Imaging: 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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last updated on 2024-08-05 21:21 CEST by the dblp team
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