Kris Sankaran - RankMe

28 papers A* 2B 1Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Semisynthetic simulation for microbiome data analysis. Briefings Bioinform. Kris Sankaran, Saritha Kodikara, Jingyi Jessica Li, Kim-Anh Lê Cao
2024	J	`jnl`	Data Science Principles for Interpretable and Explainable AI. CoRR Kris Sankaran
2024	J	`jnl`	mbtransfer: Microbiome intervention analysis using transfer functions and mirror statistics. PLoS Comput. Biol. Kris Sankaran, Pratheepa Jeganathan
2023	J	`jnl`	Bootstrap Confidence Regions for Learned Feature Embeddings. J. Comput. Graph. Stat. Kris Sankaran
2023	J	`jnl`	Tackling Climate Change with Machine Learning. ACM Comput. Surv. 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
2022	J	`jnl`	Artificial intelligence for climate change adaptation. WIREs Data Mining Knowl. Discov. So-Min Cheong, Kris Sankaran, Hamsa Bastani
2022	J	`jnl`	Discovering Concepts in Learned Representations using Statistical Inference and Interactive Visualization. CoRR Adrianna Janik, Kris Sankaran
2022	J	`jnl`	Interactive Visualization and Representation Analysis Applied to Glacier Segmentation. ISPRS Int. J. Geo Inf. Minxing Zheng, Xinran Miao, Kris Sankaran
2022	J	`jnl`	Mapping Glacial Lakes Using Historically Guided Segmentation Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Anthony Ortiz, Weiyushi Tian, Tenzing Chogyal Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
2022	J	`jnl`	Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data. CoRR Adrianna Janik, Kris Sankaran
2022	J	`jnl`	Source data selection for out-of-domain generalization. CoRR Xinran Miao, Kris Sankaran
2022	J	`jnl`	Spatial Transcriptomics Dimensionality Reduction using Wavelet Bases. CoRR Zhuoyan Xu, Kris Sankaran
2021	A*	`conf`	FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters. ICCV Yuwei Cheng, Jiannan Zhu, Mengxin Jiang, Jie Fu, Changsong Pang, Peidong Wang, Kris Sankaran, Olawale Onabola, Yimin Liu, Dianbo Liu, Yoshua Bengio
2021	J	`jnl`	Interactive Visualization and Representation Analysis Applied to Glacier Segmentation. CoRR Minxing Zheng, Xinran Miao, Kris Sankaran
2021	J	`jnl`	Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset. CoRR Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran
2021	B	`conf`	Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset. Image Processing Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran
2020	J	`jnl`	HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery. CoRR Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise, Yoshua Bengio
2020	J	`jnl`	Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya. CoRR Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Chogyal Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
2019	J	`jnl`	Applying Knowledge Transfer for Water Body Segmentation in Peru. CoRR Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran, Yoshua Bengio
2019	A*	`conf`	Hierarchical Importance Weighted Autoencoders. ICML Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville
2019	J	`jnl`	Hierarchical Importance Weighted Autoencoders. CoRR Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville
2019	—	`conf`	Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications. MLVis@EuroVis Adrianna Janik, Kris Sankaran, Anthony Ortiz
2019	J	`jnl`	Nanoscale Microscopy Images Colourisation Using Neural Networks. CoRR Israel Goytom, Qin Wang, Tianxiang Yu, Kris Sankaran, Dongdong Lin
2019	J	`jnl`	Tackling Climate Change with Machine Learning. CoRR 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
2019	J	`jnl`	Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks. CoRR Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer T. Chayes, Yoshua Bengio
2017	J	`jnl`	Multidomain analyses of a longitudinal human microbiome intestinal cleanout perturbation experiment. PLoS Comput. Biol. Julia Fukuyama, Laurie Rumker, Kris Sankaran, Pratheepa Jeganathan, Les Dethlefsen, David A. Relman, Susan P. Holmes
2012	J	`jnl`	A Hidden Markov Model Approach to Identifying Novel Functional Modules in Biological Networks. Int. J. Comput. Their Appl. Kris Sankaran, Siva Sankaran
2011	—	`conf`	A Hidden Markov Model Approach to Identifying Novel Functional Modules. BICoB Kris Sankaran, Siva Sankaran