Anuj Karpatne - RankMe

117 papers A* 18A 9B 1C 1Journal 74Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A continental-scale dataset of ground beetles with high-resolution images and validated morphological trait measurements. CoRR S. M. Rayeed, Mridul Khurana, Alyson East, Isadora E. Fluck, Elizabeth G. Campolongo, Samuel Stevens, Iuliia Zarubiieva, Scott C. Lowe, Michael W. Denslow, Evan Donoso, Jiaman Wu, Michelle Ramirez, Benjamin Baiser, Charles V. Stewart, Paula M. Mabee, Tanya Y. Berger-Wolf, Anuj Karpatne, Hilmar Lapp, Robert P. Guralnick, Graham W. Taylor, Sydne Record
2026	J	`jnl`	Investigating a Model-Agnostic and Imputation-Free Approach for Irregularly-Sampled Multivariate Time-Series Modeling. Trans. Mach. Learn. Res. Abhilash Neog, Arka Daw, Sepideh Fatemi, Medha Sawhney, Aanish Pradhan, Mary E. Lofton, Bennett J. McAfee, Adrienne Breef-Pilz, Heather L. Wander, Dexter W. Howard, Cayelan C. Carey, Paul C. Hanson, Anuj Karpatne
2026	A*	`conf`	Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science. AAAI Anuj Karpatne, Xiaowei Jia, Vipin Kumar
2026	J	`jnl`	TaxaAdapter: Vision Taxonomy Models are Key to Fine-grained Image Generation over the Tree of Life. CoRR Mridul Khurana, Amin Karimi Monsefi, Justin Lee, Medha Sawhney, David Carlyn, Julia Chae, Jianyang Gu, Rajiv Ramnath, Sara Beery, Wei-Lun Chao, Anuj Karpatne, Cheng Zhang
2026	J	`jnl`	VILLA: Versatile Information Retrieval From Scientific Literature Using Large LAnguage Models. CoRR Blessy Antony, Amartya Dutta, Sneha Aggarwal, Vasu Gatne, Ozan Gökdemir, Samantha Grimes, Adam Lauring, Brian R. Wasik, Anuj Karpatne, T. M. Murali
2025	A*	`conf`	A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations. ICLR Naveen Gupta, Medha Sawhney, Arka Daw, Youzuo Lin, Anuj Karpatne
2025	J	`jnl`	Beyond Loss Guidance: Using PDE Residuals as Spectral Attention in Diffusion Neural Operators. CoRR Medha Sawhney, Abhilash Neog, Mridul Khurana, Anuj Karpatne
2025	A*	`conf`	Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images. CVPR Kazi Sajeed Mehrab, M. Maruf, Arka Daw, Abhilash Neog, Harish Babu Manogaran, Mridul Khurana, Zhenyang Feng, Bahadir Altintas, Yasin Bakis, Elizabeth G. Campolongo, Matthew J. Thompson, Xiaojun Wang, Hilmar Lapp, Tanya Y. Berger-Wolf, Paula M. Mabee, Henry L. Bart Jr., Wei-Lun Chao, Wasila M. Dahdul, Anuj Karpatne
2025	J	`jnl`	Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data. CoRR Abhilash Neog, Arka Daw, Sepideh Fatemi Khorasgani, Anuj Karpatne
2025	J	`jnl`	Open World Scene Graph Generation using Vision Language Models. CoRR Amartya Dutta, Kazi Sajeed Mehrab, Medha Sawhney, Abhilash Neog, Mridul Khurana, Sepideh Fatemi Khorasgani, Aanish Pradhan, M. Maruf, Ismini Lourentzou, Arka Daw, Anuj Karpatne
2025	J	`jnl`	Prompt-CAM: A Simpler Interpretable Transformer for Fine-Grained Analysis. CoRR Arpita Chowdhury, Dipanjyoti Paul, Zheda Mai, Jianyang Gu, Ziheng Zhang, Kazi Sajeed Mehrab, Elizabeth G. Campolongo, Daniel I. Rubenstein, Charles V. Stewart, Anuj Karpatne, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
2025	A*	`conf`	Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis. CVPR Arpita Chowdhury, Dipanjyoti Paul, Zheda Mai, Jianyang Gu, Ziheng Zhang, Kazi Sajeed Mehrab, Elizabeth G. Campolongo, Daniel I. Rubenstein, Charles V. Stewart, Anuj Karpatne, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
2025	J	`jnl`	Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation. CoRR Zhenyang Feng, Zihe Wang, Saul Ibaven Bueno, Tomasz Frelek, Advikaa Ramesh, Jingyan Bai, Lemeng Wang, Zanming Huang, Jianyang Gu, Jinsu Yoo, Tai-Yu Pan, Arpita Chowdhury, Michelle Ramirez, Elizabeth G. Campolongo, Matthew J. Thompson, Christopher G. Lawrence, Sydne Record, Neil Rosser, Anuj Karpatne, Daniel I. Rubenstein, Hilmar Lapp, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
2025	J	`jnl`	TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation. CoRR Amin Karimi Monsefi, Mridul Khurana, Rajiv Ramnath, Anuj Karpatne, Wei-Lun Chao, Cheng Zhang
2025	A*	`conf`	What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits. ICLR Harish Babu Manogaran, M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Caleb Patrick Charpentier, Josef C. Uyeda, Wasila M. Dahdul, Matthew J. Thompson, Elizabeth G. Campolongo, Kaiya L. Provost, Wei-Lun Chao, Tanya Y. Berger-Wolf, Paula M. Mabee, Hilmar Lapp, Anuj Karpatne
2024	A*	`conf`	A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. ICLR Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Edward Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
2024	J	`jnl`	A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations. CoRR Naveen Gupta, Medha Sawhney, Arka Daw, Youzuo Lin, Anuj Karpatne
2024	J	`jnl`	Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images. CoRR Kazi Sajeed Mehrab, M. Maruf, Arka Daw, Harish Babu Manogaran, Abhilash Neog, Mridul Khurana, Bahadir Altintas, Yasin Bakis, Elizabeth G. Campolongo, Matthew J. Thompson, Xiaojun Wang, Hilmar Lapp, Wei-Lun Chao, Paula M. Mabee, Henry L. Bart Jr., Wasila M. Dahdul, Anuj Karpatne
2024	—	`conf`	Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution. ECCV (89) Mridul Khurana, Arka Daw, M. Maruf, Josef C. Uyeda, Wasila M. Dahdul, Caleb Charpentier, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Wei-Lun Chao, Charles V. Stewart, Tanya Y. Berger-Wolf, Anuj Karpatne
2024	J	`jnl`	Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution. CoRR Mridul Khurana, Arka Daw, M. Maruf, Josef C. Uyeda, Wasila M. Dahdul, Caleb Charpentier, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Wei-Lun Chao, Charles V. Stewart, Tanya Y. Berger-Wolf, Anuj Karpatne
2024	J	`jnl`	Knowledge-guided Machine Learning: Current Trends and Future Prospects. CoRR Anuj Karpatne, Xiaowei Jia, Vipin Kumar
2024	J	`jnl`	Motion Enhanced Multi-Level Tracker (MEMTrack): A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments. Adv. Intell. Syst. Medha Sawhney, Bhas Karmarkar, Eric J. Leaman, Arka Daw, Anuj Karpatne, Bahareh Behkam
2024	A*	`conf`	Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning. ICML Mohannad Elhamod, Anuj Karpatne
2024	A*	`conf`	VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images. NeurIPS M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Harish Babu Manogaran, Abhilash Neog, Medha Sawhney, Mridul Khurana, James P. Balhoff, Yasin Bakis, Bahadir Altintas, Matthew J. Thompson, Elizabeth G. Campolongo, Josef C. Uyeda, Hilmar Lapp, Henry L. Bart Jr., Paula M. Mabee, Yu Su, Wei-Lun Chao, Charles V. Stewart, Tanya Y. Berger-Wolf, Wasila M. Dahdul, Anuj Karpatne
2024	J	`jnl`	VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images. CoRR M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Harish Babu Manogaran, Abhilash Neog, Medha Sawhney, Mridul Khurana, James P. Balhoff, Yasin Bakis, Bahadir Altintas, Matthew J. Thompson, Elizabeth G. Campolongo, Josef C. Uyeda, Hilmar Lapp, Henry L. Bart Jr., Paula M. Mabee, Yu Su, Wei-Lun Chao, Charles V. Stewart, Tanya Y. Berger-Wolf, Wasila M. Dahdul, Anuj Karpatne
2024	J	`jnl`	What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits. CoRR Harish Babu Manogaran, M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Caleb Charpentier, Josef C. Uyeda, Wasila M. Dahdul, Matthew J. Thompson, Elizabeth G. Campolongo, Kaiya Provost, Paula M. Mabee, Hilmar Lapp, Anuj Karpatne
2023	J	`jnl`	A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. CoRR Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
2023	J	`jnl`	Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation. CoRR M. Maruf, Arka Daw, Amartya Dutta, Jie Bu, Anuj Karpatne
2023	A*	`conf`	Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. KDD Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila M. Dahdul, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne
2023	J	`jnl`	Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. CoRR Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila M. Dahdul, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne
2023	J	`jnl`	Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation. CoRR Jie Bu, Kazi Sajeed Mehrab, Anuj Karpatne
2023	J	`jnl`	MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments. CoRR Medha Sawhney, Bhas Karmarkar, Eric J. Leaman, Arka Daw, Anuj Karpatne, Bahareh Behkam
2023	A*	`conf`	Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling. ICML Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne
2023	J	`jnl`	Neuro-Visualizer: An Auto-encoder-based Loss Landscape Visualization Method. CoRR Mohannad Elhamod, Anuj Karpatne
2023	J	`jnl`	SIGAI Annual Report: July 1 2022 - August 30 2023. AI Matters Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Ziyu Yao, Anuj Karpatne, Alan Tsang, Matt Luckcuck
2023	J	`jnl`	Welcome to AI Matters 9(1). AI Matters Ziyu Yao, Anuj Karpatne
2023	J	`jnl`	Welcome to AI Matters 9(2). AI Matters Ziyu Yao, Anuj Karpatne
2023	J	`jnl`	Welcome to AI Matters 9(3). AI Matters Ziyu Yao, Anuj Karpatne
2022	B	`conf`	Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring. IEEE Big Data Arka Daw, Kyongmin Yeo, Anuj Karpatne, Levente J. Klein
2022	J	`jnl`	Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring. CoRR Arka Daw, Kyongmin Yeo, Anuj Karpatne, Levente J. Klein
2022	J	`jnl`	Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation. CoRR Sangeeta Srivastava, Samuel Olin, Viktor Podolskiy, Anuj Karpatne, Wei-Cheng Lee, Anish Arora
2022	J	`jnl`	Rethinking the Importance of Sampling in Physics-informed Neural Networks. CoRR Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne
2022	J	`jnl`	SIGAI Annual Report: July 1 2021 - June 30 2022. AI Matters Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Ziyu Yao, Anuj Karpatne, Alan Tsang, Matt Luckcuck
2022	J	`jnl`	Welcome to AI matters 8(1). AI Matters Anuj Karpatne, Ziyu Yao
2022	J	`jnl`	Welcome to AI matters 8(2). AI Matters Anuj Karpatne, Ziyu Yao
2022	J	`jnl`	Welcome to AI matters 8(3). AI Matters Anuj Karpatne, Ziyu Yao
2022	J	`jnl`	Welcome to AI matters 8(4). AI Matters Anuj Karpatne, Ziyu Yao
2021	J	`jnl`	A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning. CoRR Reza Sepasdar, Anuj Karpatne, Maryam Shakiba
2021	—	`conf`	A Graph Convolutional Neural Network Based Approach for Traffic Monitoring Using Augmented Detections with Optical Flow. ITSC Ioannis Papakis, Abhijit Sarkar, Anuj Karpatne
2021	J	`jnl`	Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation. CoRR Austin Chennault, Andrey A. Popov, Amit N. Subrahmanya, Rachel Cooper, Anuj Karpatne, Adrian Sandu
2021	A*	`conf`	Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM). NeurIPS Jie Bu, Arka Daw, M. Maruf, Anuj Karpatne
2021	J	`jnl`	Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM). CoRR Jie Bu, Arka Daw, M. Maruf, Anuj Karpatne
2021	—	`conf`	Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems. AAAI Spring Symposium: MLPS Mohannad Elhamod, Jie Bu, Christopher Singh, Matthew Redell, Abantika Ghosh, Viktor Podolskiy, Wei-Cheng Lee, Anuj Karpatne
2021	A	`conf`	Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach. SDM M. Maruf, Anuj Karpatne
2021	A*	`conf`	PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics. KDD Arka Daw, M. Maruf, Anuj Karpatne
2021	J	`jnl`	PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics. CoRR Arka Daw, M. Maruf, Anuj Karpatne
2021	A*	`conf`	PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields. ICDM Nikhil Muralidhar, Jie Bu, Ze Cao, Neil Raj, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
2021	A*	`conf`	Physics-Guided AI for Large-Scale Spatiotemporal Data. KDD Rose Yu, Paris Perdikaris, Anuj Karpatne
2021	J	`jnl`	Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. Trans. Data Sci. Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2021	—	`ed.`	Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to - 24th, 2021. AAAI Spring Symposium: MLPS Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Michael W. Mahoney, Anuj Karpatne, Matthew W. Farthing, Tyler J. Hesser
2021	A	`conf`	Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs. SDM Jie Bu, Anuj Karpatne
2021	J	`jnl`	Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs. CoRR Jie Bu, Anuj Karpatne
2021	J	`jnl`	SIGAI annual report: July 1 2020 - June 30 2021. AI Matters Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Todd W. Neller, Iolanda Leite, Anuj Karpatne, Alan Tsang
2021	J	`jnl`	Welcome to AI Matters 7(1). AI Matters Iolanda Leite, Anuj Karpatne
2021	J	`jnl`	Welcome to AI Matters 7(2). AI Matters Iolanda Leite, Anuj Karpatne
2021	J	`jnl`	Welcome to AI matters 7(3). AI Matters Iolanda Leite, Anuj Karpatne
2020	—	`conf`	Biodiversity Image Quality Metadata Augments Convolutional Neural Network Classification of Fish Species. MTSR Jeremy Leipzig, Yasin Bakis, Xiaojun Wang, Mohannad Elhamod, Kelly Diamond, Wasila M. Dahdul, Anuj Karpatne, A. Murat Maga, Paula M. Mabee, Henry L. Bart Jr., Jane Greenberg
2020	J	`jnl`	GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization. CoRR Ioannis Papakis, Abhijit Sarkar, Anuj Karpatne
2020	J	`jnl`	Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics. CoRR Jie Bu, Mohannad Elhamod, Christopher Singh, Matthew Redell, Wei-Cheng Lee, Anuj Karpatne
2020	J	`jnl`	Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach. CoRR M. Maruf, Anuj Karpatne
2020	A	`conf`	PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly. SDM Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
2020	A	`conf`	Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. SDM Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne
2020	J	`jnl`	Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems. Big Data Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
2020	J	`jnl`	Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. CoRR Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2020	C	`conf`	Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. IGARSS Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2020	J	`jnl`	SIGAI annual report: July 1 2019 - June 30 2020. AI Matters Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Todd W. Neller, Iolanda Leite, Anuj Karpatne
2020	J	`jnl`	Welcome to AI Matters 6(1). AI Matters Amy McGovern, Iolanda Leite, Anuj Karpatne
2020	J	`jnl`	Welcome to AI matters 6(2). AI Matters Iolanda Leite, Anuj Karpatne
2020	J	`jnl`	Welcome to AI matters 6(3). AI Matters Iolanda Leite, Anuj Karpatne
2019	J	`jnl`	A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series. CoRR Saurabh Agrawal, Saurabh Verma, Anuj Karpatne, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar
2019	A	`conf`	Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection. SDM Xiaowei Jia, Guruprasad Nayak, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2019	—	`book`	Introduction to Data Mining (Second Edition) Pang-Ning Tan, Michael S. Steinbach, Anuj Karpatne, Vipin Kumar
2019	J	`jnl`	Machine Learning for the Geosciences: Challenges and Opportunities. IEEE Trans. Knowl. Data Eng. Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, Vipin Kumar
2019	A	`conf`	Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. SDM Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar
2019	J	`jnl`	Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. CoRR Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne
2019	J	`jnl`	Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids. CoRR Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
2019	A*	`conf`	Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring. IJCAI Xiaowei Jia, Mengdie Wang, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2019	A	`conf`	Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. SDM Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar
2019	J	`jnl`	Welcome to AI matters 5(4). AI Matters Amy McGovern, Iolanda Leite, Anuj Karpatne
2018	—	`conf`	Incorporating Prior Domain Knowledge into Deep Neural Networks. IEEE BigData Nikhil Muralidhar, Mohammad Raihanul Islam, Manish Marwah, Anuj Karpatne, Naren Ramakrishnan
2018	J	`jnl`	Mining Sub-Interval Relationships In Time Series Data. CoRR Saurabh Agrawal, Saurabh Verma, Gowtham Atluri, Anuj Karpatne, Stefan Liess, Angus W. MacDonald III, Snigdhansu Chatterjee, Vipin Kumar
2018	J	`jnl`	Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. CoRR Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar
2018	J	`jnl`	Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes. CoRR Xiaowei Jia, Anuj Karpatne, Jared Willard, Michael S. Steinbach, Jordan S. Read, Paul C. Hanson, Hilary A. Dugan, Vipin Kumar
2018	J	`jnl`	Spatio-Temporal Data Mining: A Survey of Problems and Methods. ACM Comput. Surv. Gowtham Atluri, Anuj Karpatne, Vipin Kumar
2017	A*	`conf`	Big Data in Climate: Opportunities and Challenges for Machine Learning. KDD Anuj Karpatne, Vipin Kumar
2017	J	`jnl`	Discovery of Shifting Patterns in Sequence Classification. CoRR Xiaowei Jia, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2017	—	`conf`	Joint sparse auto-encoder: A semi-supervised spatio-temporal approach in mapping large-scale croplands. IEEE BigData Xiaowei Jia, Yifan Hu, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2017	J	`jnl`	Machine Learning for the Geosciences: Challenges and Opportunities. CoRR Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, Vipin Kumar
2017	J	`jnl`	ORBIT: Ordering Based Information Transfer Across Space and Time for Global Surface Water Monitoring. CoRR Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2017	J	`jnl`	Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling. CoRR Anuj Karpatne, William Watkins, Jordan S. Read, Vipin Kumar
2017	J	`jnl`	Spatio-Temporal Data Mining: A Survey of Problems and Methods. CoRR Gowtham Atluri, Anuj Karpatne, Vipin Kumar
2017	J	`jnl`	Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. IEEE Trans. Knowl. Data Eng. Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
2017	A*	`conf`	Tripoles: A New Class of Relationships in Time Series Data. KDD Saurabh Agrawal, Gowtham Atluri, Anuj Karpatne, William Haltom, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar
2016	—	`ch.`	Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities. Computational Sustainability Anuj Karpatne, Ankush Khandelwal, Xi Chen, Varun Mithal, James H. Faghmous, Vipin Kumar
2016	—	`conf`	Identifying dynamic changes with noisy labels in spatial-temporal data: A study on large-scale water monitoring application. IEEE BigData Xiaowei Jia, Xi Chen, Anuj Karpatne, Vipin Kumar
2016	J	`jnl`	Theory-guided Data Science: A New Paradigm for Scientific Discovery. CoRR Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
2015	J	`jnl`	A Guide to Earth Science Data: Summary and Research Challenges. Comput. Sci. Eng. Anuj Karpatne, Stefan Liess
2015	A*	`conf`	Adaptive Heterogeneous Ensemble Learning Using the Context of Test Instances. ICDM Anuj Karpatne, Vipin Kumar
2015	—	`conf`	Building Predictive Models for Noisy and Heterogeneous Data: An Application in Global Monitoring of Inland Water Dynamics. ICDM Workshops Anuj Karpatne, Vipin Kumar
2015	A	`conf`	Ensemble Learning Methods for Binary Classification with Multi-modality within the Classes. SDM Anuj Karpatne, Ankush Khandelwal, Vipin Kumar
2014	A	`conf`	Predictive Learning in the Presence of Heterogeneity and Limited Training Data. SDM Anuj Karpatne, Ankush Khandelwal, Shyam Boriah, Vipin Kumar
2013	—	`ch.`	Earth Science Applications of Sensor Data. Managing and Mining Sensor Data Anuj Karpatne, James H. Faghmous, Jaya Kawale, Luke Styles, Mace Blank, Varun Mithal, Xi Chen, Ankush Khandelwal, Shyam Boriah, Karsten Steinhaeuser, Michael S. Steinbach, Vipin Kumar, Stefan Liess
2013	J	`jnl`	Proximal support tensor machines. Int. J. Mach. Learn. Cybern. Reshma Khemchandani, Anuj Karpatne, Suresh Chandra
2013	J	`jnl`	Twin support vector regression for the simultaneous learning of a function and its derivatives. Int. J. Mach. Learn. Cybern. Reshma Khemchandani, Anuj Karpatne, Suresh Chandra
2012	—	`conf`	A new data mining framework for forest fire mapping. CIDU Xi C. Chen, Anuj Karpatne, Yashu Chamber, Varun Mithal, Michael Lau, Karsten Steinhaeuser, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Teji Abraham, J. D. Stanley, Juan Carlos Castilla-Rubio
2012	—	`conf`	Importance of vegetation type in forest cover estimation. CIDU Anuj Karpatne, Mace Blank, Michael Lau, Shyam Boriah, Karsten Steinhaeuser, Michael S. Steinbach, Vipin Kumar
2011	J	`jnl`	Generalized eigenvalue proximal support vector regressor. Expert Syst. Appl. Reshma Khemchandani, Anuj Karpatne, Suresh Chandra