Arka Daw

According to our database, Arka Daw authored at least 23 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Open World Scene Graph Generation using Vision Language Models.

Amartya Dutta, Kazi Sajeed Mehrab, Medha Sawhney, Abhilash Neog, Mridul Khurana, Sepideh Fatemi Khorasgani, Aanish Pradhan, M. Maruf, Ismini Lourentzou, Arka Daw, Anuj Karpatne

CoRR, June, 2025

Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data.

Abhilash Neog, Arka Daw, Sepideh Fatemi Khorasgani, Anuj Karpatne

CoRR, February, 2025

What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations.

Naveen Gupta, Medha Sawhney, Arka Daw, Youzuo Lin, Anuj Karpatne

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Motion Enhanced Multi-Level Tracker (MEMTrack): A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments.

Medha Sawhney, Bhas Karmarkar, Eric J. Leaman, Arka Daw, Anuj Karpatne, Bahareh Behkam

Adv. Intell. Syst., April, 2024

Physics-informed Machine Learning with Uncertainty Quantification.

Arka Daw

PhD thesis, 2024

AI-generated Image Detection: Passive or Watermark?

Moyang Guo, Yuepeng Hu, Zhengyuan Jiang, Zeyu Li, Amir Sadovnik, Arka Daw, Neil Gong

CoRR, 2024

Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images.

Arka Daw, Megan Hong-Thanh Chung, Maria Mahbub, Amir Sadovnik

CoRR, 2024

What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits.

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

CoRR, 2024

Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images.

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

CoRR, 2024

Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations.

Aditya Kashi, Arka Daw, Muralikrishnan Gopalakrishnan Meena, Hao Lu

CoRR, 2024

VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution.

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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments.

Medha Sawhney, Bhas Karmarkar, Eric J. Leaman, Arka Daw, Anuj Karpatne, Bahareh Behkam

CoRR, 2023

Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation.

M. Maruf, Arka Daw, Amartya Dutta, Jie Bu, Anuj Karpatne

CoRR, 2023

Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling.

Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne

Proceedings of the International Conference on Machine Learning, 2023

2022

Rethinking the Importance of Sampling in Physics-informed Neural Networks.

Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne

CoRR, 2022

Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring.

Arka Daw, Kyongmin Yeo, Anuj Karpatne, Levente J. Klein

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM).

Jie Bu, Arka Daw, M. Maruf, Anuj Karpatne

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics.

Arka Daw, M. Maruf, Anuj Karpatne

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Beyond Observed Connections : Link Injection.

Jie Bu, M. Maruf, Arka Daw

CoRR, 2020

Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling.

Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020