Arka Daw

31 papers A* 7A 1B 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
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
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 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 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 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
AI-generated Image Detection: Passive or Watermark?
CoRR
Moyang Guo, Yuepeng Hu, Zhengyuan Jiang, Zeyu Li, Amir Sadovnik, Arka Daw, Neil Gong
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 J jnl
Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images.
CoRR
Arka Daw, Megan Hong-Thanh Chung, Maria Mahbub, Amir Sadovnik
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
Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations.
CoRR
Aditya Kashi, Arka Daw, Muralikrishnan Gopalakrishnan Meena, Hao Lu
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 — —
Physics-informed Machine Learning with Uncertainty Quantification.
Arka Daw
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
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 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
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
Rethinking the Importance of Sampling in Physics-informed Neural Networks.
CoRR
Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne
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 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
2020 J jnl
Beyond Observed Connections : Link Injection.
CoRR
Jie Bu, M. Maruf, Arka Daw
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
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