Publications

For an updated list please visit Google Scholar. * denotes equal contribution.

Conference and Journal Publications

2024

  1. NeurIPS 2024
    vlm4bio.png
    VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images
    M Maruf, Arka Daw, Kazi Sajeed Mehrab, and 8 more authors
    in proceedings of Neural Information Processing Systems (NeurIPS), 2024
  2. ECCV 2024
    phylodiff.png
    Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution
    Mridul Khurana, Arka Daw, M Maruf, and 8 more authors
    in proceedings of European Conference on Computer Vision (ECCV), 2024
  3. AIS
    memtrack.png
    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, and 3 more authors
    Advanced Intelligent Systems, 2024
  4. Ph.D. Dissertation
    thesis.png
    Physics-informed Machine Learning with Uncertainty Quantification
    Arka Daw
    Virginia Tech, 2024
  5. JAMES
    mcl.png
    Modular Compositional Learning Improves 1D Hydrodynamic Lake Model Performance by Merging Process-Based Modeling With Deep Learning
    Robert Ladwig, Arka Daw, Ellen A Albright, and 6 more authors
    Journal of Advances in Modeling Earth Systems, 2024

2023

  1. ICML 2023
    r3.png
    Mitigating propagation failures in physics-informed neural networks using retain-resample-release (r3) sampling
    Arka Daw, Jie Bu, Sifan Wang, and 2 more authors
    In Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA, 2023

2022

  1. IEEE Big Data 2022
    multitask.png
    Multi-task learning for source attribution and field reconstruction for methane monitoring
    Arka Daw, Kyongmin Yeo, Anuj Karpatne, and 1 more author
    In 2022 IEEE International Conference on Big Data (Big Data), 2022
  2. KGML Book
    pgnnbook.png
    Physics-guided neural networks (pgnn): An application in lake temperature modeling
    Arka Daw, Anuj Karpatne, William D Watkins, and 2 more authors
    In Knowledge Guided Machine Learning, 2022
  3. KGML Book
    pgabook.png
    Physics-guided architecture (PGA) of LSTM models for uncertainty quantification in lake temperature modeling
    Arka Daw, R Quinn Thomas, Cayelan C Carey, and 3 more authors
    In Knowledge Guided Machine Learning, 2022

2021

  1. NeurIPS 2021
    dam.png
    Learning compact representations of neural networks using discriminative masking (DAM)
    Jie Bu*Arka Daw*, M Maruf*, and 1 more author
    Advances in Neural Information Processing Systems, 2021
  2. KDD 2021
    pid.png
    PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics
    Arka Daw, M. Maruf, and Anuj Karpatne
    In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, Virtual Event, Singapore, 2021

2020

  1. SDM 2020
    pga.png
    Physics-guided architecture (pga) of neural networks for quantifying uncertainty in lake temperature modeling
    Arka Daw, R Quinn Thomas, Cayelan C Carey, and 3 more authors
    In Proceedings of the 2020 siam international conference on data mining, 2020

Preprints

2024

  1. Arxiv
    watermark.png
    AI-generated Image Detection: Passive or Watermark?
    Moyang Guo, Yuepeng Hu, Zhengyuan Jiang, and 4 more authors
    arXiv preprint arXiv:2411.13553, 2024
  2. Arxiv
    gfi.png
    A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations
    Naveen Gupta*, Medha Sawhney*Arka Daw*, and 2 more authors
    arXiv preprint arXiv:2410.11247, 2024
  3. Arxiv
    hcompnet.png
    What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits
    Harish Babu Manogaran, M Maruf, Arka Daw, and 8 more authors
    arXiv preprint arXiv:2409.02335, 2024
  4. Arxiv
    fishvista.png
    Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
    Kazi Sajeed Mehrab*, M Maruf*Arka Daw*, and 8 more authors
    arXiv preprint arXiv:2407.08027, 2024

2023

  1. Arxiv
    saliency.png
    Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation
    M Maruf, Arka Daw, Amartya Dutta, and 2 more authors
    arXiv preprint arXiv:2308.11052, 2023

2022

  1. BioRxiv
    pix2pix.png
    Deep Learning Enabled Label-free Cell Force Computation in Deformable Fibrous Environments
    Abinash Padhi*Arka Daw*, Medha Sawhney, and 5 more authors
    bioRxiv, 2022

Workshop Papers

2024

  1. NeurIPS 2024
    hips.png
    Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images
    Arka Daw, Megan Hong-Thanh Chung, Maria Mahbub, and 1 more author
    NeurIPS Workshop on New Frontiers in Adversarial Machine Learning, 2024
  2. NeurIPS 2024
    misstsm.png
    Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data
    Abhilash Neog, Arka Daw, Sepideh Fatemi Khorasgani, and 1 more author
    In NeurIPS Workshop on Time Series in the Age of Large Models, 2024
  3. ICML 2024
    lpfno.png
    Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations
    Aditya Kashi, Arka Daw, Muralikrishnan Gopalakrishnan Meena, and 1 more author
    AI4Science Workshop at International Conference on Machine Learning (ICML) 2024, 2024

2023

  1. CVPR 2023
    memtrack.png
    Detecting and Tracking Hard-to-Detect Bacteria in Dense Porous Backgrounds
    Medha Sawhney, Bhas Karmarkar, Eric J Leaman, and 3 more authors
    In CVPR Workshop on CV4Animals 2023, 2023

2022

  1. NeurIPS 2022
    source.png
    Source Identification and Field Reconstruction of Advection-Diffusion Process from Sparse Sensor Measurements
    Arka Daw, Anuj Karpatne, Kyongmin Yeo, and 1 more author
    In NeurIPS Workshop on Machine Learning for Physical Sciences (ML4PS), 2022

2020

  1. NeurIPS 2020
    pidworkshop.png
    Physics-informed discriminator (PID) for conditional generative adversarial nets
    Arka Daw, M Maruf, and Anuj Karpatne
    NeurIPS Workshop on Machine Learning for Physical Sciences (ML4PS), 2020

2019

  1. KDD 2019
    pgaworkshop.png
    Physics-aware architecture of neural networks for uncertainty quantification: Application in lake temperature modeling
    Arka Daw, and Anuj Karpatne
    In , 2019