Arka Daw

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Weakly Supervised

Top Venues

Publications

Medha Sawhney, Bhas Karmarkar, Eric J. Leaman, Arka Daw, Anuj Karpatne, Bahareh Behkam
Motion Enhanced Multi-Level Tracker (MEMTrack): A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments. Adv. Intell. Syst. 6 (4) (2024)
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
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images. CoRR (2024)
Aditya Kashi, Arka Daw, Muralikrishnan Gopalakrishnan Meena, Hao Lu
Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations. CoRR (2024)
Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne
Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling. ICML (2023)
Medha Sawhney, Bhas Karmarkar, Eric J. Leaman, Arka Daw, Anuj Karpatne, Bahareh Behkam
MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments. CoRR (2023)
M. Maruf, Arka Daw, Amartya Dutta, Jie Bu, Anuj Karpatne
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation. CoRR (2023)
Arka Daw, Kyongmin Yeo, Anuj Karpatne, Levente J. Klein
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring. CoRR (2022)
Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne
Rethinking the Importance of Sampling in Physics-informed Neural Networks. CoRR (2022)
Arka Daw, Kyongmin Yeo, Anuj Karpatne, Levente J. Klein
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring. Big Data (2022)
Arka Daw, M. Maruf, Anuj Karpatne
PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics. KDD (2021)
Jie Bu, Arka Daw, M. Maruf, Anuj Karpatne
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM). CoRR (2021)
Jie Bu, Arka Daw, M. Maruf, Anuj Karpatne
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM). NeurIPS (2021)
Arka Daw, M. Maruf, Anuj Karpatne
PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics. CoRR (2021)
Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. SDM (2020)
Jie Bu, M. Maruf, Arka Daw
Beyond Observed Connections : Link Injection. CoRR (2020)
Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. CoRR (2019)