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Arka Daw
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2020 – today
- 2024
- [b1]Arka Daw:
Physics-informed Machine Learning with Uncertainty Quantification. Virginia Tech, Blacksburg, VA, USA, 2024 - [j1]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) - [i13]Aditya Kashi, Arka Daw, Muralikrishnan Gopalakrishnan Meena
Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations. CoRR abs/2406.16740 (2024) - [i12]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 abs/2407.08027 (2024) - [i11]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:
Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution. CoRR abs/2408.00160 (2024) - [i10]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:
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images. CoRR abs/2408.16176 (2024) - [i9]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:
What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits. CoRR abs/2409.02335 (2024) - 2023
- [c5]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: 7264-7302 - [i8]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 abs/2308.11052 (2023) - [i7]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 abs/2310.09441 (2023) - 2022
- [c4]Arka Daw, Kyongmin Yeo, Anuj Karpatne, Levente J. Klein:
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring. IEEE Big Data 2022: 4835-4841 - [i6]Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne:
Rethinking the Importance of Sampling in Physics-informed Neural Networks. CoRR abs/2207.02338 (2022) - [i5]Arka Daw, Kyongmin Yeo, Anuj Karpatne, Levente J. Klein:
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring. CoRR abs/2211.00864 (2022) - 2021
- [c3]Arka Daw
PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics. KDD 2021: 237-247 - [c2]Jie Bu, Arka Daw, M. Maruf, Anuj Karpatne:
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM). NeurIPS 2021: 3491-3503 - [i4]Arka Daw, M. Maruf, Anuj Karpatne:
PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics. CoRR abs/2106.02993 (2021) - [i3]Jie Bu, Arka Daw, M. Maruf, Anuj Karpatne:
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM). CoRR abs/2110.00684 (2021) - 2020
- [c1]Arka Daw, R. Quinn Thomas
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. SDM 2020: 532-540 - [i2]Jie Bu, M. Maruf, Arka Daw:
Beyond Observed Connections : Link Injection. CoRR abs/2009.04447 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1911.02682 (2019)
Coauthor Index
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