Arka Daw
According to our database1,
Arka Daw
authored at least 9 papers
between 2020 and 2023.
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Bibliography
2023
MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments.
CoRR, 2023
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation.
CoRR, 2023
Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling.
Proceedings of the International Conference on Machine Learning, 2023
2022
CoRR, 2022
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM).
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.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
2020
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020