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Arnav M. Das
Arnav M. Das
Verified email at uw.edu
Title
Cited by
Cited by
Year
High Resolution Point Clouds from mmWave Radar
A Prabhakara, T Jin, A Das, G Bhatt, L Kumari, E Soltanaghaei, J Bilmes, ...
IEEE International Conference on Robotics and Automation (ICRA), 2023
342023
Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers
A Khan, EA Huerta, A Das
Physics Letters B, 2020
312020
Epiphany: predicting hi-c contact maps from 1d epigenomic signals
R Yang*, A Das*, VR Gao, A Karbalayghareh, WS Noble, JA Bilmes, ...
Genome Biology 24 (1), 1-26, 2023
272023
Accelerating batch active learning using continual learning techniques
A Das*, G Bhatt*, M Bhalerao, V Gao, R Yang, J Bilmes
Transactions on Machine Learning Research, 2023
8*2023
Labelbench: A comprehensive framework for benchmarking adaptive label-efficient learning
J Zhang*, Y Chen*, G Canal, AM Das, G Bhatt, S Mussmann, Y Zhu, ...
Journal of Data-centric Machine Learning Research, 2024
4*2024
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
G Bhatt*, Y Chen*, AM Das*, J Zhang*, ST Truong, S Mussmann, Y Zhu, ...
Findings of the Association for Computational Linguistics: ACL, 2024
42024
ChromaFold predicts the 3D contact map from single-cell chromatin accessibility
VR Gao, R Yang, A Das, R Luo, H Luo, DR McNally, I Karagiannidis, ...
bioRxiv, 2023
32023
An End-to-End Submodular Framework for Data-Efficient In-Context Learning
L Kumari, S Wang, AM Das, T Zhou, J Bilmes
Findings of the Association for Computational Linguistics: NAACL, 3293-3308, 2024
12024
Effective Backdoor Mitigation Depends on the Pre-training Objective
S Verma, G Bhatt, S Singhal, AM Das, C Shah, JP Dickerson, J Bilmes
NeurIPS 2023 Workshop on Backdoors in Deep Learning-The Good, the Bad, and …, 2023
12023
Deep Submodular Peripteral Networks
G Bhatt*, A Das*, J Bilmes
Advances in Neural Information Processing Systems, 2024
2024
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learning
AM Das*, G Bhatt*, L Kumari, S Verma, J Bilmes
ICML 2024 Workshop on Data-Centric Machine Learning Research, 2024
2024
Prompting Foundational Models for Omni-supervised Instance Segmentation
AM Das, R Chaudhry, K Kundu, D Modolo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar
A Prabhakara, T Jin, A Das, G Bhatt, L Kumari, E Soltanaghai, J Bilmes, ...
Proceedings of the 29th Annual International Conference on Mobile Computing …, 2023
2023
Dose Minimization Game for Smartphones
N Stelter, A Das, Z Hanifah, R Uddin
International Conference on Nuclear Engineering 51531, V009T16A089, 2018
2018
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Articles 1–14