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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, ...
ICRA 2023, 2023
47*2023
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
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
Accelerating Batch Active Learning Using Continual Learning Techniques
A Das*, G Bhatt*, M Bhalerao, V Gao, R Yang, J Bilmes
TMLR 2023, 2023
11*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, ...
DMLR 2024, 2024
9*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, ...
ACL Findings 2024, 2024
92024
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, ...
Nature Communications 15 (1), 9432, 2024
62024
An End-to-End Submodular Framework for Data-Efficient In-Context Learning
L Kumari, S Wang, AM Das, T Zhou, J Bilmes
NAACL Findings 2024, 2024
42024
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective
S Verma, G Bhatt, A Schwarzschild, S Singhal, AM Das, C Shah, ...
TMLR 2025, 2025
2*2025
Deep Submodular Peripteral Networks
G Bhatt*, A Das*, J Bilmes
NeurIPS 2024 (Spotlight), 2024
12024
RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar
A Prabhakara, T Jin, A Das, G Bhatt, L Kumari, E Soltanaghai, J Bilmes, ...
MobiCom 2023, 2023
12023
PRIMUS: Pretraining IMU Encoders with Multimodal Self-Supervision
AM Das, CI Tang, F Kawsar, M Malekzadeh
ICASSP 2025, 2025
2025
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learning
AM Das*, G Bhatt*, L Kumari, S Verma, J Bilmes
arXiv preprint arXiv:2412.17684, 2024
2024
How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold
S Verma, R Rassin, AM Das, G Bhatt, P Seshadri, C Shah, J Bilmes, ...
NeurIPS 2024 Workshop on Safe Generative AI, 2024
2024
Prompting Foundation Models for Omni-Supervised Instance Segmentation
AM Das, R Chaudhry, K Kundu, D Modolo
CVPR 2024 Workshop on Prompting in Vision, 2024
2024
Dose Minimization Game for Smartphones
N Stelter, A Das, Z Hanifah, R Uddin
International Conference on Nuclear Engineering, 2018
2018
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Articles 1–16