Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers. - Asad Khan; Eliu A. Huerta; Arnav Das 001 (CoRR, 2020)

High Resolution Point Clouds from mmWave Radar. - Akarsh Prabhakara; Tao Jin; Arnav Das 001; Gantavya Bhatt; Lilly Kumari; Elahe Soltanaghai; Jeff A. Bilmes; Swarun Kumar; Anthony Rowe 001 (ICRA, 2023)

RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar. - Akarsh Prabhakara; Tao Jin; Arnav Das 001; Gantavya Bhatt; Lilly Kumari; Elahe Soltanaghai; Jeff A. Bilmes; Swarun Kumar; Anthony Rowe 001 (MobiCom, 2023)

Effective Backdoor Mitigation Depends on the Pre-training Objective. - Sahil Verma; Gantavya Bhatt; Avi Schwarzschild; Soumye Singhal; Arnav Mohanty Das; Chirag Shah 001; John P. Dickerson; Jeff A. Bilmes (CoRR, 2023)

Accelerating Batch Active Learning Using Continual Learning Techniques. - Arnav Mohanty Das; Gantavya Bhatt; Megh Manoj Bhalerao; Vianne R. Gao; Rui Yang; Jeff A. Bilmes (Trans. Mach. Learn. Res., 2023)

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. - Gantavya Bhatt; Yifang Chen 001; Arnav Mohanty Das; Jifan Zhang; Sang T. Truong; Stephen Mussmann; Yinglun Zhu; Jeff A. Bilmes; Simon S. Du; Kevin G. Jamieson; Jordan T. Ash; Robert D. Nowak (ACL (Findings), 2024)

Prompting Foundational Models for Omni-supervised Instance Segmentation. - Arnav M. Das; Ritwick Chaudhry; Kaustav Kundu; Davide Modolo (CVPR Workshops, 2024)

An End-to-End Submodular Framework for Data-Efficient In-Context Learning. - Lilly Kumari; Shengjie Wang; Arnav Das 001; Tianyi Zhou 001; Jeff A. Bilmes (NAACL-HLT (Findings), 2024)

Deep Submodular Peripteral Networks. - Gantavya Bhatt; Arnav Das 001; Jeff A. Bilmes (NeurIPS, 2024)

How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold. - Sahil Verma; Royi Rassin; Arnav Das 001; Gantavya Bhatt; Preethi Seshadri; Chirag Shah 001; Jeff A. Bilmes; Hannaneh Hajishirzi; Yanai Elazar (CoRR, 2024)

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learning. - Arnav Mohanty Das; Gantavya Bhatt; Lilly Kumari; Sahil Verma; Jeff Bilmes (CoRR, 2024)

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation. - Arnav M. Das; Gantavya Bhatt; Lilly Kumari; Sahil Verma; Jeff Bilmes (CVPR, 2025)

PRimuS: Pretraining IMU Encoders with Multimodal Self-Supervision. - Arnav M. Das; Chi Ian Tang; Fahim Kawsar; Mohammad Malekzadeh (ICASSP, 2025)

Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective. - Sahil Verma; Gantavya Bhatt; Avi Schwarzschild; Soumye Singhal; Arnav Mohanty Das; Chirag Shah 001; John P. Dickerson; Pin-Yu Chen; Jeff Bilmes (Trans. Mach. Learn. Res., 2025)