Single cycle RISC-V micro architecture processor and its FPGA prototype. - Don Kurian Dennis; Ayushi Priyam; Sukhpreet Singh Virk; Sajal Agrawal; Tanuj Sharma; Arijit Mondal; Kailash Chandra Ray (ISED, 2017)

Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices. - Don Kurian Dennis; Chirag Pabbaraju; Harsha Vardhan Simhadri; Prateek Jain 002 (NeurIPS, 2018)

Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices. - Don Kurian Dennis; Durmus Alp Emre Acar; Vikram Mandikal; Vinu Sankar Sadasivan; Venkatesh Saligrama; Harsha Vardhan Simhadri; Prateek Jain 002 (NeurIPS, 2019)

GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users. - Shishir G. Patil; Don Kurian Dennis; Chirag Pabbaraju; Nadeem Shaheer; Harsha Vardhan Simhadri; Vivek Seshadri; Manik Varma; Prateek Jain 002 (UIST, 2019)

Heterogeneity for the Win: One-Shot Federated Clustering. - Don Kurian Dennis; Tian Li 005; Virginia Smith (ICML, 2021)

Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts. - Amrith Setlur; Don Kurian Dennis; Benjamin Eysenbach; Aditi Raghunathan; Chelsea Finn; Virginia Smith; Sergey Levine (ICLR, 2023)

Progressive Ensemble Distillation: Building Ensembles for Efficient Inference. - Don Kurian Dennis; Abhishek Shetty; Anish Prasad Sevekari; Kazuhito Koishida; Virginia Smith (NeurIPS, 2023)

Progressive Knowledge Distillation: Building Ensembles for Efficient Inference. - Don Kurian Dennis; Abhishek Shetty; Anish Sevekari; Kazuhito Koishida; Virginia Smith (CoRR, 2023)

Revisiting Cascaded Ensembles for Efficient Inference. - Steven Kolawole; Don Kurian Dennis; Ameet Talwalkar; Virginia Smith (CoRR, 2024)

Agreement-Based Cascading for Efficient Inference. - Steven Kolawole; Don Kurian Dennis; Ameet Talwalkar; Virginia Smith (Trans. Mach. Learn. Res., 2025)