DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. - Soumick Chatterjee; Kartik Prabhu; Mahantesh Pattadkal; Gerda Bortsova; Florian Dubost; Hendrik Mattern; Marleen de Bruijne; Oliver Speck; Andreas Nürnberger (CoRR, 2020)

A full-stack search technique for domain optimized deep learning accelerators. - Dan Zhang 004; Safeen Huda; Ebrahim M. Songhori; Kartik Prabhu; Quoc V. Le; Anna Goldie; Azalia Mirhoseini (ASPLOS, 2022)

DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. - Soumick Chatterjee; Kartik Prabhu; Mahantesh Pattadkal; Gerda Bortsova; Chompunuch Sarasaen; Florian Dubost; Hendrik Mattern; Marleen de Bruijne; Oliver Speck; Andreas Nürnberger (J. Imaging, 2022)

CHIMERA: A 0.92-TOPS, 2.2-TOPS/W Edge AI Accelerator With 2-MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference. - Kartik Prabhu; Albert Gural; Zainab F. Khan; Robert M. Radway; Massimo Giordano; Kalhan Koul; Rohan Doshi; John W. Kustin; Timothy Liu; Gregorio B. Lopes; Victor Turbiner; Win-San Khwa; et al. (IEEE J. Solid State Circuits, 2022)

Ultra-Dense 3D Physical Design Unlocks New Architectural Design Points with Large Benefits. - Tathagata Srimani; Robert M. Radway; Jinwoo Kim; Kartik Prabhu; Dennis Rich; Carlo Gilardi; Priyanka Raina; Max M. Shulaker; Sung Kyu Lim; Subhasish Mitra (DATE, 2023)

8-bit Transformer Inference and Fine-tuning for Edge Accelerators. - Jeffrey Yu; Kartik Prabhu; Yonatan Urman; Robert M. Radway; Eric Han; Priyanka Raina (ASPLOS (3), 2024)

MINOTAUR: An Edge Transformer Inference and Training Accelerator with 12 MBytes On-Chip Resistive RAM and Fine-Grained Spatiotemporal Power Gating. - Kartik Prabhu; Robert M. Radway; Y. Jeffrey; Kai Bartolone; Massimo Giordano; Fabian Peddinghaus; Yonatan Urman; Win-San Khwa; Yu-Der Chih; Meng-Fan Chang; Subhasish Mitra; Priyanka Raina (VLSI Technology and Circuits, 2024)

Aspen: A 630 FPS Real-Time Posit-Based Unified Accelerator for Extended Reality Perception Workloads. - Kathleen Feng; Kartik Prabhu; Kai Bartolone; Jeffrey Yu; Priyanka Raina (CICC, 2025)

MINOTAUR: A Posit-Based 0.42-0.50-TOPS/W Edge Transformer Inference and Training Accelerator. - Kartik Prabhu; Robert M. Radway; Jeffrey Yu; Kai Bartolone; Massimo Giordano; Fabian Peddinghaus; Yonatan Urman; Win-San Khwa; Yu-Der Chih; Meng-Fan Chang; Subhasish Mitra; Priyanka Raina (IEEE J. Solid State Circuits, 2025)