Vinay Joshi - RankMe

17 papers B 1C 2Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks. CoRR Jianghui Wang, Vinay Joshi, Saptarshi Majumder, Xu Chao, Bin Ding, Ziqiong Liu, Pratik Prabhanjan Brahma, Dong Li, Zicheng Liu, Emad Barsoum
2025	—	`conf`	TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering. ACL (6) Vinay Joshi, Pratik Prabhanjan Brahma, Zicheng Liu, Emad Barsoum
2025	J	`jnl`	TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering. CoRR Vinay Joshi, Pratik Prabhanjan Brahma, Zicheng Liu, Emad Barsoum
2024	J	`jnl`	CiMNet: Towards Joint Optimization for DNN Architecture and Configuration for Compute-In-Memory Hardware. CoRR Souvik Kundu, Anthony Sarah, Vinay Joshi, Om Ji Omer, Sreenivas Subramoney
2024	J	`jnl`	QCQA: Quality and Capacity-aware grouped Query Attention. CoRR Vinay Joshi, Prashant Laddha, Shambhavi Sinha, Om Ji Omer, Sreenivas Subramoney
2024	B	`conf`	Towards Robust mmWave-based Human Activity Recognition using Large Simulated Dataset for Model Pretraining. IEEE Big Data Vinay Joshi, Shengkai Xu, Qiming Cao, Yi Zhu, Pu Wang, Hongfei Xue
2022	J	`jnl`	A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference. CoRR Manuel Le Gallo, Riduan Khaddam-Aljameh, Milos Stanisavljevic, Athanasios Vasilopoulos, Benedikt Kersting, Martino Dazzi, Geethan Karunaratne, Matthias Braendli, Abhairaj Singh, Silvia M. Mueller, Julian Büchel, Xavier Timoneda Comas, Vinay Joshi, Urs Egger, Angelo Garofalo, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, Samuel Choi, Injo Ok, Timothy Philip, Victor Chan, Mary Claire Silvestre, Ishtiaq Ahsan, Nicole Saulnier, Vijay Narayanan, Pier Andrea Francese, Evangelos Eleftheriou, Abu Sebastian
2021	C	`conf`	Hybrid In-Memory Computing Architecture for the Training of Deep Neural Networks. ISCAS Vinay Joshi, Wangxin He, Jae-sun Seo, Bipin Rajendran
2021	J	`jnl`	Hybrid In-memory Computing Architecture for the Training of Deep Neural Networks. CoRR Vinay Joshi, Wangxin He, Jae-sun Seo, Bipin Rajendran
2020	C	`conf`	ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. ISCAS Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
2020	J	`jnl`	ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. CoRR Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
2020	J	`jnl`	Mixed-precision deep learning based on computational memory. CoRR S. R. Nandakumar, Manuel Le Gallo, Christophe Piveteau, Vinay Joshi, Giovanni Mariani, Irem Boybat, Geethan Karunaratne, Riduan Khaddam-Aljameh, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
2019	J	`jnl`	Accurate deep neural network inference using computational phase-change memory. CoRR Vinay Joshi, Manuel Le Gallo, Irem Boybat, Simon Haefeli, Christophe Piveteau, Martino Dazzi, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
2019	—	`conf`	Computational memory-based inference and training of deep neural networks. VLSI Circuits Abu Sebastian, Irem Boybat, Martino Dazzi, Iason Giannopoulos, Vara Prasad Jonnalagadda, Vinay Joshi, Geethan Karunaratne, Benedikt Kersting, Riduan Khaddam-Aljameh, S. R. Nandakumar, Anastasios Petropoulos, Christophe Piveteau, Theodore Antonakopoulos, Bipin Rajendran, Manuel Le Gallo, Evangelos Eleftheriou
2019	J	`jnl`	Deep learning acceleration based on in-memory computing. IBM J. Res. Dev. Evangelos Eleftheriou, Manuel Le Gallo, S. R. Nandakumar, Christophe Piveteau, Irem Boybat, Vinay Joshi, Riduan Khaddam-Aljameh, Martino Dazzi, Iason Giannopoulos, Geethan Karunaratne, Benedikt Kersting, Milos Stanisavljevic, Vara Prasad Jonnalagadda, Nikolas Ioannou, Kornilios Kourtis, Pier Andrea Francese, Abu Sebastian
2019	—	`conf`	Phase-Change Memory Models for Deep Learning Training and Inference. ICECS S. R. Nandakumar, Irem Boybat, Vinay Joshi, Christophe Piveteau, Manuel Le Gallo, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
2016	—	`conf`	CRYPTANITE: A New Look to the World of Social Networks Using Deep Learning. SITIS Vinayshekhar Bannihatti Kumar, Tanisha Rajesh Baadkar, Vinay Joshi