Kaku, Aakash

4 publications

ICML 2022 Deep Probability Estimation Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda

NeurIPS 2022 StrokeRehab: A Benchmark Dataset for Sub-Second Action Identification Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi Schambra, Carlos Fernandez-Granda

NeurIPS 2021 Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning Aakash Kaku, Sahana Upadhya, Narges Razavian

MLHC 2020 Towards Data-Driven Stroke Rehabilitation via Wearable Sensors and Deep Learning Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi Schambra, Carlos Fernandez-Granda