Ronak D. Mehta

According to our database, Ronak D. Mehta authored at least 6 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Simple Lifelong Learning Machines.

Joshua T. Vogelstein, Jayanta Dey, Hayden S. Helm, Will LeVine, Ronak D. Mehta, Tyler M. Tomita, Haoyin Xu, Ali Geisa, Qingyang Wang, Gido M. van de Ven, Chenyu Gao, Weiwei Yang, Bryan Tower, Jonathan Larson, Christopher M. White, Carey E. Priebe

IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

2024

Independence Testing for Temporal Data.

Cencheng Shen, Jaewon Chung, Ronak D. Mehta, Ting Xu, Joshua T. Vogelstein

Trans. Mach. Learn. Res., 2024

2021

Towards a theory of out-of-distribution learning.

Ali Geisa, Ronak D. Mehta, Hayden S. Helm, Jayanta Dey, Eric Eaton, Carey E. Priebe, Joshua T. Vogelstein

CoRR, 2021

2020

A partition-based similarity for classification distributions.

Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Weiwei Yang, Christopher M. White, Ali Geisa, Joshua T. Vogelstein, Carey E. Priebe

CoRR, 2020

A general approach to progressive intelligence.

Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Christopher M. White, Carey E. Priebe

CoRR, 2020

2019

A Consistent Independence Test for Multivariate Time-Series.

Ronak D. Mehta, Cencheng Shen, Ting Xu, Joshua T. Vogelstein

CoRR, 2019