A Consistent Independence Test for Multivariate Time-Series. - Ronak D. Mehta; Cencheng Shen; Ting Xu 001; Joshua T. Vogelstein (CoRR, 2019)

A general approach to progressive intelligence. - Joshua T. Vogelstein; Hayden S. Helm; Ronak D. Mehta; Jayanta Dey; Weiwei Yang 004; Bryan Tower; Will LeVine; Jonathan Larson; Christopher M. White; Carey E. Priebe (CoRR, 2020)

A partition-based similarity for classification distributions. - Hayden S. Helm; Ronak D. Mehta; Brandon Duderstadt; Weiwei Yang 004; Christopher M. White; Ali Geisa; Joshua T. Vogelstein; Carey E. Priebe (CoRR, 2020)

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)

Independence Testing for Temporal Data. - Cencheng Shen; Jaewon Chung; Ronak D. Mehta; Ting Xu 001; Joshua T. Vogelstein (Trans. Mach. Learn. Res., 2024)