An Ensemble SVM-based Approach for Voice Activity Detection. - Jayanta Dey; Md Sanzid Bin Hossain; Mohammad Ariful Haque (CoRR, 2019)

Location Forensics of Media Recordings Utilizing Cascaded SVM and Pole-matching Classifiers. - Jayanta Dey; Mohammad Ariful Haque (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)

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)

Streaming Decision Trees and Forests. - Haoyin Xu; Jayanta Dey; Sambit Panda; Joshua T. Vogelstein (CoRR, 2021)

Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. - Eric W. Bridgeford; Shangsi Wang; Zeyi Wang; Ting Xu 001; R. Cameron Craddock; Jayanta Dey; Gregory Kiar; William R. Gray Roncal; Carlo Colantuoni; Christopher Douville; Stephanie Noble; Carey E. Priebe; et al. (PLoS Comput. Biol., 2021)

Prospective Learning: Back to the Future. - Joshua T. Vogelstein; Timothy D. Verstynen; Konrad P. Kording; Leyla Isik; John W. Krakauer; Ralph Etienne-Cummings; Elizabeth L. Ogburn; Carey E. Priebe; Randal C. Burns; Kwame S. Kutten; James J. Knierim; James B. Potash; et al. (CoRR, 2022)

Out-of-distribution Detection Using Kernel Density Polytopes. - Jayanta Dey; Ashwin De Silva; Will LeVine; Jong M. Shin; Haoyin Xu; Ali Geisa; Tiffany Chu; Leyla Isik; Joshua T. Vogelstein (CoRR, 2022)

Prospective Learning: Principled Extrapolation to the Future. - Ashwin De Silva; Rahul Ramesh; Lyle H. Ungar; Marshall G. Hussain Shuler; Noah J. Cowan; Michael L. Platt; Chen Li; Leyla Isik; Seung-Eon Roh; Adam S. Charles; Archana Venkataraman; Brian Caffo; et al. (CoLLAs, 2023)

Learning Continually in Silicon. - Nicholas Soures; Jayanta Dey; Dhireesha Kudithipudi (Computer, 2024)

Simple Calibration via Geodesic Kernels. - Jayanta Dey; Haoyin Xu; Ashwin De Silva; Joshua T. Vogelstein (Trans. Mach. Learn. Res., 2025)

Temporal Chunking Enhances Recognition of Implicit Sequential Patterns. - Jayanta Dey; Nicholas Soures; Miranda Gonzales; Itamar Lerner; Christopher Kanan; Dhireesha Kudithipudi (CoRR, 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 002; Gido M. van de Ven; Chenyu Gao; Weiwei Yang 004; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2025)