Manifold Learning and Deep Clustering with Local Dictionaries. - Pranay Tankala; Abiy Tasissa; James M. Murphy; Demba E. Ba (CoRR, 2020)

Weighed ℓ1 on the Simplex: Compressive Sensing Meets Locality. - Abiy Tasissa; Pranay Tankala; Demba E. Ba (SSP, 2021)

On the convergence of group-sparse autoencoders. - Emmanouil Theodosis; Bahareh Tolooshams; Pranay Tankala; Abiy Tasissa; Demba E. Ba (CoRR, 2021)

Weighed 𝓁1 on the simplex: Compressive sensing meets locality. - Abiy Tasissa; Pranay Tankala; Demba E. Ba (CoRR, 2021)

From Pseudorandomness to Multi-Group Fairness and Back. - Cynthia Dwork; Daniel Lee; Huijia Lin; Pranay Tankala (COLT, 2023)

Privately Estimating a Gaussian: Efficient, Robust, and Optimal. - Daniel Alabi; Pravesh K. Kothari; Pranay Tankala; Prayaag Venkat; Fred Zhang (STOC, 2023)

New Insights into Multi-Calibration. - Cynthia Dwork; Daniel Lee; Huijia Lin; Pranay Tankala (CoRR, 2023)

K-Deep Simplex: Manifold Learning via Local Dictionaries. - Abiy Tasissa; Pranay Tankala; James M. Murphy; Demba E. Ba (IEEE Trans. Signal Process., 2023)

Differentially Private Learning Beyond the Classical Dimensionality Regime. - Cynthia Dwork; Pranay Tankala; Linjun Zhang (CoRR, 2024)

From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs. - Cynthia Dwork; Chris Hays; Nicole Immorlica; Juan C. Perdomo; Pranay Tankala (COLT, 2025)