Junta Distance Approximation with Sub-Exponential Queries. - Vishnu Iyer; Avishay Tal; Michael Whitmeyer (Electron. Colloquium Comput. Complex., 2021)

Develop a Natural Language Processing Pipeline to Automate Extraction of Periodontal Disease Information from Electronic Dental Clinical Notes. - Jay Sureshbhai Patel; Rishi Rao; Ryan Brandon; Vishnu Iyer; Jasim M. Albandar; Marisol Tellez; Joachim Krois; Huanmei Wu (ICMHI, 2022)

Developing and testing a prediction model for periodontal disease using machine learning and big electronic dental record data. - Jay S. Patel; Chang Su; Marisol Tellez; Jasim M. Albandar; Rishi Rao; Vishnu Iyer; Evan Shi; Huanmei Wu (Frontiers Artif. Intell., 2022)

Low-Stabilizer-Complexity Quantum States Are Not Pseudorandom. - Sabee Grewal; Vishnu Iyer; William Kretschmer; Daniel Liang (ITCS, 2023)

Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates. - Sabee Grewal; Vishnu Iyer; William Kretschmer; Daniel Liang (CoRR, 2023)

On the Rational Degree of Boolean Functions and Applications. - Vishnu Iyer; Siddhartha Jain 004; Matt Kovacs-Deak; Vinayak M. Kumar; Luke Schaeffer; Daochen Wang; Michael Whitmeyer (Electron. Colloquium Comput. Complex., 2023)

Improved Stabilizer Estimation via Bell Difference Sampling. - Sabee Grewal; Vishnu Iyer; William Kretschmer; Daniel Liang (STOC, 2024)

PDQMA = DQMA = NEXP: QMA With Hidden Variables and Non-collapsing Measurements. - Scott Aaronson; Sabee Grewal; Vishnu Iyer; Simon C. Marshall; Ronak Ramachandran (CoRR, 2024)

Pseudoentanglement Ain't Cheap. - Sabee Grewal; Vishnu Iyer; William Kretschmer; Daniel Liang (CoRR, 2024)

Agnostic Tomography of Stabilizer Product States. - Sabee Grewal; Vishnu Iyer; William Kretschmer; Daniel Liang (CoRR, 2024)

Tolerant Testing of Stabilizer States with Mixed State Inputs. - Vishnu Iyer; Daniel Liang (CoRR, 2024)

Mildly-Interacting Fermionic Unitaries are Efficiently Learnable. - Vishnu Iyer (CoRR, 2025)