Fast detection of sequence components using Savitzky-Golay filters. - José A. Restrepo; Julio Viola; Flavio Quizhpi; Antonio Ginart (IECON, 2014)

Drugs or Dancing? Using Real-Time Machine Learning to Classify Streamed "Dabbing" Homograph Tweets. - Antonio A. Ginart; Sanmay Das; Jenine K. Harris; Roger Wong; Hao Yan; Melissa J. Krauss; Patricia A. Cavazos-Rehg (ICHI, 2016)

Making AI Forget You: Data Deletion in Machine Learning. - Antonio Ginart; Melody Y. Guan; Gregory Valiant; James Zou 001 (NeurIPS, 2019)

Competing AI: How competition feedback affects machine learning. - Antonio Ginart; Eva Zhang; James Zou 001 (CoRR, 2020)

Understanding GANs in the LQG Setting: Formulation, Generalization and Stability. - Soheil Feizi; Farzan Farnia; Tony Ginart; David Tse (IEEE J. Sel. Areas Inf. Theory, 2020)

Competing AI: How does competition feedback affect machine learning? - Tony Ginart; Eva Zhang; Yongchan Kwon; James Zou 001 (AISTATS, 2021)

Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems. - Antonio A. Ginart; Maxim Naumov; Dheevatsa Mudigere; Jiyan Yang; James Zou 001 (ISIT, 2021)

MLDemon: Deployment Monitoring for Machine Learning Systems. - Tony Ginart; Martin Jinye Zhang; James Zou 001 (AISTATS, 2022)

Submix: Practical Private Prediction for Large-Scale Language Models. - Antonio Ginart; Laurens van der Maaten; James Zou 001; Chuan Guo 001 (CoRR, 2022)

Competition over data: how does data purchase affect users? - Yongchan Kwon; Tony Ginart; James Zou 001 (Trans. Mach. Learn. Res., 2022)

Asynchronous Tool Usage for Real-Time Agents. - Antonio A. Ginart; Naveen Kodali; Jason Lee; Caiming Xiong; Silvio Savarese; John Emmons (CoRR, 2024)

LZ Penalty: An information-theoretic repetition penalty for autoregressive language models. - Antonio A. Ginart; Naveen Kodali; Jason Lee; Caiming Xiong; Silvio Savarese; John Emmons (CoRR, 2025)