Automatic Differentiation and Its Program Realization. - Jan Hartman; Ladislav Luksan; Jan Zítko (Kybernetika, 2009)

Privacy-Enhanced Machine Learning with Functional Encryption. - Tilen Marc; Miha Stopar; Jan Hartman; Manca Bizjak; Jolanda Modic (ESORICS (1), 2019)

emmy - Trust-Enhancing Authentication Library. - Miha Stopar; Manca Bizjak; Jolanda Modic; Jan Hartman; Anze Zitnik; Tilen Marc (IFIPTM, 2019)

Scaling TensorFlow to 300 million predictions per second. - Jan Hartman; Davorin Kopic (RecSys, 2021)

Predicting the Popularity of Games on Steam. - Andraz De Luisa; Jan Hartman; David Nabergoj; Samo Pahor; Marko Rus; Bozhidar Stevanoski; Jure Demsar; Erik Strumbelj (CoRR, 2021)

Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding. - Jan Hartman; Davorin Kopic (RecSys, 2022)

Unleash the Power of Context: Enhancing Large-Scale Recommender Systems with Context-Based Prediction Models. - Jan Hartman; Assaf Klein; Davorin Kopic; Natalia Silberstein (RecSys, 2023)

AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations. - Jan Hartman; Hitesh Sagtani; Julie Tibshirani; Rishabh Mehrotra (RecSys, 2024)

AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations. - Jan Hartman; Rishabh Mehrotra; Hitesh Sagtani; Dominic Cooney; Rafal Gajdulewicz; Beyang Liu; Julie Tibshirani; Quinn Slack (CoRR, 2024)