Object shape estimation and modeling, based on sparse Gaussian process implicit surfaces, combining visual data and tactile exploration. - Gabriela Zarzar Gandler; Carl Henrik Ek; Mårten Björkman; Rustam Stolkin; Yasemin Bekiroglu (Robotics Auton. Syst., 2020)

Text Annotation Handbook: A Practical Guide for Machine Learning Projects. - Felix Stollenwerk; Joey Öhman; Danila Petrelli; Emma Wallerö; Fredrik Olsson; Camilla Bengtsson; Andreas Horndahl; Gabriela Zarzar Gandler (CoRR, 2023)

Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review. - Sofiane Ennadir; Gabriela Zarzar Gandler; Filip Cornell; Lele Cao; Oleg Smirnov; Tianze Wang; Levente Zólyomi; Björn Brinne; Sahar Asadi (Trans. Mach. Learn. Res., 2025)

On the Power of Heuristics in Temporal Graphs. - Filip Cornell; Oleg Smirnov; Gabriela Zarzar Gandler; Lele Cao (CoRR, 2025)

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction. - Filip Cornell; Oleg Smirnov; Gabriela Zarzar Gandler; Lele Cao (CoRR, 2025)