Generative ODE Modeling with Known Unknowns. - Ori Linial; Danny Eytan; Uri Shalit (CoRR, 2020)

Generative ODE modeling with known unknowns. - Ori Linial; Neta Ravid; Danny Eytan; Uri Shalit (CHIL, 2021)

PDExplain: Contextual Modeling of PDEs in the Wild. - Ori Linial; Orly Avner; Dotan Di Castro (CoRR, 2023)

Asymmetric Face Recognition with Cross Model Compatible Ensembles. - Ori Linial; Alon Shoshan; Nadav Bhonker; Elad Hirsch; Lior Zamir; Igor Kviatkovsky; Gérard G. Medioni (CoRR, 2023)

CONFIDE: Contextual Finite Difference Modelling of PDEs. - Ori Linial; Orly Avner; Dotan Di Castro (KDD, 2024)

Asymmetric Image Retrieval with Cross Model Compatible Ensembles. - Alon Shoshan; Ori Linial; Nadav Bhonker; Elad Hirsch; Lior Zamir; Igor Kviatkovsky; Gérard G. Medioni (WACV, 2024)

Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators. - Ori Linial; Guy Tennenholtz; Uri Shalit (CoRR, 2024)

Enhancing Remote Sensing Representations Through Mixed-Modality Masked Autoencoding. - Ori Linial; George Leifman; Yochai Blau; Nadav Sherman; Yotam Gigi; Wojciech Sirko; Genady Beryozkin (WACV (Workshops), 2025)