KaFiStO: A Kalman Filtering Framework for Stochastic Optimization. - Aram Davtyan; Sepehr Sameni; Llukman Cerkezi; Givi Meishvili; Adam Bielski; Paolo Favaro (CoRR, 2021)

KOALA: A Kalman Optimization Algorithm with Loss Adaptivity. - Aram Davtyan; Sepehr Sameni; Llukman Cerkezi; Givi Meishvili; Adam Bielski; Paolo Favaro (AAAI, 2022)

DILEMMA: Self-Supervised Shape and Texture Learning with Transformers. - Sepehr Sameni; Simon Jenni; Paolo Favaro (CoRR, 2022)

Randomized Conditional Flow Matching for Video Prediction. - Aram Davtyan; Sepehr Sameni; Paolo Favaro (CoRR, 2022)

Representation Learning by Detecting Incorrect Location Embeddings. - Sepehr Sameni; Simon Jenni; Paolo Favaro (AAAI, 2023)

Efficient Video Prediction via Sparsely Conditioned Flow Matching. - Aram Davtyan; Sepehr Sameni; Paolo Favaro (ICCV, 2023)

Spatio-Temporal Crop Aggregation for Video Representation Learning. - Sepehr Sameni; Simon Jenni; Paolo Favaro (ICCV, 2023)

Multi-View Unsupervised Image Generation with Cross Attention Guidance. - Llukman Cerkezi; Aram Davtyan; Sepehr Sameni; Paolo Favaro (CoRR, 2023)

Building Vision-Language Models on Solid Foundations with Masked Distillation. - Sepehr Sameni; Kushal Kafle; Hao Tan 002; Simon Jenni (CVPR, 2024)

Enabling Visual Composition and Animation in Unsupervised Video Generation. - Aram Davtyan; Sepehr Sameni; Björn Ommer; Paolo Favaro (CoRR, 2024)

CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation. - Aram Davtyan; Sepehr Sameni; Björn Ommer; Paolo Favaro (AAAI, 2025)

ViDROP: Video Dense Representation through Spatio-Temporal Sparsity. - Sepehr Sameni; Simon Jenni; Paolo Favaro (CVPR Workshops, 2025)