AWSEM-Suite: a protein structure prediction server based on template-guided, coevolutionary-enhanced optimized folding landscapes. - Shikai Jin; Vinícius G. Contessoto; Mingchen Chen; Nicholas P. Schafer; Wei Lu; Xun Chen; Carlos Bueno; Arya Hajitaheri; Brian J. Sirovetz; Aram Davtyan; Garegin A. Papoian; Min-Yeh Tsai; et al. (Nucleic Acids Res., 2020)

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

OpenAWSEM with Open3SPN2: A fast, flexible, and accessible framework for large-scale coarse-grained biomolecular simulations. - Wei Lu; Carlos Bueno; Nicholas P. Schafer; Joshua Moller; Shikai Jin; Xun Chen; Mingchen Chen; Xinyu Gu; Aram Davtyan; Juan J. de Pablo; Peter G. Wolynes (PLoS Comput. Biol., 2021)

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

Controllable Video Generation Through Global and Local Motion Dynamics. - Aram Davtyan; Paolo Favaro (ECCV (17), 2022)

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

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

Learn the Force We Can: Multi-Object Video Generation from Pixel-Level Interactions. - Aram Davtyan; Paolo Favaro (CoRR, 2023)

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

Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation. - Aram Davtyan; Paolo Favaro (AAAI, 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)

GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. - Mariam Hassan; Sebastian Stapf; Ahmad Rahimi; Pedro M. B. Rezende; Yasaman Haghighi; David Brüggemann; Isinsu Katircioglu; Lin Zhang; Xiaoran Chen; Suman Saha; Marco Cannici; Elie Aljalbout; et al. (CVPR, 2025)

Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling. - Aram Davtyan; Leello Tadesse Dadi; Volkan Cevher; Paolo Favaro (ICLR, 2025)

Can AI Agents Design and Implement Drug Discovery Pipelines? - Khachik Smbatyan; Tsolak Ghukasyan; Tigran Aghajanyan; Hovhannes Dabaghyan; Sergey Adamyan; Aram Bughdaryan; Vahagn Altunyan; Gagik Navasardyan; Aram Davtyan; Anush Hakobyan; Aram Gharibyan; Arman Fahradyan; et al. (CoRR, 2025)

KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products. - Zixuan Xia; Aram Davtyan; Paolo Favaro (CoRR, 2025)

From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models. - Pablo Acuaviva; Aram Davtyan; Mariam Hassan; Sebastian Stapf; Ahmad Rahimi; Alexandre Alahi; Paolo Favaro (CoRR, 2025)

Rethinking Visual Intelligence: Insights from Video Pretraining. - Pablo Acuaviva; Aram Davtyan; Mariam Hassan; Sebastian Stapf; Ahmad Rahimi; Alexandre Alahi; Paolo Favaro (CoRR, 2025)