Aram Davtyan

According to our database, Aram Davtyan authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enabling Visual Composition and Animation in Unsupervised Video Generation.

Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro

CoRR, 2024

Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation.

Aram Davtyan, Paolo Favaro

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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: Multi-Object Video Generation from Pixel-Level Interactions.

Aram Davtyan, Paolo Favaro

CoRR, 2023

Efficient Video Prediction via Sparsely Conditioned Flow Matching.

Aram Davtyan, Sepehr Sameni, Paolo Favaro

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Randomized Conditional Flow Matching for Video Prediction.

Aram Davtyan, Sepehr Sameni, Paolo Favaro

CoRR, 2022

Controllable Video Generation Through Global and Local Motion Dynamics.

Aram Davtyan, Paolo Favaro

Proceedings of the Computer Vision - ECCV 2022, 2022

KOALA: A Kalman Optimization Algorithm with Loss Adaptivity.

Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

KaFiStO: A Kalman Filtering Framework for Stochastic Optimization.

Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro

CoRR, 2021

2020

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, Peter G. Wolynes

Nucleic Acids Res., 2020