Aram Davtyan

According to our database, Aram Davtyan authored at least 22 papers between 2020 and 2026.

Collaborative distances:

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

2026

Composition of Memory Experts for Diffusion World Models.

Sebastian Stapf, Pablo Acuaviva Huertos, Aram Davtyan, Paolo Favaro

CoRR, May, 2026

Communication-Inspired Tokenization for Structured Image Representations.

Aram Davtyan, Yusuf Sahin, Yasaman Haghighi, Sebastian Stapf, Pablo Acuaviva, Alexandre Alahi, Paolo Favaro

CoRR, February, 2026

Learning Vision-Language Alignment in Unified LLMs with 24 Text Tokens per Image.

Nicola Irmiger, Yixuan Xu, Raphael Kreft, Aram Davtyan, Manuel Kaufmann, Imanol Schlag

Proceedings of the 16th International Workshop on Spoken Dialogue System Technology, 2026

2025

Rethinking Visual Intelligence: Insights from Video Pretraining.

Pablo Acuaviva, Aram Davtyan, Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Alexandre Alahi, Paolo Favaro

CoRR, October, 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, June, 2025

KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products.

Zixuan Xia, Aram Davtyan, Paolo Favaro

CoRR, June, 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, Artur Hakobyan, Hasmik Mnatsakanyan, Narek Ginoyan, Garik Petrosyan

CoRR, April, 2025

Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling.

Aram Davtyan, Leello Tadesse Dadi, Volkan Cevher, Paolo Favaro

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MIRAGE: Unsupervised Single Image to Novel View Generation with Cross Attention Guidance.

Llukman Cerkezi, Aram Davtyan, Sepehr Sameni, Paolo Favaro

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 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, Botao Ye, Xi Wang, Aram Davtyan, Mathieu Salzmann, Davide Scaramuzza, Marc Pollefeys, Paolo Favaro, Alexandre Alahi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation.

Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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