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2020 – today
- 2025
[c8]Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro:
CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation. AAAI 2025: 16163-16171- [c7]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:
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. CVPR 2025: 22404-22415 - [c6]Llukman Cerkezi, Aram Davtyan, Sepehr Sameni, Paolo Favaro:
MIRAGE: Unsupervised Single Image to Novel View Generation with Cross Attention Guidance. ICCVW 2025: 3799-3809 - [c5]Aram Davtyan, Leello Tadesse Dadi, Volkan Cevher, Paolo Favaro:
Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling. ICLR 2025 - [i11]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:
Can AI Agents Design and Implement Drug Discovery Pipelines? CoRR abs/2504.19912 (2025) - [i10]Zixuan Xia, Aram Davtyan, Paolo Favaro:
KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products. CoRR abs/2506.04432 (2025) - [i9]Pablo Acuaviva, Aram Davtyan, Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Alexandre Alahi, Paolo Favaro:
From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models. CoRR abs/2506.07280 (2025) - [i8]Pablo Acuaviva, Aram Davtyan, Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Alexandre Alahi, Paolo Favaro:
Rethinking Visual Intelligence: Insights from Video Pretraining. CoRR abs/2510.24448 (2025) - 2024
- [c4]Aram Davtyan
, Paolo Favaro:
Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation. AAAI 2024: 11722-11730 - [i7]Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro:
Enabling Visual Composition and Animation in Unsupervised Video Generation. CoRR abs/2403.14368 (2024) - [i6]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:
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. CoRR abs/2412.11198 (2024) - 2023
- [c3]Aram Davtyan, Sepehr Sameni, Paolo Favaro:
Efficient Video Prediction via Sparsely Conditioned Flow Matching. ICCV 2023: 23206-23217 - [i5]Aram Davtyan, Paolo Favaro:
Learn the Force We Can: Multi-Object Video Generation from Pixel-Level Interactions. CoRR abs/2306.03988 (2023) - [i4]Llukman Cerkezi, Aram Davtyan, Sepehr Sameni, Paolo Favaro:
Multi-View Unsupervised Image Generation with Cross Attention Guidance. CoRR abs/2312.04337 (2023) - 2022
- [c2]Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro:
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity. AAAI 2022: 6471-6479 - [c1]Aram Davtyan, Paolo Favaro:
Controllable Video Generation Through Global and Local Motion Dynamics. ECCV (17) 2022: 68-84 - [i3]Aram Davtyan, Paolo Favaro:
Controllable Video Generation through Global and Local Motion Dynamics. CoRR abs/2204.06558 (2022) - [i2]Aram Davtyan, Sepehr Sameni, Paolo Favaro:
Randomized Conditional Flow Matching for Video Prediction. CoRR abs/2211.14575 (2022) - 2021
- [j2]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:
OpenAWSEM with Open3SPN2: A fast, flexible, and accessible framework for large-scale coarse-grained biomolecular simulations. PLoS Comput. Biol. 17(2) (2021) - [i1]Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro:
KaFiStO: A Kalman Filtering Framework for Stochastic Optimization. CoRR abs/2107.03331 (2021) - 2020
- [j1]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:
AWSEM-Suite: a protein structure prediction server based on template-guided, coevolutionary-enhanced optimized folding landscapes. Nucleic Acids Res. 48(Webserver-Issue): W25-W30 (2020)
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