Artem Moskalev

According to our database, Artem Moskalev authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Data.

Azim Dehghani Amirabad, Yanfei Zhang, Artem Moskalev, Sowmya Rajesh, Tommaso Mansi, Shuwei Li, Mangal Prakash, Rui Liao

CoRR, June, 2025

BioLangFusion: Multimodal Fusion of DNA, mRNA, and Protein Language Models.

Amina Mollaysa, Artem Moskalev, Pushpak Pati, Tommaso Mansi, Mangal Prakash, Rui Liao

CoRR, June, 2025

Geometric Hyena Networks for Large-scale Equivariant Learning.

Artem Moskalev, Mangal Prakash, Junjie Xu, Tianyu Cui, Rui Liao, Tommaso Mansi

CoRR, May, 2025

InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference.

Tianyu Cui, Song-Jun Xu, Artem Moskalev, Shuwei Li, Tommaso Mansi, Mangal Prakash, Rui Liao

CoRR, March, 2025

HELM: Hierarchical Encoding for mRNA Language Modeling.

Mehdi Yazdani-Jahromi, Mangal Prakash, Tommaso Mansi, Artem Moskalev, Rui Liao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Beyond Sequence: Impact of Geometric Context for RNA Property Prediction.

Junjie Xu, Artem Moskalev, Tommaso Mansi, Mangal Prakash, Rui Liao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

SE(3)-Hyena Operator for Scalable Equivariant Learning.

Artem Moskalev, Mangal Prakash, Rui Liao, Tommaso Mansi

CoRR, 2024

2023

Learning to Summarize Videos by Contrasting Clips.

Ivan Sosnovik, Artem Moskalev, Cees Kaandorp, Arnold W. M. Smeulders

CoRR, 2023

On genuine invariance learning without weight-tying.

Artem Moskalev, Anna Sepliarskaia, Erik J. Bekkers, Arnold W. M. Smeulders

Proceedings of the Topological, 2023

2022

LieGG: Studying Learned Lie Group Generators.

Artem Moskalev, Anna Sepliarskaia, Ivan Sosnovik, Arnold W. M. Smeulders

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contrasting Quadratic Assignments for Set-Based Representation Learning.

Artem Moskalev, Ivan Sosnovik, Volker Fischer, Arnold W. M. Smeulders

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Two is a crowd: tracking relations in videos.

Artem Moskalev, Ivan Sosnovik, Arnold W. M. Smeulders

CoRR, 2021

Scale Equivariance Improves Siamese Tracking.

Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

How to Transform Kernels for Scale-Convolutions.

Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Relational Prior for Multi-Object Tracking.

Artem Moskalev, Ivan Sosnovik, Arnold W. M. Smeulders

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

DISCO: accurate Discrete Scale Convolutions.

Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders

Proceedings of the 32nd British Machine Vision Conference 2021, 2021