Moskalev, Artem

17 publications

ICLR 2025 Beyond Sequence: Impact of Geometric Context for RNA Property Prediction Junjie Xu, Artem Moskalev, Tommaso Mansi, Mangal Prakash, Rui Liao

ICML 2025 Geometric Hyena Networks for Large-Scale Equivariant Learning Artem Moskalev, Mangal Prakash, Junjie Xu, Tianyu Cui, Rui Liao, Tommaso Mansi

ICLRW 2025 HARMONY: A Multi-Representation Framework for RNA Property Prediction Junjie Xu, Artem Moskalev, Tommaso Mansi, Mangal Prakash, Rui Liao

ICLR 2025 HELM: Hierarchical Encoding for mRNA Language Modeling Mehdi Yazdani-Jahromi, Mangal Prakash, Tommaso Mansi, Artem Moskalev, Rui Liao

ICML 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

ICLRW 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

NeurIPS 2025 Probing Equivariance and Symmetry Breaking in Convolutional Networks Sharvaree Vadgama, Mohammad Mohaiminul Islam, Domas Buracas, Christian A Shewmake, Artem Moskalev, Erik J Bekkers

NeurIPSW 2024 Beyond Sequence: Impact of Geometric Context for RNA Property Prediction Junjie Xu, Artem Moskalev, Tommaso Mansi, Mangal Prakash, Rui Liao

NeurIPSW 2024 Bridging Biomolecular Modalities for Knowledge Transfer in Bio-Language Models Mangal Prakash, Artem Moskalev, Peter DiMaggio Jr., Steven Combs, Tommaso Mansi, Justin Scheer, Rui Liao

NeurIPSW 2024 HELM: Hierarchical Encoding for mRNA Language Modeling Mehdi Yazdani-Jahromi, Mangal Prakash, Tommaso Mansi, Artem Moskalev, Rui Liao

ICMLW 2024 SE(3)-Hyena Operator for Scalable Equivariant Learning Artem Moskalev, Mangal Prakash, Rui Liao, Tommaso Mansi

ICMLW 2023 On Genuine Invariance Learning Without Weight-Tying Artem Moskalev, Anna Sepliarskaia, Erik J Bekkers, Arnold W.M. Smeulders

ECCV 2022 Contrasting Quadratic Assignments for Set-Based Representation Learning Artem Moskalev, Ivan Sosnovik, Volker Fischer, Arnold Smeulders

NeurIPS 2022 LieGG: Studying Learned Lie Group Generators Artem Moskalev, Anna Sepliarskaia, Ivan Sosnovik, Arnold Smeulders

ICCVW 2021 How to Transform Kernels for Scale-Convolutions Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders

ICCVW 2021 Relational Prior for Multi-Object Tracking Artem Moskalev, Ivan Sosnovik, Arnold W. M. Smeulders

WACV 2021 Scale Equivariance Improves Siamese Tracking Ivan Sosnovik, Artem Moskalev, Arnold W.M. Smeulders