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Artem Lukoianov
PhD student, Massachusetts Institute of Technology
Joined
November 2022
Names
Artem Lukoianov
(Preferred)
,
Artem Lukoyanov
,
Artem S. Lukoyanov
Emails
****@mit.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Career & Education History
PhD student
Massachusetts Institute of Technology
(mit.edu)
2022
–
Present
Researcher
Neural Concept
(neuralconcept.ch)
2020
–
2022
MS student
EPFL - EPF Lausanne
(epfl.ch)
2019
–
2021
Intern
Institute for Information Transmission Problems
(iitp.ru)
2017
–
2019
Undergrad student
Moscow Institute of Physics and Technology
(mipt.edu)
2015
–
2019
Intern
European Molecular Biology Laboratory
(embl.de)
2018
–
2018
Advisors, Relations & Conflicts
PhD Advisor
Justin Solomon
2022
–
Present
PhD Advisor
Vincent Sitzmann
2022
–
Present
Coauthor
Timur Bagautdinov
2019
–
Present
Coauthor
Pascal Fua
2019
–
2021
Coauthor
Edoardo Remelli
2019
–
2021
Coauthor
Stephan R. Richter
2019
–
2021
Coauthor
Benoit Guillard
2019
–
2021
Coauthor
Dmitriy Nikolaev
2017
–
2019
Expertise
Equivariant Learning
2022
–
Present
Shape Representations
2020
–
Present
Deep Learning
2017
–
Present
Computer Vision
2017
–
Present
Publications
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning
Haitz Sáez de Ocáriz Borde
,
Artem Lukoianov
,
Anastasis Kratsios
,
Michael M. Bronstein
,
Xiaowen Dong
ICLR 2026 Workshop GRaM Poster
Readers:
Everyone
Locality in Image Diffusion Models Emerges from Data Statistics
Artem Lukoianov
,
Chenyang Yuan
,
Justin Solomon
,
Vincent Sitzmann
NeurIPS 2025 spotlight
Readers:
Everyone
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning
Haitz Sáez de Ocáriz Borde
,
Artem Lukoianov
,
Anastasis Kratsios
,
Michael M. Bronstein
,
Xiaowen Dong
Submitted to ICLR 2025
Readers:
Everyone
Score Distillation via Reparametrized DDIM
Artem Lukoianov
,
Haitz Sáez de Ocáriz Borde
,
Kristjan Greenewald
,
Vitor Campagnolo Guizilini
,
Timur Bagautdinov
,
Vincent Sitzmann
,
Justin Solomon
NeurIPS 2024 poster
Readers:
Everyone
DEBOSH: Deep Bayesian Shape Optimization
Nikita Durasov
,
Artem Lukoianov
,
Jonathan Donier
,
Pascal Fua
ICLR 2024 Conference Withdrawn Submission
Readers:
Everyone
HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation
Subeesh Vasu
,
Nicolas Talabot
,
Artem Lukoianov
,
Pierre Baqué
,
Jonathan Donier
,
Pascal Fua
Published: 01 Jan 2022, Last Modified: 10 May 2023
3DV 2022
Readers:
Everyone
HybridSDF: Combining Free Form Shapes and Geometric Primitives for effective Shape Manipulation
Subeesh Vasu
,
Nicolas Talabot
,
Artem Lukoianov
,
Pierre Baqué
,
Jonathan Donier
,
Pascal Fua
2021 (modified: 09 Nov 2022)
CoRR 2021
Readers:
Everyone
DeepMesh: Differentiable Iso-Surface Extraction
Benoît Guillard
,
Edoardo Remelli
,
Artem Lukoianov
,
Stephan R. Richter
,
Timur Bagautdinov
,
Pierre Baqué
,
Pascal Fua
2021 (modified: 17 Nov 2022)
CoRR 2021
Readers:
Everyone
DEBOSH: Deep Bayesian Shape Optimization
Nikita Durasov
,
Artem Lukoyanov
,
Jonathan Donier
,
Pascal Fua
2021 (modified: 03 Nov 2022)
CoRR 2021
Readers:
Everyone
MeshSDF: Differentiable Iso-Surface Extraction
Edoardo Remelli
,
Artem Lukoianov
,
Stephan R. Richter
,
Benoît Guillard
,
Timur Bagautdinov
,
Pierre Baqué
,
Pascal Fua
2020 (modified: 17 Nov 2022)
CoRR 2020
Readers:
Everyone
View all 15 publications
Co-Authors
Alexey Grigorev
Alwin Kraemer
Alwin Krämer
Anastasis Kratsios
Anna Kreshuk
Anton S. Grigoryev
Benoît Guillard
Chenyang Yuan
Constantin Pape
Edoardo Remelli
Ekaterina I. Panfilova
Haitz Sáez de Ocáriz Borde
Ilya Zharikov
Irina A. Kunina
Isabella Haberbosch
Jonathan Donier
Justin Solomon
Kristjan Greenewald
Maxim P. Abramov
Michael M. Bronstein
Nicolas Talabot
Nikita Durasov
Nikita Korobov
Oleg S. Shipitko
Pascal Fua
View all 34 co-authors