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ORCIDBoris Knyazev 0001
Person information
- affiliation: Samsung, SAIT AI Lab, Montreal, QC, Canada
- affiliation (PhD 2022): University of Guelph, School of Engineering, ON, Canada
- affiliation: Vector Institute for Artificial Intelligence, Toronto, ON, Canada
- affiliation: NTechLab, Moscow, Russia
- affiliation: Bauman Moscow State Technical University (BMSTU), Moscow, Russia
Other persons with the same name
- Boris Knyazev — disambiguation page
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2020 – today
- 2024
[c13]Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang:
Graph Neural Networks for Learning Equivariant Representations of Neural Networks. ICLR 2024- [i19]Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang:
Graph Neural Networks for Learning Equivariant Representations of Neural Networks. CoRR abs/2403.12143 (2024) - [i18]Xinyu Zhou, Boris Knyazev, Alexia Jolicoeur-Martineau, Jie Fu:
LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters. CoRR abs/2405.16287 (2024) - [i17]Benjamin Thérien, Charles-Étienne Joseph, Boris Knyazev, Edouard Oyallon, Irina Rish, Eugene Belilovsky:
μLO: Compute-Efficient Meta-Generalization of Learned Optimizers. CoRR abs/2406.00153 (2024) - [i16]Alexia Jolicoeur-Martineau, Aristide Baratin, Kisoo Kwon, Boris Knyazev, Yan Zhang:
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees. CoRR abs/2407.09357 (2024) - [i15]Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene Belilovsky, Simon Lacoste-Julien:
Accelerating Training with Neuron Interaction and Nowcasting Networks. CoRR abs/2409.04434 (2024) - 2023
- [c12]Boris Knyazev, Doha Hwang, Simon Lacoste-Julien:
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? ICML 2023: 17243-17259 - [i14]Boris Knyazev, Doha Hwang, Simon Lacoste-Julien:
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? CoRR abs/2303.04143 (2023) - [i13]Charles-Étienne Joseph, Benjamin Thérien, Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky:
Can We Learn Communication-Efficient Optimizers? CoRR abs/2312.02204 (2023) - 2022
- [c11]Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor:
On Evaluation Metrics for Graph Generative Models. ICLR 2022 - [i12]Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor:
On Evaluation Metrics for Graph Generative Models. CoRR abs/2201.09871 (2022) - [i11]Boris Knyazev:
Pretraining a Neural Network before Knowing Its Architecture. CoRR abs/2207.10049 (2022) - 2021
- [c10]Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky:
Generative Compositional Augmentations for Scene Graph Prediction. ICCV 2021: 15807-15817 - [c9]Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guang Wei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs:
Context-aware Scene Graph Generation with Seq2Seq Transformers. ICCV 2021: 15911-15921 - [c8]Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho:
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. NeurIPS 2021: 5745-5757 - [c7]Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano:
Parameter Prediction for Unseen Deep Architectures. NeurIPS 2021: 29433-29448 - [i10]Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano:
Parameter Prediction for Unseen Deep Architectures. CoRR abs/2110.13100 (2021) - [i9]Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho:
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. CoRR abs/2110.15481 (2021) - 2020
- [c6]Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky:
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. BMVC 2020 - [i8]Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky:
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. CoRR abs/2005.08230 (2020) - [i7]Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky:
Generative Graph Perturbations for Scene Graph Prediction. CoRR abs/2007.05756 (2020)
2010 – 2019
- 2019
- [c5]Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor:
Image Classification with Hierarchical Multigraph Networks. BMVC 2019: 251 - [c4]Boris Knyazev, Graham W. Taylor, Mohamed R. Amer:
Understanding Attention and Generalization in Graph Neural Networks. NeurIPS 2019: 4204-4214 - [i6]Boris Knyazev, Graham W. Taylor, Mohamed R. Amer:
Understanding attention in graph neural networks. CoRR abs/1905.02850 (2019) - [i5]Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor:
Image Classification with Hierarchical Multigraph Networks. CoRR abs/1907.09000 (2019) - [i4]Boris Knyazev, Carolyn Augusta, Graham W. Taylor:
Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions. CoRR abs/1909.10367 (2019) - 2018
- [j1]Jianzhu Guo, Zhen Lei, Jun Wan, Egils Avots, Noushin Hajarolasvadi
, Boris Knyazev, Artem Kuharenko, Júlio Cezar Silveira Jacques Júnior, Xavier Baró, Hasan Demirel, Sergio Escalera, Juri Allik, Gholamreza Anbarjafari:
Dominant and Complementary Emotion Recognition From Still Images of Faces. IEEE Access 6: 26391-26403 (2018) - [c3]Boris Knyazev, Roman Shvetsov, Natalia Efremova, Artem Kuharenko:
Leveraging Large Face Recognition Data for Emotion Classification. FG 2018: 692-696 - [i3]Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor:
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules. CoRR abs/1811.09595 (2018) - 2017
- [c2]Boris Knyazev, Erhardt Barth, Thomas Martinetz:
Recursive autoconvolution for unsupervised learning of convolutional neural networks. IJCNN 2017: 2486-2493 - [i2]Boris Knyazev, Roman Shvetsov, Natalia Efremova, Artem Kuharenko:
Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video. CoRR abs/1711.04598 (2017) - 2016
- [i1]Boris Knyazev, Erhardt Barth, Thomas Martinetz:
Autoconvolution for Unsupervised Feature Learning. CoRR abs/1606.00611 (2016) - 2013
- [c1]Boris Knyazev:
Human nonverbal behavior multi-sourced ontological annotation. VIGTA@ICVS 2013: 2:1-2:8
Coauthor Index
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