Boris Knyazev

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 30

Top Topics

Unsupervised Learning

Emotion Classification

Refractive Index

Top Venues

Publications

Alexia Jolicoeur-Martineau, Aristide Baratin, Kisoo Kwon, Boris Knyazev, Yan Zhang
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees. CoRR (2024)
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 (2024)
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)
Xinyu Zhou, Boris Knyazev, Alexia Jolicoeur-Martineau, Jie Fu
LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters. CoRR (2024)
Boris Knyazev, Doha Hwang, Simon Lacoste-Julien
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? CoRR (2023)
Vladimir Pavelyev, Svetlana Khonina, Sergey Degtyarev, Konstantin Tukmakov, Anton Reshetnikov, Vasily Gerasimov, Natalya Osintseva, Boris Knyazev
Subwavelength Diffractive Optical Elements for Generation of Terahertz Coherent Beams with Pre-Given Polarization State. Sensors 23 (3) (2023)
Boris Knyazev, Doha Hwang, Simon Lacoste-Julien
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? ICML (2023)
Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. NeurIPS (2022)
Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Hyper-Representations for Pre-Training and Transfer Learning. CoRR (2022)
Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Model Zoos: A Dataset of Diverse Populations of Neural Network Models. NeurIPS (2022)
Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor
On Evaluation Metrics for Graph Generative Models. CoRR (2022)
Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. CoRR (2022)
Oleg Kameshkov, Vasily Gerasimov, Boris Knyazev
Numerical Optimization of Refractive Index Sensors Based on Diffraction Gratings with High Aspect Ratio in Terahertz Range. Sensors 22 (1) (2022)
Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Model Zoos: A Dataset of Diverse Populations of Neural Network Models. CoRR (2022)
Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano
Parameter Prediction for Unseen Deep Architectures. CoRR (2021)
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 (2021)
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)
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
Generative Graph Perturbations for Scene Graph Prediction. CoRR (2020)
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 (2020)
Boris Knyazev, Graham W. Taylor, Mohamed R. Amer
Understanding attention in graph neural networks. CoRR (2019)
Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor
Image Classification with Hierarchical Multigraph Networks. BMVC (2019)
Boris Knyazev, Graham W. Taylor, Mohamed R. Amer
Understanding Attention and Generalization in Graph Neural Networks. NeurIPS (2019)
Boris Knyazev, Carolyn Augusta, Graham W. Taylor
Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions. CoRR (2019)
Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor
Image Classification with Hierarchical Multigraph Networks. CoRR (2019)
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 (2018)
Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules. CoRR (2018)
Boris Knyazev, Roman Shvetsov, Natalia Efremova, Artem Kuharenko
Leveraging Large Face Recognition Data for Emotion Classification. FG (2018)
Boris Knyazev, Erhardt Barth, Thomas Martinetz
Recursive autoconvolution for unsupervised learning of convolutional neural networks. IJCNN (2017)
Boris Knyazev, Roman Shvetsov, Natalia Efremova, Artem Kuharenko
Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video. CoRR (2017)
Boris Knyazev, Erhardt Barth, Thomas Martinetz
Autoconvolution for Unsupervised Feature Learning. CoRR (2016)
Boris Knyazev
Human nonverbal behavior multi-sourced ontological annotation. VIGTA@ICVS (2013)