Boris Knyazev - RankMe

40 papers A* 9A 2B 2Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Celo2: Towards Learned Optimization Free Lunch. CoRR Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky
2025	A*	`conf`	Accelerating Training with Neuron Interaction and Nowcasting Networks. ICLR Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene Belilovsky, Simon Lacoste-Julien
2025	J	`jnl`	Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees. Trans. Mach. Learn. Res. Alexia Jolicoeur-Martineau, Aristide Baratin, Kisoo Kwon, Boris Knyazev, Yan Zhang
2025	J	`jnl`	Celo: Training Versatile Learned Optimizers on a Compute Diet. Trans. Mach. Learn. Res. Abhinav Moudgil, Boris Knyazev, Guillaume Lajoie, Eugene Belilovsky
2025	J	`jnl`	Generating π-Functional Molecules Using STGG+ with Active Learning. CoRR Alexia Jolicoeur-Martineau, Yan Zhang, Boris Knyazev, Aristide Baratin, Cheng-Hao Liu
2025	J	`jnl`	Learning Versatile Optimizers on a Compute Diet. CoRR Abhinav Moudgil, Boris Knyazev, Guillaume Lajoie, Eugene Belilovsky
2025	J	`jnl`	Meta-learning Optimizers for Communication-Efficient Learning. Trans. Mach. Learn. Res. Charles-Étienne Joseph, Benjamin Thérien, Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky
2024	J	`jnl`	Accelerating Training with Neuron Interaction and Nowcasting Networks. CoRR Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene Belilovsky, Simon Lacoste-Julien
2024	J	`jnl`	Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees. CoRR Alexia Jolicoeur-Martineau, Aristide Baratin, Kisoo Kwon, Boris Knyazev, Yan Zhang
2024	A*	`conf`	Graph Neural Networks for Learning Equivariant Representations of Neural Networks. ICLR Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang
2024	J	`jnl`	Graph Neural Networks for Learning Equivariant Representations of Neural Networks. CoRR Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang
2024	J	`jnl`	LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters. CoRR Xinyu Zhou, Boris Knyazev, Alexia Jolicoeur-Martineau, Jie Fu
2024	J	`jnl`	μLO: Compute-Efficient Meta-Generalization of Learned Optimizers. CoRR Benjamin Thérien, Charles-Étienne Joseph, Boris Knyazev, Edouard Oyallon, Irina Rish, Eugene Belilovsky
2023	J	`jnl`	Can We Learn Communication-Efficient Optimizers? CoRR Charles-Étienne Joseph, Benjamin Thérien, Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky
2023	A*	`conf`	Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? ICML Boris Knyazev, Doha Hwang, Simon Lacoste-Julien
2023	J	`jnl`	Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? CoRR Boris Knyazev, Doha Hwang, Simon Lacoste-Julien
2022	A*	`conf`	On Evaluation Metrics for Graph Generative Models. ICLR Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor
2022	J	`jnl`	On Evaluation Metrics for Graph Generative Models. CoRR Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor
2022	J	`jnl`	Pretraining a Neural Network before Knowing Its Architecture. CoRR Boris Knyazev
2021	A*	`conf`	Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. NeurIPS Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho
2021	J	`jnl`	Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. CoRR Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho
2021	A*	`conf`	Context-aware Scene Graph Generation with Seq2Seq Transformers. ICCV Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guangwei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs
2021	A*	`conf`	Generative Compositional Augmentations for Scene Graph Prediction. ICCV Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2021	A*	`conf`	Parameter Prediction for Unseen Deep Architectures. NeurIPS Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano
2021	J	`jnl`	Parameter Prediction for Unseen Deep Architectures. CoRR Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano
2020	J	`jnl`	Generative Graph Perturbations for Scene Graph Prediction. CoRR Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2020	A	`conf`	Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. BMVC Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2020	J	`jnl`	Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. CoRR Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2019	A	`conf`	Image Classification with Hierarchical Multigraph Networks. BMVC Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor
2019	J	`jnl`	Image Classification with Hierarchical Multigraph Networks. CoRR Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor
2019	J	`jnl`	Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions. CoRR Boris Knyazev, Carolyn Augusta, Graham W. Taylor
2019	A*	`conf`	Understanding Attention and Generalization in Graph Neural Networks. NeurIPS Boris Knyazev, Graham W. Taylor, Mohamed R. Amer
2019	J	`jnl`	Understanding attention in graph neural networks. CoRR Boris Knyazev, Graham W. Taylor, Mohamed R. Amer
2018	J	`jnl`	Dominant and Complementary Emotion Recognition From Still Images of Faces. IEEE Access 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
2018	B	`conf`	Leveraging Large Face Recognition Data for Emotion Classification. FG Boris Knyazev, Roman Shvetsov, Natalia Efremova, Artem Kuharenko
2018	J	`jnl`	Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules. CoRR Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor
2017	J	`jnl`	Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video. CoRR Boris Knyazev, Roman Shvetsov, Natalia Efremova, Artem Kuharenko
2017	B	`conf`	Recursive autoconvolution for unsupervised learning of convolutional neural networks. IJCNN Boris Knyazev, Erhardt Barth, Thomas Martinetz
2016	J	`jnl`	Autoconvolution for Unsupervised Feature Learning. CoRR Boris Knyazev, Erhardt Barth, Thomas Martinetz
2013	—	`conf`	Human nonverbal behavior multi-sourced ontological annotation. VIGTA@ICVS Boris Knyazev