B. A. Knyazev

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All published works (39)

Action	Title	Date	Authors
+ PDF Ask	Generating $\pi$-Functional Molecules Using STGG+ with Active Learning	2025-02-20	Alexia Jolicoeur-Martineau Yan Zhang B. A. Knyazev Aristide Baratin Chenghao Liu
+ PDF Ask	Learning Versatile Optimizers on a Compute Diet	2025-01-22	Abhinav Moudgil B. A. Knyazev Guillaume Lajoie Eugene Belilovsky
+ PDF Ask	Accelerating Training with Neuron Interaction and Nowcasting Networks	2024-09-06	B. A. Knyazev Abhinav Moudgil Guillaume Lajoie Eugene Belilovsky Simon Lacoste-Julien
+ PDF Ask	Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees	2024-07-12	Alexia Jolicoeur-Martineau Aristide Baratin Kisoo Kwon B. A. Knyazev Yan Zhang
+ PDF Ask	$\mu$LO: Compute-Efficient Meta-Generalization of Learned Optimizers	2024-05-31	Benjamin Thérien C. Joseph B. A. Knyazev Edouard Oyallon Irina Rish Eugene Belilovsky
+ PDF Ask	LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters	2024-05-25	Xinyu Zhou B. A. Knyazev Alexia Jolicoeur-Martineau Jie Fu
+ PDF Ask	Graph Neural Networks for Learning Equivariant Representations of Neural Networks	2024-03-18	Miltiadis Kofinas B. A. Knyazev Yan Zhang Yunlu Chen Gertjan J. Burghouts Efstratios Gavves Cees G. M. Snoek David W. Zhang
+ PDF Ask	Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?	2023-01-01	B. A. Knyazev Doha Hwang Simon Lacoste-Julien
+ PDF Ask	Can We Learn Communication-Efficient Optimizers?	2023-01-01	C. Joseph Benjamin Thérien Abhinav Moudgil B. A. Knyazev Eugene Belilovsky
+ PDF Ask	On Evaluation Metrics for Graph Generative Models	2022-01-01	Rylee Thompson B. A. Knyazev Elahe Ghalebi Jungtaek Kim Graham W. Taylor
+ PDF Ask	Pretraining a Neural Network before Knowing Its Architecture	2022-01-01	B. A. Knyazev
+ PDF Ask	Hyper-Representations for Pre-Training and Transfer Learning	2022-01-01	Konstantin Schürholt B. A. Knyazev Xavier Giró-i-Nieto Damian Borth
+ PDF Ask	Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights	2022-01-01	Konstantin Schürholt B. A. Knyazev Xavier Giró-i-Nieto Damian Borth
+ PDF Ask	Model Zoos: A Dataset of Diverse Populations of Neural Network Models	2022-01-01	Konstantin Schürholt Diyar Taskiran B. A. Knyazev Xavier Giró-i-Nieto Damian Borth
+ PDF Ask	Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning	2021-10-28	Hyunsoo Chung Jungtaek Kim B. A. Knyazev Jinhwi Lee Graham W. Taylor Jaesik Park Minsu Cho
+ PDF Ask	Parameter Prediction for Unseen Deep Architectures	2021-10-25	B. A. Knyazev Michal Drozdzal Graham W. Taylor Adriana Romero-Soriano
+ PDF Ask	Generative Compositional Augmentations for Scene Graph Prediction	2021-10-01	B. A. Knyazev Harm de Vries Cătălina Cangea Graham W. Taylor Aaron Courville Eugene Belilovsky
+ PDF Ask	Learning temporal attention in dynamic graphs with bilinear interactions	2021-03-04	B. A. Knyazev Carolyn Augusta Graham W. Taylor
+ PDF Ask	Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning	2021-01-01	Hyunsoo Chung Jungtaek Kim B. A. Knyazev Jinhwi Lee Graham W. Taylor Jaesik Park Minsu Cho
+ PDF Ask	Parameter Prediction for Unseen Deep Architectures	2021-01-01	B. A. Knyazev Michal Drozdzal Graham W. Taylor Adriana Romero-Soriano
+ PDF Ask	Generative Graph Perturbations for Scene Graph Prediction.	2020-07-11	B. A. Knyazev Harm de Vries Cătălina Cangea Graham W. Taylor Aaron Courville Eugene Belilovsky
+ PDF Ask	Diffraction of bessel beams on 2D amplitude gratings—a new branch in the talbot effect study	2020-04-07	I. A. Kotelnikov Oleg E. Kameshkov B. A. Knyazev
+ PDF Ask	Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation	2020-01-01	B. A. Knyazev Harm de Vries Cătălina Cangea Graham W. Taylor Aaron Courville Eugene Belilovsky
+ PDF Ask	Generative Compositional Augmentations for Scene Graph Prediction	2020-01-01	B. A. Knyazev Harm de Vries Cătălina Cangea Graham W. Taylor Aaron Courville Eugene Belilovsky
+	Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions	2019-09-23	B. A. Knyazev Carolyn Augusta Graham W. Taylor
+	Understanding Attention and Generalization in Graph Neural Networks	2019-05-08	B. A. Knyazev Graham W. Taylor Mohamed R. Amer
+ PDF Ask	Understanding attention in graph neural networks.	2019-05-08	B. A. Knyazev Graham W. Taylor Mohamed R. Amer
+ PDF Ask	Image Classification with Hierarchical Multigraph Networks	2019-01-01	B. A. Knyazev Lin Xiao Mohamed R. Amer Graham W. Taylor
+	Image Classification with Hierarchical Multigraph Networks.	2019-01-01	B. A. Knyazev Lin Xiao Mohamed R. Amer Graham W. Taylor
+ PDF Ask	Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions	2019-01-01	B. A. Knyazev Carolyn Augusta Graham W. Taylor
+ PDF Ask	Understanding Attention and Generalization in Graph Neural Networks	2019-01-01	B. A. Knyazev Graham W. Taylor Mohamed R. Amer
+ PDF Ask	Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules	2018-01-01	B. A. Knyazev Xiao Mei Lin Mohamed R. Amer Graham W. Taylor
+ PDF Ask	Recursive autoconvolution for unsupervised learning of convolutional neural networks	2017-05-01	B. A. Knyazev Erhardt Barth Thomas Martinetz
+ PDF Ask	Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video	2017-01-01	B. A. Knyazev Roman Shvetsov Natalia Efremova Artem Kuharenko
+	Autoconvolution for Unsupervised Feature Learning.	2016-06-02	B. A. Knyazev Erhardt Barth Thomas Martinetz
+	Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural Networks	2016-06-02	B. A. Knyazev Erhardt Barth Thomas Martinetz
+ PDF Ask	Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural Networks	2016-01-01	B. A. Knyazev Erhardt Barth Thomas Martinetz
+ PDF Ask	Diffraction of a surface wave on a conducting rectangular wedge	2013-02-21	I. A. Kotelnikov V. V. Gerasimov B. A. Knyazev
+ PDF Ask	Concentrator of laser energy for thin vapor-cloud production near a surface	1998-10-01	P.I. Melnikov B. A. Knyazev J.B. Greenly

Common Coauthors

Coauthor	Papers Together
Graham W. Taylor	18
Eugene Belilovsky	8
Mohamed R. Amer	6
Cătălina Cangea	4
Aaron Courville	4
Erhardt Barth	4
Thomas Martinetz	4
Harm de Vries	4
Alexia Jolicoeur-Martineau	3
Jungtaek Kim	3
Damian Borth	3
Abhinav Moudgil	3
Konstantin Schürholt	3
Carolyn Augusta	3
Xavier Giró-i-Nieto	3
Yan Zhang	2
Jaesik Park	2
Benjamin Thérien	2
Simon Lacoste-Julien	2
Minsu Cho	2
Guillaume Lajoie	2
Michal Drozdzal	2
C. Joseph	2
I. A. Kotelnikov	2
Hyunsoo Chung	2
Jinhwi Lee	2
Aristide Baratin	2
Adriana Romero-Soriano	2
Doha Hwang	1
Lin Xiao	1
Elahe Ghalebi	1
Xinyu Zhou	1
P.I. Melnikov	1
Cees G. M. Snoek	1
Oleg E. Kameshkov	1
Miltiadis Kofinas	1
Natalia Efremova	1
David W. Zhang	1
V. V. Gerasimov	1
Chenghao Liu	1
Yunlu Chen	1
Irina Rish	1
Efstratios Gavves	1
Diyar Taskiran	1
Gertjan J. Burghouts	1
Artem Kuharenko	1
Rylee Thompson	1
Roman Shvetsov	1
Lin Xiao	1
Edouard Oyallon	1

Commonly Cited References

Action	Title	Date	Authors	# of times referenced
+ PDF Ask	Relational inductive biases, deep learning, and graph networks	2018-01-01	Peter Battaglia Jessica B. Hamrick Victor Bapst Álvaro Sánchez‐González Vinícius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner	5
+ PDF Ask	Neural Motifs: Scene Graph Parsing with Global Context	2018-06-01	Rowan Zellers Mark Yatskar Sam Thomson Yejin Choi	4
+ PDF Ask	Graph Attention Networks	2018-02-15	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	4
+	Semi-Supervised Classification with Graph Convolutional Networks	2016-09-09	Thomas Kipf Max Welling	3
+ PDF Ask	SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels	2018-06-01	Matthias Fey Jan Eric Lenssen Frank Weichert Heinrich Müller	3
+ PDF Ask	Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs	2017-07-01	Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda Michael M. Bronstein	3
+ PDF Ask	Geometric Deep Learning: Going beyond Euclidean data	2017-07-01	Michael M. Bronstein Joan Bruna Yann LeCun Arthur Szlam Pierre Vandergheynst	3
+ PDF Ask	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016-01-01	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	3
+ PDF Ask	Visual Relationship Detection with Language Priors	2016-01-01	Cewu Lu Ranjay Krishna Michael S. Bernstein Li Fei-Fei	3
+ PDF Ask	Representation Learning on Graphs: Methods and Applications	2017-09-17	William L. Hamilton Rex Ying Jure Leskovec	3
+ PDF Ask	Semi-Supervised Classification with Graph Convolutional Networks	2016-01-01	Thomas Kipf Max Welling	3
+ PDF Ask	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015-12-01	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Ask	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017-01-01	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	2
+ PDF Ask	Learning to Compose Dynamic Tree Structures for Visual Contexts	2019-06-01	Kaihua Tang Hanwang Zhang Baoyuan Wu Wenhan Luo Wei Liu	2
+ PDF Ask	Graphical Contrastive Losses for Scene Graph Parsing	2019-06-01	Ji Zhang Kevin J. Shih Ahmed Elgammal Andrew Tao Bryan Catanzaro	2
+ PDF Ask	Spectral Networks and Locally Connected Networks on Graphs	2013-12-21	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	2
+ PDF Ask	How Powerful are Graph Neural Networks?	2018-01-01	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	2
+ PDF Ask	Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection	2017-10-01	Yuan Yuan Xiaodan Liang Xiaolong Wang Dit‐Yan Yeung Abhinav Gupta	2
+ PDF Ask	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018-01-01	Andrew Brock Jeff Donahue Karen Simonyan	2
+ PDF Ask	Hadamard Product for Low-rank Bilinear Pooling	2016-01-01	Jin-Hwa Kim Kyoung-Woon On Woosang Lim Jeonghee Kim Jung-Woo Ha Byoung‐Tak Zhang	2
+ PDF Ask	Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features	2018-01-01	Xu Yang Hanwang Zhang Jianfei Cai	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015-02-11	Sergey Ioffe Christian Szegedy	2
+ PDF Ask	dyngraph2vec: Capturing network dynamics using dynamic graph representation learning	2019-07-01	Palash Goyal Sujit Rokka Chhetri Arquimedes Canedo	2
+ PDF Ask	Knowledge-Embedded Routing Network for Scene Graph Generation	2019-06-01	Tianshui Chen Weihao Yu Riquan Chen Liang Lin	2
+ PDF Ask	Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks	2015-10-29	Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox	2
+ PDF Ask	DynGEM: Deep Embedding Method for Dynamic Graphs	2018-01-01	Palash Goyal Nitin Kamra Xinran He Yan Liu	2
+ PDF Ask	Learning Sequence Encoders for Temporal Knowledge Graph Completion	2018-01-01	Alberto García-Durán Sebastijan Dumančić Mathias Niepert	2
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015-11-19	Alec Radford Luke Metz Soumith Chintala	2
+	On autoconvolution and regularization	1994-04-01	Rudolf Gorenflo Bernd Hofmann	2
+ PDF Ask	A simple neural network module for relational reasoning	2017-01-01	Adam Santoro David Raposo David G. T. Barrett Mateusz Malinowski Razvan Pascanu Peter Battaglia Timothy Lillicrap	2
+ PDF Ask	Unsupervised Learning of Object Structure and Dynamics from Videos.	2019-06-19	Matthias Minderer Chen Sun Ruben Villegas Forrester Cole Kevin Murphy Honglak Lee	2
+ PDF Ask	Visual Translation Embedding Network for Visual Relation Detection	2017-07-01	Hanwang Zhang Zawlin Kyaw Shih-Fu Chang Tat‐Seng Chua	2
+ PDF Ask	An Analysis of Unsupervised Pre-training in Light of Recent Advances	2014-12-20	Tom Le Paine Pooya Khorrami Wei Han Thomas S. Huang	2
+ PDF Ask	Scene Graph Generation by Iterative Message Passing	2017-07-01	Danfei Xu Yuke Zhu Christopher Choy Li Fei-Fei	2
+	Graph networks as learnable physics engines for inference and control	2018-06-04	Álvaro Sánchez‐González Nicolas Heess Jost Tobias Springenberg Josh Merel Martin Riedmiller Raia Hadsell Peter Battaglia	2
+ PDF Ask	Winner-Take-All Autoencoders	2014-01-01	Alireza Makhzani Brendan J. Frey	2
+ PDF Ask	Introduction to Point Processes	2011-01-01	Frederic Paik Schoenberg	2
+ PDF Ask	Inductive Representation Learning on Large Graphs	2017-06-07	William L. Hamilton Rex Ying Jure Leskovec	2
+ PDF Ask	Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions	2011-01-01	Nathan Halko Per‐Gunnar Martinsson Joel A. Tropp	2
+ PDF Ask	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015-01-01	Sergey Ioffe Christian Szegedy	2
+ PDF Ask	Striving for Simplicity: The All Convolutional Net	2014-12-21	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	2
+ PDF Ask	Graph R-CNN for Scene Graph Generation	2018-01-01	Jianwei Yang Jiasen Lu Stefan Lee Dhruv Batra Devi Parikh	2
+ PDF Ask	The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables	2016-01-01	Chris J. Maddison Andriy Mnih Yee Whye Teh	2
+ PDF Ask	Deep convolutional neural networks as generic feature extractors	2015-07-01	Lars Hertel Erhardt Barth Thomas Käster Thomas Martinetz	2
+ PDF Ask	Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey.	2019-05-27	Seyed Mehran Kazemi Rishab Goel Kshitij Jain Ivan Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart	2
+ PDF Ask	Convolutional Clustering for Unsupervised Learning	2015-01-01	Ayşegül Dündar Jonghoon Jin Eugenio Culurciello	2
+ PDF Ask	Gated Graph Sequence Neural Networks	2016-04-01	Yujia Li Daniel Tarlow Marc Brockschmidt Richard S. Zemel	2
+	The dynamic nature of contact networks in infectious disease epidemiology	2010-09-01	Shweta Bansal Jonathan M. Read Babak Pourbohloul Lauren Ancel Meyers	2
+ PDF Ask	Fast and robust fixed-point algorithms for independent component analysis	1999-05-01	Aapo Hyvärinen	2
+ PDF Ask	Graph U-Nets	2019-05-11	Hongyang Gao Shuiwang Ji	2