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papers

Publications (28)

cs.LG2026

Celo2: Towards Learned Optimization Free Lunch

Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky

cs.LG2023

Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?

Boris Knyazev, Doha Hwang, Simon Lacoste-Julien

cs.LG2022

Model Zoos: A Dataset of Diverse Populations of Neural Network Models

Konstantin Schürholt, Diyar Taskiran, Boris Knyazev +2

stat.ML2020

Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions

Boris Knyazev, Carolyn Augusta, Graham W. Taylor

cs.LG2019

Understanding Attention and Generalization in Graph Neural Networks

Boris Knyazev, Graham W. Taylor, Mohamed R. Amer

cs.LG2026

$μ$LO: Compute-Efficient Meta-Generalization of Learned Optimizers

Benjamin Thérien, Charles-Étienne Joseph, Boris Knyazev +3

cs.CV2022

Pretraining a Neural Network before Knowing Its Architecture

Boris Knyazev

cs.CV2020

Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation

Boris Knyazev, Harm de Vries, Cătălina Cangea +3

cs.LG2021

Parameter Prediction for Unseen Deep Architectures

Boris Knyazev, Michal Drozdzal, Graham W. Taylor +1

cs.LG2021

Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning

Hyunsoo Chung, Jungtaek Kim, Boris Knyazev +4

cs.CV2019

Image Classification with Hierarchical Multigraph Networks

Boris Knyazev, Xiao Lin, Mohamed R. Amer +1

cs.AI2026

M^4olGen: Multi-Agent, Multi-Stage Molecular Generation under Precise Multi-Property Constraints

Yizhan Li, Florence Cloutier, Sifan Wu +5

cs.CV2025

(Almost) Free Modality Stitching of Foundation Models

Jaisidh Singh, Diganta Misra, Boris Knyazev +1

cs.LG2025

Meta-learning Optimizers for Communication-Efficient Learning

Charles-Étienne Joseph, Benjamin Thérien, Abhinav Moudgil +2

cs.CV2021

Generative Compositional Augmentations for Scene Graph Prediction

Boris Knyazev, Harm de Vries, Cătălina Cangea +3

cs.LG2025

Accelerating Training with Neuron Interaction and Nowcasting Networks

Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie +2

cs.LG2022

On Evaluation Metrics for Graph Generative Models

Rylee Thompson, Boris Knyazev, Elahe Ghalebi +2

cs.CV2017

Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video

Boris Knyazev, Roman Shvetsov, Natalia Efremova +1

cs.LG2025

Celo: Training Versatile Learned Optimizers on a Compute Diet

Abhinav Moudgil, Boris Knyazev, Guillaume Lajoie +1

cs.LG2025

Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees

Alexia Jolicoeur-Martineau, Aristide Baratin, Kisoo Kwon +2

cs.LG2024

LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters

Xinyu Zhou, Boris Knyazev, Alexia Jolicoeur-Martineau +1

cs.LG2022

Hyper-Representations for Pre-Training and Transfer Learning

Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto +1

cs.LG2018

Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules

Boris Knyazev, Xiao Lin, Mohamed R. Amer +1

cs.CV2017

Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural Networks

Boris Knyazev, Erhardt Barth, Thomas Martinetz

cs.LG2025

Generating $π$-Functional Molecules Using STGG+ with Active Learning

Alexia Jolicoeur-Martineau, Yan Zhang, Boris Knyazev +2

cs.LG2022

Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights

Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto +1

cs.AI2026

REAM: Merging Improves Pruning of Experts in LLMs

Saurav Jha, Maryam Hashemzadeh, Ali Saheb Pasand +3

cs.LG2024

Graph Neural Networks for Learning Equivariant Representations of Neural Networks

Miltiadis Kofinas, Boris Knyazev, Yan Zhang +5