Publications de Igor Krawczuk | EPFL Graph Search

DiGress: Discrete Denoising diffusion for graph generation

Pascal Frossard, Volkan Cevher, Igor Krawczuk, Bohan Wang, Clément Arthur Yvon Vignac

This work introduces DiGress, a discrete denoising diffusion model for generating graphs with categorical node and edge attributes. Our model utilizes a discrete diffusion process that progressively edits graphs with noise, through the process of adding or ...

2023

Proximal Point Imitation Learning

Volkan Cevher, Luca Viano, Igor Krawczuk, Angeliki Kamoutsi

This work develops new algorithms with rigorous efficiency guarantees for infinite horizon imitation learning (IL) with linear function approximation without restrictive coherence assumptions. We begin with the minimax formulation of the problem and then o ...

2022

Multi-ReRAM synapses for artificial neural network training

Elmira Shahrabi, Igor Krawczuk, Yusuf Leblebici, Irem Boybat Kara, Carlo Ricciardi, Cecilia Giovinazzo, Evangelos Eleftheriou, Abu Sebastian

Metal-oxide-based resistive memory devices (ReRAM) are being actively researched as synaptic elements of neuromorphic co-processors for training deep neural networks (DNNs). However, device-level non-idealities are posing significant challenges. In this wo ...

IEEE2019

Effect of metal buffer layer and thermal annealing on HfOx-based ReRAMs

Elmira Shahrabi, Igor Krawczuk, Yusuf Leblebici, Jury Sandrini, Behnoush Attarimashalkoubeh

In this paper, we investigate different methods and approaches in order to improve the electrical characteristics of Pt/HfOx/TiN ReRAM devices. We discuss the improvement of the ReRAM electrical characteristics after the insertion of a Hf and Ti buffer lay ...

Ieee2016

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Igor Krawczuk

Graph generative deep learning models with an application to circuit topologies

DiGress: Discrete Denoising diffusion for graph generation

Proximal Point Imitation Learning

Multi-ReRAM synapses for artificial neural network training

Effect of metal buffer layer and thermal annealing on HfOx-based ReRAMs

Graph Chatbot

Chattez avec Graph Search

DiGress: Discrete Denoising diffusion for graph generation

Graph generative deep learning models with an application to circuit topologies

Proximal Point Imitation Learning

Multi-ReRAM synapses for artificial neural network training

Effect of metal buffer layer and thermal annealing on HfOx-based ReRAMs