Neural Approximation of Graph Topological Features
- Zuoyu Yan
- Tengfei Ma
- et al.
- 2022
- NeurIPS 2022
Publications
A case for using cache line deltas for high frequency VM snapshotting
- Daniel Waddington
- Moshik Hershcovitch
- et al.
- 2022
- SoCC 2022
SIMPPO: A Scalable and Incremental Online Learning Framework for Serverless Resource Management
- Haoran Qiu
- Weichao Mao
- et al.
- 2022
- SoCC 2022
NorBERT: NetwOrk Representations through BERT for Network Analysis and Management
- Franck Le
- Davis Wertheimer
- et al.
- 2022
- MASCOTS 2022
Sketching the Best Approximate Quantum Compiling Problem
- Liam Madden
- Albert Akhriev
- et al.
- 2022
- QCE 2022
Stable Toffoli Gate on Fixed-Frequency Superconducting Qutrits
- Wonho Jang
- Yutaro Iiyama
- et al.
- 2022
- QCE 2022
A Scalable AutoML Approach Based on Graph Neural Networks
- Mossad Helali
- Essam Mansour
- et al.
- 2022
- VLDB 2022
Bridging the gap between rule-based expert systems and machine learning in computer-aided retrosynthetic design
- Daniel Probst
- Anastasia Sveshnikova
- et al.
- 2022
- ACS Fall 2022
Improvements in accuracy of quantum algorithms without increasing the footprint on the quantum computer
- Julia Rice
- Mario Motta
- et al.
- 2022
- ACS Fall 2022
Combining high-quality, humanly curated data with language models: the dawn of on-demand machine learning models for digital chemistry
- Alain Vaucher
- Fiona Shortt de Hernandez
- et al.
- 2022
- ACS Fall 2022