output
20112026
most citedOptimization Problems for Machine Learning: A Survey

373 citations

Showing 2023Show all

15 papers · 1 filter

quant-ph2023★ 85 cited

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Yuri Alexeev, Maximilian Amsler, Paul Baity +124

Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…

quant-ph2023★ 181 cited

Challenges and Opportunities in Quantum Optimization

Amira Abbas, Andris Ambainis, Brandon Augustino +43

Recent advances in quantum computers are demonstrating the ability to solve problems at a scale beyond brute force classical simulation. As such, a widespread interest in quantum a…

cs.HC2023★ 2 cited

Enabling the Evaluation of Driver Physiology Via Vehicle Dynamics

Rodrigo Ordonez-Hurtado, Bo Wen, Nicholas Barra +4

Driving is a daily routine for many individuals across the globe. This paper presents the configuration and methodologies used to transform a vehicle into a connected ecosystem cap…

cs.AI2023★ 9 cited

Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities

Jiaoyan Chen, Hang Dong, Janna Hastings +6

The term life sciences refers to the disciplines that study living organisms and life processes, and include chemistry, biology, medicine, and a range of other related disciplines.…

cs.IR2023★ 39 cited

Formalizing Multimedia Recommendation through Multimodal Deep Learning

Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo +3

Recommender systems (RSs) offer personalized navigation experiences on online platforms, but recommendation remains a challenging task, particularly in specific scenarios and domai…

cs.CR2023★ 6 cited

Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing

Daniel Gibert, Giulio Zizzo, Quan Le

Malware detectors based on deep learning (DL) have been shown to be susceptible to malware examples that have been deliberately manipulated in order to evade detection, a.k.a. adve…