AI Agent

Instant Representation Learning for Recommendation over Large Dynamic Graphs

Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG

Comments ICDE 2023

Towards Confidential Computing: A Secure Cloud Architecture for Big Data Analytics and AI

Naweiluo Zhou, Florent Dufour, Vinzent Bode, Peter Zinterhof, Nicolay J Hammer, Dieter Kranzlmüller

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI

Comments 2023 IEEE 16th International Conference on Cloud Computing (IEEE CLOUD), Chicago, Illinois, USA, July 2-8, 2023

Pair-Variational Autoencoders (PairVAE) for Linking and Cross-Reconstruction of Characterization Data from Complementary Structural Characterization Techniques

Shizhao Lu, Arthi Jayaraman

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG

Comments 23 pages, 7 figures

Scaling Novel Object Detection with Weakly Supervised Detection Transformers

Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG

Comments WACV 2023. Preliminary version appeared in CVPR 2022 Workshop on Transformers for Vision

Market Making with Deep Reinforcement Learning from Limit Order Books

Hong Guo, Jianwu Lin, Fanlin Huang

专题命中 工作流自动化 ：agent(abstract)；分类 cs.LG

FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imagery

Anatol Garioud, Apolline De Wit, Marc Poupée, Marion Valette, Sébastien Giordano, Boris Wattrelos

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG

Simulating News Recommendation Ecosystem for Fun and Profit

Guangping Zhang, Dongsheng Li, Hansu Gu, Tun Lu, Li Shang, Ning Gu

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI

Comments This work has been submitted to the IEEE for possible publication. Post-publication copyright may be transferred with notice, after which this version may no longer be accessible

ChatGPT as your Personal Data Scientist

Md Mahadi Hassan, Alex Knipper, Shubhra Kanti Karmaker Santu

专题命中 工作流自动化 ：agent(abstract)；分类 cs.CL

Hyper-automation-The next peripheral for automation in IT industries

Ayush Singh Rajput, Richa Gupta

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI

Automatic Design Method of Building Pipeline Layout Based on Deep Reinforcement Learning

Chen Yang, Zhe Zheng, Jia-Rui Lin

专题命中 工作流自动化 ：agent(abstract)；分类 cs.LG

Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET

Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Romiger, Kuangyu Shi, Nassir Navab, Thomas Wendler

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG

Addressing computational challenges in physical system simulations with machine learning

Sabber Ahamed, Md Mesbah Uddin

专题命中 工作流自动化 ：agent(abstract)；分类 cs.LG

Reliable extrapolation of deep neural operators informed by physics or sparse observations

Min Zhu, Handi Zhang, Anran Jiao, George Em Karniadakis, Lu Lu

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG

RDF Surfaces: Computer Says No

Patrick Hochstenbach, Jos De Roo, Ruben Verborgh

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.SE

Comments 5 pages, position paper for the ESWC2023 TrusDeKW workshop

PMP: Learning to Physically Interact with Environments using Part-wise Motion Priors

Jinseok Bae, Jungdam Won, Donggeun Lim, Cheol-Hui Min, Young Min Kim

专题命中 工作流自动化 ：agent(abstract)；分类 cs.LG

Comments 13 pages, 11 figures

Conditional Feature Importance for Mixed Data

Kristin Blesch, David S. Watson, Marvin N. Wright

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG

Journal ref AStA Advances in Statistical Analysis (2023)

Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach

Junlin Lu, Patrick Mannion, Karl Mason

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI

Comments This work is accepted by ALA 2023 Adaptive and Learning Agents Workshop at AAMAS, London, UK

SciKGTeX -- A LaTeX Package to Semantically Annotate Contributions in Scientific Publications

Christof Bless, Ildar Baimuratov, Oliver Karras

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.SE

Comments Accepted for publication at the ACM/IEEE Joint Conference on Digital Libraries 2023 (JCDL2023)

Uni-QSAR: an Auto-ML Tool for Molecular Property Prediction

Zhifeng Gao, Xiaohong Ji, Guojiang Zhao, Hongshuai Wang, Hang Zheng, Guolin Ke, Linfeng Zhang

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG

Microwalk-CI: Practical Side-Channel Analysis for JavaScript Applications

Jan Wichelmann, Florian Sieck, Anna Pätschke, Thomas Eisenbarth

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.SE

Journal ref Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, New York, NY, USA

Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models

Stephen Brade, Bryan Wang, Mauricio Sousa, Sageev Oore, Tovi Grossman

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI

A study on a Q-Learning algorithm application to a manufacturing assembly problem

Miguel Neves, Miguel Vieira, Pedro Neto

专题命中 工作流自动化 ：agent(abstract)；分类 cs.LG

Journal ref Journal of Manufacturing Systems, 59, 426-440, 2021

Accelerated Distributed Aggregative Optimization

Jiaxu Liu, Song Chen, Shengze Cai, Chao Xu

专题命中 工作流自动化 ：agent(abstract)；分类 cs.LG

A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next steps

Tyler H. Chang, Jakob R. Elias, Stefan M. Wild, Santanu Chaudhuri, Joseph A. Libera

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG

End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs

Javier Campos, Zhen Dong, Javier Duarte, Amir Gholami, Michael W. Mahoney, Jovan Mitrevski, Nhan Tran

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG

Comments 19 pages, 6 figures, 2 tables

Bidirectional UML Visualisation of VDM Models

Jonas Lund, Lucas Bjarke Jensen, Nick Battle, Peter Gorm Larsen, Hugo Daniel Macedo

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.SE

Power-seeking can be probable and predictive for trained agents

Victoria Krakovna, Janos Kramar

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI

LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity

Anjana Arunkumar, Shubham Sharma, Rakhi Agrawal, Sriram Chandrasekaran, Chris Bryan

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.CL

Comments 13 pages, 6 figures, Eurovis 2023

A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas

Mohamed Tarek, Jose Storopoli, Casey Davis, Chris Elrod, Julius Krumbiegel, Chris Rackauckas, Vijay Ivaturi

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG

A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments

Arpan Biswas, Yongtao Liu, Nicole Creange, Yu-Chen Liu, Stephen Jesse, Jan-Chi Yang, Sergei V. Kalinin, Maxim A. Ziatdinov, Rama K. Vasudevan

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG

Comments 7 figures in main text, 3 figures in Supp Material