Summary of The Dimension Of Self-directed Learning, by Pramith Devulapalli and Steve Hanneke
The Dimension of Self-Directed Learningby Pramith Devulapalli, Steve HannekeFirst submitted to arxiv on: 20 Feb…
Summary of Fairness Risks For Group-conditionally Missing Demographics, by Kaiqi Jiang et al.
Fairness Risks for Group-conditionally Missing Demographicsby Kaiqi Jiang, Wenzhe Fan, Mao Li, Xinhua ZhangFirst submitted…
Summary of Towards Accelerating Physical Discovery Via Non-interactive and Interactive Multi-fidelity Bayesian Optimization: Current Challenges and Future Opportunities, by Arpan Biswas et al.
Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future…
Summary of Scaling Physics-informed Hard Constraints with Mixture-of-experts, by Nithin Chalapathi and Yiheng Du and Aditi Krishnapriyan
Scaling physics-informed hard constraints with mixture-of-expertsby Nithin Chalapathi, Yiheng Du, Aditi KrishnapriyanFirst submitted to arxiv…
Summary of Bayesian Neural Networks with Domain Knowledge Priors, by Dylan Sam et al.
Bayesian Neural Networks with Domain Knowledge Priorsby Dylan Sam, Rattana Pukdee, Daniel P. Jeong, Yewon…
Summary of Harnessing Large Language Models As Post-hoc Correctors, by Zhiqiang Zhong and Kuangyu Zhou and Davide Mottin
Harnessing Large Language Models as Post-hoc Correctorsby Zhiqiang Zhong, Kuangyu Zhou, Davide MottinFirst submitted to…
Summary of Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding, By Zhiqiang Zhong and Davide Mottin
Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encodingby Zhiqiang Zhong, Davide MottinFirst submitted…
Summary of Context-aware Quantitative Risk Assessment Machine Learning Model For Drivers Distraction, by Adebamigbe Fasanmade et al.
Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distractionby Adebamigbe Fasanmade, Ali H. Al-Bayatti,…
Summary of Investigating the Histogram Loss in Regression, by Ehsan Imani et al.
Investigating the Histogram Loss in Regressionby Ehsan Imani, Kai Luedemann, Sam Scholnick-Hughes, Esraa Elelimy, Martha…
Summary of Linksage: Optimizing Job Matching Using Graph Neural Networks, by Ping Liu et al.
LinkSAGE: Optimizing Job Matching Using Graph Neural Networksby Ping Liu, Haichao Wei, Xiaochen Hou, Jianqiang…