Summary of Learning Chaotic Systems and Long-term Predictions with Neural Jump Odes, by Florian Krach and Josef Teichmann
Learning Chaotic Systems and Long-Term Predictions with Neural Jump ODEsby Florian Krach, Josef TeichmannFirst submitted…
Summary of Online Planning in Pomdps with State-requests, by Raphael Avalos et al.
Online Planning in POMDPs with State-Requestsby Raphael Avalos, Eugenio Bargiacchi, Ann Nowé, Diederik M. Roijers,…
Summary of Deep Companion Learning: Enhancing Generalization Through Historical Consistency, by Ruizhao Zhu et al.
Deep Companion Learning: Enhancing Generalization Through Historical Consistencyby Ruizhao Zhu, Venkatesh SaligramaFirst submitted to arxiv…
Summary of Conversational Dueling Bandits in Generalized Linear Models, by Shuhua Yang et al.
Conversational Dueling Bandits in Generalized Linear Modelsby Shuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang,…
Summary of Towards More Accurate Prediction Of Human Empathy and Emotion in Text and Multi-turn Conversations by Combining Advanced Nlp, Transformers-based Networks, and Linguistic Methodologies, By Manisha Singh et al.
Towards More Accurate Prediction of Human Empathy and Emotion in Text and Multi-turn Conversations by…
Summary of The Formation Of Perceptual Space in Early Phonetic Acquisition: a Cross-linguistic Modeling Approach, by Frank Lihui Tan and Youngah Do
The formation of perceptual space in early phonetic acquisition: a cross-linguistic modeling approachby Frank Lihui…
Summary of Workr: Occupation Inference For Intelligent Task Assistance, by Yonchanok Khaokaew et al.
WorkR: Occupation Inference for Intelligent Task Assistanceby Yonchanok Khaokaew, Hao Xue, Mohammad Saiedur Rahaman, Flora…
Summary of Tcgpn: Temporal-correlation Graph Pre-trained Network For Stock Forecasting, by Wenbo Yan et al.
TCGPN: Temporal-Correlation Graph Pre-trained Network for Stock Forecastingby Wenbo Yan, Ying TanFirst submitted to arxiv…
Summary of Dtformer: a Transformer-based Method For Discrete-time Dynamic Graph Representation Learning, by Xi Chen et al.
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learningby Xi Chen, Yun Xiong, Siwei…
Summary of Is Larger Always Better? Evaluating and Prompting Large Language Models For Non-generative Medical Tasks, by Yinghao Zhu et al.
Is larger always better? Evaluating and prompting large language models for non-generative medical tasksby Yinghao…