Summary of A Generalization Bound For a Family Of Implicit Networks, by Samy Wu Fung and Benjamin Berkels
A Generalization Bound for a Family of Implicit Networksby Samy Wu Fung, Benjamin BerkelsFirst submitted…
Summary of Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Models, by Alain Andres and Javier Del Ser
Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Modelsby Alain Andres, Javier Del SerFirst…
Summary of Eventflow: Forecasting Continuous-time Event Data with Flow Matching, by Gavin Kerrigan et al.
EventFlow: Forecasting Continuous-Time Event Data with Flow Matchingby Gavin Kerrigan, Kai Nelson, Padhraic SmythFirst submitted…
Summary of Online Epsilon Net and Piercing Set For Geometric Concepts, by Sujoy Bhore et al.
Online Epsilon Net and Piercing Set for Geometric Conceptsby Sujoy Bhore, Devdan Dey, Satyam SinghFirst…
Summary of A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research, by Seongjin Choi et al.
A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Researchby Seongjin Choi, Zhixiong…
Summary of Reife: Re-evaluating Instruction-following Evaluation, by Yixin Liu et al.
ReIFE: Re-evaluating Instruction-Following Evaluationby Yixin Liu, Kejian Shi, Alexander R. Fabbri, Yilun Zhao, Peifeng Wang,…
Summary of Inattention: Linear Context Scaling For Transformers, by Joseph Eisner
InAttention: Linear Context Scaling for Transformersby Joseph EisnerFirst submitted to arxiv on: 9 Oct 2024CategoriesMain:…
Summary of Let’s Ask Gnn: Empowering Large Language Model For Graph In-context Learning, by Zhengyu Hu et al.
Let’s Ask GNN: Empowering Large Language Model for Graph In-Context Learningby Zhengyu Hu, Yichuan Li,…
Summary of Retrieval-augmented Decision Transformer: External Memory For In-context Rl, by Thomas Schmied et al.
Retrieval-Augmented Decision Transformer: External Memory for In-context RLby Thomas Schmied, Fabian Paischer, Vihang Patil, Markus…
Summary of Moose-chem: Large Language Models For Rediscovering Unseen Chemistry Scientific Hypotheses, by Zonglin Yang et al.
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypothesesby Zonglin Yang, Wanhao Liu, Ben…