Summary of Pig: Physics-informed Gaussians As Adaptive Parametric Mesh Representations, by Namgyu Kang et al.
PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representationsby Namgyu Kang, Jaemin Oh, Youngjoon Hong, Eunbyung…
Summary of Does Rlhf Scale? Exploring the Impacts From Data, Model, and Method, by Zhenyu Hou et al.
Does RLHF Scale? Exploring the Impacts From Data, Model, and Methodby Zhenyu Hou, Pengfan Du,…
Summary of 1-800-shared-tasks at Regnlp: Lexical Reranking Of Semantic Retrieval (leser) For Regulatory Question Answering, by Jebish Purbey et al.
1-800-SHARED-TASKS at RegNLP: Lexical Reranking of Semantic Retrieval (LeSeR) for Regulatory Question Answeringby Jebish Purbey,…
Summary of Siforest: Detecting Network Anomalies with Set-structured Isolation Forest, by Christie Djidjev
siForest: Detecting Network Anomalies with Set-Structured Isolation Forestby Christie DjidjevFirst submitted to arxiv on: 8…
Summary of Post-hoc Probabilistic Vision-language Models, by Anton Baumann et al.
Post-hoc Probabilistic Vision-Language Modelsby Anton Baumann, Rui Li, Marcus Klasson, Santeri Mentu, Shyamgopal Karthik, Zeynep…
Summary of Track4gen: Teaching Video Diffusion Models to Track Points Improves Video Generation, by Hyeonho Jeong et al.
Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generationby Hyeonho Jeong, Chun-Hao Paul…
Summary of Can Generative Ai Solve Your In-context Learning Problem? a Martingale Perspective, by Andrew Jesson and Nicolas Beltran-velez and David Blei
Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspectiveby Andrew Jesson, Nicolas Beltran-Velez,…
Summary of On Socially Fair Low-rank Approximation and Column Subset Selection, by Zhao Song et al.
On Socially Fair Low-Rank Approximation and Column Subset Selectionby Zhao Song, Ali Vakilian, David P.…
Summary of Curse Of Attention: a Kernel-based Perspective For Why Transformers Fail to Generalize on Time Series Forecasting and Beyond, by Yekun Ke et al.
Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series…
Summary of Hyperspectral Image Spectral-spatial Feature Extraction Via Tensor Principal Component Analysis, by Yuemei Ren et al.
Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysisby Yuemei Ren, Liang Liao, Stephen…