Summary of Chain and Causal Attention For Efficient Entity Tracking, by Erwan Fagnou et al.
Chain and Causal Attention for Efficient Entity Trackingby Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre…
Summary of Mars: Multi-view Attention Regularizations For Patch-based Feature Recognition Of Space Terrain, by Timothy Chase Jr et al.
MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrainby Timothy Chase Jr, Karthik…
Summary of Permissive Information-flow Analysis For Large Language Models, by Shoaib Ahmed Siddiqui et al.
Permissive Information-Flow Analysis for Large Language Modelsby Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David…
Summary of Stateact: State Tracking and Reasoning For Acting and Planning with Large Language Models, by Nikolai Rozanov and Marek Rei
StateAct: State Tracking and Reasoning for Acting and Planning with Large Language Modelsby Nikolai Rozanov,…
Summary of Mmfnet: Multi-scale Frequency Masking Neural Network For Multivariate Time Series Forecasting, by Aitian Ma et al.
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecastingby Aitian Ma, Dongsheng Luo,…
Summary of Convergent Privacy Loss Of Noisy-sgd Without Convexity and Smoothness, by Eli Chien et al.
Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothnessby Eli Chien, Pan LiFirst submitted to…
Summary of Training a Computer Vision Model For Commercial Bakeries with Primarily Synthetic Images, by Thomas H. Schmitt et al.
Training a Computer Vision Model for Commercial Bakeries with Primarily Synthetic Imagesby Thomas H. Schmitt,…
Summary of Find Rhinos Without Finding Rhinos: Active Learning with Multimodal Imagery Of South African Rhino Habitats, by Lucia Gordon et al.
Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitatsby…
Summary of Safe Time-varying Optimization Based on Gaussian Processes with Spatio-temporal Kernel, by Jialin Li and Marta Zagorowska and Giulia De Pasquale and Alisa Rupenyan and John Lygeros
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernelby Jialin Li, Marta Zagorowska, Giulia…
Summary of Model-free Stochastic Process Modeling and Optimization Using Normalizing Flows, by Eike Cramer
Model-Free Stochastic Process Modeling and Optimization using Normalizing Flowsby Eike CramerFirst submitted to arxiv on:…