Latest 15 Papers - June 25, 2024

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Time Series

Title	Date	Comment
Fine-grained Attention in Hierarchical Transformers for Tabular Time-series	2024-06-21	9 pages
A Tiny Transformer for Low-Power Arrhythmia Classification on Microcontrollers	2024-06-21	2024 ... 2024 IEEE Transactions on Biomedical Circuits and Systems
Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Series	2024-06-21	In pu... In publication for IEEE Conference on Automation and Smart Engineering (CASE) 2024
Causal Learning in Biomedical Applications	2024-06-21
How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series	2024-06-21
The Influence of Nuisance Parameter Uncertainty on Statistical Inference in Practical Data Science Models	2024-06-21
Predicting Progression Events in Multiple Myeloma from Routine Blood Work	2024-06-21	18 pa... 18 pages, 8 figures, 4, tables
Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference	2024-06-21
Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing	2024-06-21
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations	2024-06-21	ICML 2024
QxEAI: Quantum-like evolutionary algorithm for automated probabilistic forecasting	2024-06-21
ImageFlowNet: Forecasting Multiscale Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images	2024-06-20
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law	2024-06-20
Capturing Temporal Components for Time Series Classification	2024-06-20	15 pa... 15 pages, 2 figures, 4 tables
WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark	2024-06-20	26 pages,13 figures

Trajectory

Title	Date	Comment
Extraction of 3D trajectories of mandibular condyles from 2D real-time MRI	2024-06-21
DiffTOP: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning	2024-06-21
ImageFlowNet: Forecasting Multiscale Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images	2024-06-20
Singular knee identification to support emergence recognition in physical swarm and cellular automata trajectories	2024-06-20	14 pa... 14 pages, 11 figures; includes 2 supplementary pages
ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights	2024-06-20	Proje... Project website: http://ical-learning.github.io/
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding	2024-06-20	10 pages
Identifying User Goals from UI Trajectories	2024-06-20
GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker for Autonomous Driving in Mixed Traffic Environments	2024-06-20
Language-Driven Closed-Loop Grasping with Model-Predictive Trajectory Replanning	2024-06-19	9 pages, 6 figures
Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic Participants	2024-06-19
Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following	2024-06-19	48 pages, 21 figures
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs	2024-06-18
Language Models as Zero-Shot Trajectory Generators	2024-06-17	Publi... Published in IEEE Robotics and Automation Letters (Volume: 9, Issue: 7, July 2024, Pages: 6728-6735); 10 pages, 12 figures
Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift	2024-06-17	9 pages, 2 figures
Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction	2024-06-17

Graph Neural Networks

Title	Date	Comment
Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network	2024-06-21
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection	2024-06-21
Exponential Quantum Communication Advantage in Distributed Inference and Learning	2024-06-21
Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs	2024-06-21
Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction	2024-06-21
NeuroCUT: A Neural Approach for Robust Graph Partitioning	2024-06-21	To ap... To appear in Knowledge Discovery and Data Mining(KDD), 2024
Towards General Negotiation Strategies with End-to-End Reinforcement Learning	2024-06-21	Accep... Accepted at the Reinforcement Learning Conference (RLC) 2024
Transferability of Graph Neural Networks using Graphon and Sampling Theories	2024-06-21
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions	2024-06-21
Efficient Graph Similarity Computation with Alignment Regularization	2024-06-21	NeurIPS 2022
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks	2024-06-21	9 pag... 9 pages, 1figure, 1 Table (A perprint version)
Relational Reasoning On Graphs Using Opinion Dynamics	2024-06-20	14 pages, 7 figures
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective	2024-06-20	Accepted in KDD 2024
Graph Neural Thompson Sampling	2024-06-20
Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease	2024-06-20	Submi... Submitted to Machine Learning in Computational Biology 2024 as an extended abstract, 2 pages + 1 appendix