:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xu, Tao, Hu, Zhixin, Luo, Li, Xiong, Momiao
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2601.02433
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reinforcement Learning in hyperbolic space for multi-step reasoning
by: Xu, Tao, et al.
Published: (2025)

Volume-Sorted Prediction Set: Efficient Conformal Prediction for Multi-Target Regression
by: Luo, Rui, et al.
Published: (2025)

Trustworthy Classification through Rank-Based Conformal Prediction Sets
by: Luo, Rui, et al.
Published: (2024)

Weighted Aggregation of Conformity Scores for Classification
by: Luo, Rui, et al.
Published: (2024)

Conditional Conformal Risk Adaptation
by: Luo, Rui, et al.
Published: (2025)

Conformal Thresholded Intervals for Efficient Regression
by: Luo, Rui, et al.
Published: (2024)

Conformalized Interval Arithmetic with Symmetric Calibration
by: Luo, Rui, et al.
Published: (2024)

Co-optimization for Adaptive Conformal Prediction
by: Su, Xiaoyi, et al.
Published: (2026)

Fast Conformal Prediction using Conditional Interquantile Intervals
by: Guo, Naixin, et al.
Published: (2026)

Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models
by: Su, Xiaoyi, et al.
Published: (2024)

Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection
by: Lai, Zhixin, et al.
Published: (2024)

TrojanPraise: Jailbreak LLMs via Benign Fine-Tuning
by: Xie, Zhixin, et al.
Published: (2026)

Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
by: Wang, Ting, et al.
Published: (2025)

Enhanced Route Planning with Calibrated Uncertainty Set
by: Tang, Lingxuan, et al.
Published: (2025)

From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics
by: Chen, Zheng-An, et al.
Published: (2025)

Learning Physical Simulation with Message Passing Transformer
by: Xu, Zeyi, et al.
Published: (2024)

Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM Alignment
by: Chu, Xu, et al.
Published: (2025)

ParaDySe: A Parallel-Strategy Switching Framework for Dynamic Sequence Lengths in Transformer
by: Ou, Zhixin, et al.
Published: (2025)

Separated-Variable Spectral Neural Networks: A Physics-Informed Learning Approach for High-Frequency PDEs
by: Xiong, Xiong, et al.
Published: (2025)

Sharper Generalization Bounds for Transformer
by: Li, Yawen, et al.
Published: (2026)

xLSTM-PINN: Memory-Gated Spectral Remodeling for Physics-Informed Learning
by: Tao, Ze, et al.
Published: (2025)

Q-value Regularized Transformer for Offline Reinforcement Learning
by: Hu, Shengchao, et al.
Published: (2024)

HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
by: Hu, Shengchao, et al.
Published: (2024)

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
by: Bao, Jie, et al.
Published: (2025)

Sub-Sequential Physics-Informed Learning with State Space Model
by: Xu, Chenhui, et al.
Published: (2025)

GoQuant: Geometric Orthogonal Residual Projection for Multiplier-Free Power-of-Two Transformer Quantization
by: Xiang, Maoyang, et al.
Published: (2026)

Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction
by: Huang, Zhixin, et al.
Published: (2024)

A Novel Pseudo Nearest Neighbor Classification Method Using Local Harmonic Mean Distance
by: Chen, Junzhuo, et al.
Published: (2024)

Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging
by: Luo, Rui, et al.
Published: (2024)

Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation
by: Bao, Jie, et al.
Published: (2024)

Physics-Guided Multimodal Transformers are the Necessary Foundation for the Next Generation of Meteorological Science
by: Han, Jing, et al.
Published: (2025)

Neighbourhood Transformer: Switchable Attention for Monophily-Aware Graph Learning
by: Luo, Yi, et al.
Published: (2026)

An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
by: Hu, Yunzhe, et al.
Published: (2024)

Hyper-SET: Designing Transformers via Hyperspherical Energy Minimization
by: Hu, Yunzhe, et al.
Published: (2025)

Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation
by: Li, Tao, et al.
Published: (2025)

Inductive Spatio-Temporal Kriging with Physics-Guided Increment Training Strategy for Air Quality Inference
by: Yang, Songlin, et al.
Published: (2025)

Otters: An Energy-Efficient SpikingTransformer via Optical Time-to-First-Spike Encoding
by: Yan, Zhanglu, et al.
Published: (2025)

Physics-Guided Tiny-Mamba Transformer for Reliability-Aware Early Fault Warning
by: Li, Changyu, et al.
Published: (2026)

Residual Reweighted Conformal Prediction for Graph Neural Networks
by: Zhang, Zheng, et al.
Published: (2025)

Graph Diffusion Transformers for Multi-Conditional Molecular Generation
by: Liu, Gang, et al.
Published: (2024)