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• Selective Uncertainty Propagation in Offline RL

  Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Shrey Modi, Anshuka Rangi

  17974-17982

  2025-04-11

• Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows

  Liam Anthony Kruse, Alexandros Tzikas, Harrison Delecki, Mansur Arief, Mykel J. Kochenderfer

  17983-17989

  2025-04-11

• Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks

  Lorenz Kummer, Samir Moustafa, Wilfried Gansterer, Nils Morten Kriege

  17990-17998

  2025-04-11

• pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning

  Jiahao Lai, Jiaqi Li, Jian Xu, Yanru Wu, Boshi Tang, Siqi Chen, Yongfeng Huang, Wenbo Ding, Yang Li

  17999-18007

  2025-04-11

• Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off

  Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng

  18008-18016

  2025-04-11

• CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization

  Yuanhao Lai, Pengfei Zheng, Chenpeng Ji, Cheng Qiu, Tingkai Wang, Songhan Zhang, Zhengang Wang, Yunfei Du

  18017-18025

  2025-04-11

• De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem

  Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, Cheng Li

  18026-18034

  2025-04-11

• Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning

  Jian Lang, Zhangtao Cheng, Ting Zhong, Fan Zhou

  18035-18043

  2025-04-11

• Explainable Neural Networks with Guarantee: A Sparse Estimation Approach

  Antoine Ledent, Peng Liu

  18044-18052

  2025-04-11

• Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP

  Anton Lee, Heitor Murilo Gomes, Yaqian Zhang, W. Bastiaan Kleijn

  18053-18061

  2025-04-11

• Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control

  Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang, James Anderson, Nikolai Matni

  18062-18070

  2025-04-11

• Truncated Gaussian Policy for Debiased Continuous Control

  Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang

  18071-18081

  2025-04-11

• TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents

  Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen

  18082-18090

  2025-04-11

• RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy

  Geonho Lee, Janghwan Lee, Sukjin Hong, Minsoo Kim, Euijai Ahn, Du-Seong Chang, Jungwook Choi

  18091-18100

  2025-04-11

• HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation

  Giwoong Lee, Jiseung Ahn, Jeongyeol Choe

  18101-18109

  2025-04-11

• Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning

  Jeong Woon Lee, Hyoseok Hwang

  18110-18118

  2025-04-11

• DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization

  Jin-Seop Lee, Noo-ri Kim, Jee-Hyong Lee

  18119-18127

  2025-04-11

• DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation

  Junghun Lee, Hyunju Kim, Fanchen Bu, Jihoon Ko, Kijung Shin

  18128-18136

  2025-04-11

• Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms

  Junyong Lee, Jeihee Cho, Shiho Kim

  18137-18144

  2025-04-11

• CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data Synthesizing

  Seungcheol Lee, Moohong Min

  18145-18153

  2025-04-11

• Maximizing the Position Embedding for Vision Transformers with Global Average Pooling

  Wonjun Lee, Bumsub Ham, Suhyun Kim

  18154-18162

  2025-04-11

• Learning Strategy Representation for Imitation Learning in Multi-Agent Games

  Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park

  18163-18171

  2025-04-11

• MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning

  Xing Lei, Xuetao Zhang, Donglin Wang

  18172-18180

  2025-04-11

• Mining In-distribution Attributes in Outliers for Out-of-distribution Detection

  Yutian Lei, Luping Ji, Pei Liu

  18181-18188

  2025-04-11

• Real-Time Recurrent Reinforcement Learning

  Julian Lemmel, Radu Grosu

  18189-18197

  2025-04-11