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• Time Series Supplier Allocation via Deep Black-Litterman Model

  Xinke Jiang, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Hao Chen, Haoyu Zhang, Dingyi Zhuang, Jiayuan Luo

  11870-11878

  2025-04-11

• Towards a Rigorous Evaluation of Time-Series Anomaly Detection

  Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon

  7194-7201

  2022-06-28

• CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series

  Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai

  11525-11533

  2024-03-24

• SVGL: Scale-Variable Graph Learning in Model Space for Multivariate Time Series Classification

  Shikang Liu, Ziyu Tang, Xiren Zhou, Huanhuan Chen

  23801-23809

  2026-03-14

• SA²VP: Spatially Aligned-and-Adapted Visual Prompt

  Wenjie Pei, Tongqi Xia, Fanglin Chen, Jinsong Li, Jiandong Tian, Guangming Lu

  4450-4458

  2024-03-24

• Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations

  Lukas Studer, Loic Paulevé, Christoph Zechner, Matthias Reumann, María Rodríguez Martínez, Heinz Koeppl

  2016-03-02

• Forecasting Collector Road Speeds Under High Percentage of Missing Data

  Xin Xin, Chunwei Lu, Yashen Wang, Heyan Huang

  2015-02-18

• Copyright-Certified Distillation Dataset: Distilling One Million Coins into One Bitcoin with Your Private Key

  Tengjun Liu, Ying Chen, Wanxuan Gu

  6458-6466

  2023-06-26

• FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions

  Boyang Zhang, Daning Cheng, Yunquan Zhang, Jiake Tian, Jing Li, Fangming Liu

  28168-28175

  2026-03-14

• Neural Oscillators for Generalization of Physics-Informed Machine Learning

  Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky, Hongrui Wang, Alfredo Nunez, Rolf Dollevoet

  13059-13067

  2024-03-24

• WaveFormer: Frequency-Time Decoupled Vision Modeling with Wave Equation

  Zishan Shu, Juntong Wu, Wei Yan, Xudong Liu, Hongyu Zhang, Chang Liu, Youdong Mao, Jie Chen

  25428-25436

  2026-03-14

• Detecting and Preventing Hallucinations in Large Vision Language Models

  Anisha Gunjal, Jihan Yin, Erhan Bas

  18135-18143

  2024-03-24

• Dynamic Clustering Convolutional Neural Network

  Tanzhe Li, Baochang Zhang, Jiayi Lyu, Xiawu Zheng, Guodong Guo, Taisong Jin

  18448-18456

  2025-04-11

• Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation

  Yanglin Huang, Kai Hu, Yuan Zhang, Zhineng Chen, Xieping Gao

  3824-3832

  2025-04-11

• Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference

  Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui

  16605-16613

  2024-03-24

• Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation

  Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang

  1306-1313

  2022-06-28

• Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition

  Shiming Ge, Kangkai Zhang, Haolin Liu, Yingying Hua, Shengwei Zhao, Xin Jin, Hao Wen

  10845-10852

  2020-04-03

• CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials

  Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly

  7323-7331

  2023-06-26

• TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training

  Chaoya Jiang, Wei Ye, Haiyang Xu, Qinghao Ye, Ming Yan, Ji Zhang, Shikun Zhang

  2489-2497

  2024-03-24

• STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization

  Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun

  4830-4837

  2021-05-18

• Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance

  Atsutoshi Kumagai, Tomoharu Iwata

  2017-02-13

• Online Semi-supervised Learning with Mix-Typed Streaming Features

  Di Wu, Shengda Zhuo, Yu Wang, Zhong Chen, Yi He

  4720-4728

  2023-06-26

• Cellular Network Traffic Scheduling With Deep Reinforcement Learning

  Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti

  2018-04-25

• Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks

  Yuhang Yao, Carlee Joe-Wong

  4608-4616

  2021-05-18

• A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs

  Sikun Yang, Hongyuan Zha

  16343-16351

  2024-03-24