Long-Term Time Series Forecasting

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8 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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HAMON: Passive Optical Sequence Mixing for Long-Horizon Forecasting
Jun 15, 2026Alper YıldırımLong-Term Time Series Forecasting Time Series Forecasting
COGENT: Continuous Graph Emulators with Neural Ordinary Differential Equations for Long-Term Physical Forecasting
Jun 9, 2026Zesheng Liu, Maryam RahnemoonfarNeural Surrogate Modeling Long-Term Time Series Forecasting
Lehigh University · Bethlehem, Pennsylvania, USA
Adaptive Oscillatory-State Alignment for Time Series Forecasting
Jun 4, 2026Zhangyao Song, Chaofeng Qu, Chao Zha +3Long-Term Time Series Forecasting Time Series Forecasting
School of Cyber Science and Engineering, Southeast University, Nanjing, China · State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China · School of Information Science and Engineering, Southeast University, Nanjing, China
Expectations vs. Realities: The Cost of MSE-Optimal Forecasting Under Conditional Uncertainty
Jun 3, 2026Riku Green, Zahraa S. Abdallah, Telmo M Silva FilhoLong-Term Time Series Forecasting Time Series Forecasting
The University of Bristol Bristol, UK
Adaptive Patching Is Harder Than It Looks For Time-Series Forecasting
Jun 2, 2026Federico Zucchi, Yi Xie, Chao Zhang +3Long-Term Time Series Forecasting Time Series Forecasting
ICube, University of Strasbourg, Illkirch-Graffenstaden, France · Cephalgo, Strasbourg, France · Technical University of Munich +3
FreqLite: A Lightweight Frequency-Decomposed Linear Model with Adaptive Reversible Normalization for Robust Long-Term Time-Series Forecasting
May 31, 2026Mirza Samad Ahmed Baig, Syeda Anshrah GillaniLong-Term Time Series Forecasting Frequency-Domain Feature Learning
Fandaqah, Al Khobar, Saudi Arabia · Hamdard University, Karachi, Pakistan
Response-Aware Multimodal Learning for Post-Treatment Visual Acuity Forecasting
May 30, 2026Phuoc-Nguyen Bui, Van-Vi Vo, Duc-Tai Le +5Long-Term Time Series Forecasting Clinical Outcome Prediction
Research Convergence Institute, Sungkyunkwan University, Korea · Dept. of AI Systems Engineering, Sungkyunkwan University, Korea · College of Computing and Informatics, Sungkyunkwan University, Korea +2
Generalizing Multi-Scale Time-Series Modeling with a Single Operator
May 29, 2026Cheonwoo Lee, Dooho Lee, Doyun Choi +1Long-Term Time Series Forecasting Time Series Forecasting
School of Electrical Engineering, KAIST, Daejeon, Republic of Korea · Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea
Kalimati Vegetable Price Index Forecasting with a Momentum Corrected Online Stacking Ensemble
May 29, 2026Sahaj Raj MallaLong-Term Time Series Forecasting Time Series Forecasting
Department of Mathematics, Kathmandu University, Dhulikhel, Nepal
From Short Histories to Long Futures: Horizon-Aware Graph Neural Networks for Long Horizon Forecasting
May 28, 2026Zesheng Liu, Maryam RahnemoonfarNeural Surrogate Modeling Long-Term Time Series Forecasting
Department of Computer Science and Engineering, Lehigh University, Bethlehem PA 18015, USA · Department of Civil and Environmental Engineering, Lehigh University, Bethlehem2026 PA 18015, USA
Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations
May 25, 2026Eduardo Luiz Alba, Gilson Adamczuk Oliveira, Matheus Henrique Dal Molin Ribeiro +1Multivariate Time Series Forecasting Long-Term Time Series Forecasting
Industrial & Systems Engineering Graduate Program (PPGEPS), Federal University of Technology-Parana (UTFPR), Via do Conhecimento, KM 0l—Fraron, Pato Branco 85503-390, PR, Brazil
A comparative study of accuracy and rollout stability of temporal surrogate models
May 24, 2026Rajarshi BiswasNeural Surrogate Modeling Long-Term Time Series Forecasting
Cargill Inc. Wayzata, MN 55391, USA
PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogramming and Normalizing Flows
May 22, 2026Minju Kim, Youngbum HurLong-Term Time Series Forecasting LLM-Based Time Series Forecasting
Department of Industrial Engineering, Inha University, Incheon, Republic of Korea
Reviving Error Correction in Modern Deep Time-Series Forecasting
May 20, 2026Minh Hoang Nguyen, Dai Do, Huu Hiep Nguyen +3Long-Term Time Series Forecasting Time Series Forecasting
Deakin Applied AI Initiative, Deakin University, Australia.
Latent Laplace Diffusion for Irregular Multivariate Time Series
May 19, 2026Zinuo You, Jin Zheng, John CartlidgeIrregular Time-Series Modeling Multivariate Time Series Forecasting
School of Computer Science, University of Bristol · School of Engineering Mathematics and Technology, University of Bristol
Long-horizon prediction of three-dimensional wall-bounded turbulence with CTA-Swin-UNet and resolvent analysis
May 18, 2026Bo Chen, Yitong Fan, Jie Yao +1Long-Term Time Series Forecasting Hybrid CNN-Transformer Architectures
School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China · School of Interdisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
PhysioSeq2Seq: A Hybrid Physiological Digital Twin and Sequence-to-Sequence LSTM for Long-Horizon Glucose Forecasting in Type 1 Diabetes
May 16, 2026Phat Tran, Neville Mehta, Clara Mosquera-Lopez +3Long-Term Time Series Forecasting Type 1 Diabetes
Oregon State University · Oregon Health & Science University
FRWKV+: Periodic-Aware Adaptive Gating for Frequency-Space Linear Time Series Forecasting
May 15, 2026Qingyuan Yang, Dongyue Chen, Da Teng +3Multivariate Time Series Forecasting Long-Term Time Series Forecasting
College of Information Science and Engineering, Northeastern University, Shenyang, 110819, Liaoning, China · Foshan Graduate School of Innovation, Northeastern University, Foshan, 528311, Guangdong, China · Northeastern University, Shenyang, 110819, Liaoning, China
PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting
May 15, 2026Hua Wang, Xianhao Jiao, Fan ZhangMultivariate Time Series Forecasting Long-Term Time Series Forecasting
School of Computer and Artificial Intelligence, Ludong University, Yantai, Shandong 264025, China · School of Computer and Artificial Intelligence, Ludong University, Yantai, Shandong 264025, China. · School of Computer Science and Technology, Shandong Technology and Business University, Yantai, Shandong 264005, China +1
Three-Stage Learning Unlocks Strong Performance in Simple Models for Long-Term Time Series Forecasting
May 13, 2026Zhenan Yu, Guangxin Jiang, Jin YangMultivariate Time Series Forecasting Long-Term Time Series Forecasting
1Harbin Institute of Technology
U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation
May 12, 2026Yichen Zhang, Jun LiLong-Term Time Series Forecasting Time Series Imputation
School of Information Science and Engineering, Southeast University, Nanjing, 210096, CHINA.
Dimensional Balance Improves Large Scale Spatiotemporal Prediction Performance
May 11, 2026Jing Chen, Shixiang Pan, Yujie Fan +3Long-Term Time Series Forecasting Spatiotemporal Forecasting
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China · Key Laboratory of New Industrial Internet Control Technology, Hangzhou, 310018, China · College of Economics, China Jiliang University, Hangzhou, 314423, China
PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting
May 9, 2026Hao Wu, Fan Xu, Yuxu Lu +9Long-Term Time Series Forecasting Climate Modeling
Tsinghua University · Tencent · Shenzhen Loop Area Institute +6
Neural-Actuarial Longevity Forecasting: Anchoring LSTMs for Explainable Risk Management
May 7, 2026Davide RindoriLong-Term Time Series Forecasting AI Risk Management
SAV Actuarial Candidate, ETH Zürich · PhD in Physics, University of Florence (2021)
MSMixer: Learned Multi-Scale Temporal Mixing with Complementary Linear Shortcut for Long-Term Time Series Forecasting
May 4, 2026Ahmed CherifLong-Term Time Series Forecasting Multilayer Perceptrons
Independent Researcher, Tunis, Tunisia
Forecasting Source Stability in Scientific Experiments using Temporal Learning Models: A Case Study from Tritium Monitoring
May 2, 2026Nicholas Tan Jerome, Nadia Aouadi, Christoph Koehler +2Event Time Prediction Long-Term Time Series Forecasting
Institute for Data Processing and Electronics, Karlsruhe Institute of Technology, Germany · Schmalkalden University of Applied Sciences, Schmalkalden, Germany · Technical University Munich, Garching, Germany +1
DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting
Apr 27, 2026Naveen MysoreLong-Term Time Series Forecasting Explainable Time Series Forecasting
AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting
Apr 25, 2026Xudong Jiang, Mingshan Loo, Hanchen Yang +5Multivariate Time Series Forecasting Long-Term Time Series Forecasting
Tongji University Shanghai, China · Fudan University Shanghai, China
CLVAE: A Variational Autoencoder for Long-Term Customer Revenue Forecasting
Apr 24, 2026Jeffrey Näf, Riana Valera Mbelson, Markus MeiererIrregular Time-Series Modeling Variational Autoencoders
Research Institute for Statistics and Information Science, University of Geneva · Institute of Management, University of Geneva
GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba
Apr 18, 2026Dongyi He, Yuanquan Gao, Bin Jiang +1Long-Term Time Series Forecasting Intelligent Transportation Systems
School of Artificial Intelligence, Chongqing University of Technology, Chongqing, 400054, China

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HAMON: Passive Optical Sequence Mixing for Long-Horizon Forecasting

Alper Yıldırım

Long-Term Time Series Forecasting Time Series Forecasting Photonic Computing

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Simple linear and frequency-domain models remain surprisingly competitive in long-horizon time-series forecasting, and recent mechanistic evidence suggests that standard forecasting benchmarks may not require the dense superposed representations that make transformers powerful in other domains. This raises a substrate-level question: if the core forecasting operator is often low-complexity and approximately linear, does it need to be implemented as learned digital temporal mixing? We introduce HAMON, a passive diffractive optical forecasting core in which historical values are encoded onto an optical aperture, future positions are left dark, and cascaded trainable phase masks with free-space diffraction shape the forecast directly in the output field. At inference, prediction is performed by a single passive optical propagation pass with no trainable digital sequence-mixing layer. Across standard benchmarks, HAMON outperforms the strongest digital baselines considered on ETTm2 at all horizons and on ETTh2 at all but the longest horizon, improving MSE by up to 14% and doing so consistently across horizons rather than at isolated points. It is competitive on Weather and trails the strongest baselines on the remaining ETT settings and on the high-channel-count Traffic and Electricity datasets. Phase encoding, intensity-compatible readout, and phase-scrambling ablations, together with a TorchOptics cross-simulator check, indicate that the forecasts arise from the data-bearing optical field rather than from a digital forecasting head. Because the passive core uses standard Fourier optics, HAMON defines a concrete target for optical hardware and for passive physical sequence mixing.

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