Forecasting Backbone

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6 papers in the last four weeks, level with the four weeks before. 0.1% of all new papers.

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  1. Q-DEQ: Discrete Solving and Quantization for Deep Equilibrium Models in Time Series Forecasting under Edge Deployment Coding Constraints

    Sep 21, 2026Ruotong Yang, Hongdong Zhu, Qi Gao +3Forecasting BackboneTime Series Forecasting

  2. CoRe: Coherence and Relational Alignment for Multivariate Time Series Forecasting

    Sep 17, 2026Xiaoyu Lin, Huiran Duan, Yining Liu +3Multivariate Time Series ForecastingForecasting Backbone

    College of Computer and Information Technology, China Three Gorges University, China · City University of New York, USA · University of California, Berkeley, USA +1

  3. IRENE: A Convolutional GRU Ensemble Model for Radar Precipitation Nowcasting over Italy

    Sep 15, 2026Alessandro Camilletti, Gabriele Franch, Elena Tomasi +1Precipitation NowcastingForecasting Backbone

    Fondazione Bruno Kessler

  4. Distributed JEPA: A Self-Supervised Framework for Energy Forecasting

    Sep 15, 2026Liana Toderean, Tudor Cioara, Vasilis Michalakopoulos +3Energy ForecastingJoint-Embedding Predictive Architectures

    Distributed Systems Research Laboratory, Computer Science Department, Technical University of Cluj-Napoca, G. Barițiu 26-28, 400027 Cluj-Napoca, Romania · Decision Support Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, Ir. Politechniou 9, 157 73 Athens, Greece

  5. Parameter-Efficient Adaptation of Pretrained Language Models for Time-Series Forecasting

    Sep 14, 2026Tamanna Kumavat, Georg Brunner, Kyriakos FlourisForecasting BackboneTime Series Forecasting

    University of Zurich, Switzerland · Computer Vision Laboratory, ETH Zurich, Switzerland · MRC Biostatistics Unit, University of Cambridge, United Kingdom

  6. Seasonality-Aware Hybrid Convolutional Transformer for Antarctic Sea Ice Concentration Forecasting

    Aug 31, 2026Danyang Li, John Taylor, Thang Bui +1Forecasting BackboneHybrid Transformer

    School of Computer Science, Australian National University, Canberra, ACT 2601, Australia · Yau Mathematical Sciences Center, Tsinghua University, Beijing, China

  7. Jointly Predicting Courses and Grades Using a Transformer-Based Model

    Aug 13, 2026Paul SavalaForecasting BackboneSequence Modeling

    Mathematics, St. Edward’s University, 3001 S Congress Ave, Austin, 78704, TX, USA. · S Congress Ave

  8. Virtual Temperature Sensors in Power Transformers Using Neural Ordinary Differential Equations

    Aug 13, 2026Berk Hadzhamolla, Alexander Johannes Stasik, Signe Riemer-SørensenEnergy-Based TransformerNeural Ordinary Differential Equations

    University of Oslo, Oslo, 0316, Norway · 2,3 SINTEF AS, Department of Mathematics and Cybernetics, Oslo, Norway · Department of Data Science, Norwegian University of Life Sciences, ˚As, Norway

  9. XGBoost "is all you need": the case of forecasting transmitted heat energy in District Heating Systems

    Aug 11, 2026Milan ZdravkovićElectricity Price ForecastingBattery Energy Storage Systems

    Faculty of Mechanical Engineering University of Niš ul. Aleksandra Medvedeva 14, 18000 Niš, Serbia

  10. QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting

    Aug 7, 2026Junkai Lin, Siqi Hou, Raymond LeeForecasting BackboneVolatility

    Faculty of Science and Technology, Beijing Normal-Hong Kong Baptist University, Zhuhai, China · Guangdong Provincial Key Lab of Interdisciplinary Research and Application for Data Science (BNBU), Zhuhai, China

  11. Timestep-Conditioned Transformers for Global Weather Forecasting

    Aug 6, 2026Sam Levang, Fran Bartolic, Ty Dickinson +3Weather PredictionForecasting Backbone

    Salient

  12. Multivariate Time Series Forecasting needs Cross Variable Loss

    Aug 6, 2026Kuiye Ding, Yifan Hu, Hanchen Wang +1Multivariate Time Series ForecastingForecasting Backbone

    University of Technology Sydney · Tsinghua University · The Hong Kong University of Science and Technology (Guangzhou)

  13. TREA-Net: A Transferable Residual Epidemiological Adaptation Network for Dengue Incidence Forecasting

    Jul 29, 2026Inesh Shukla, Madhurima Panja, Tanujit Chakraborty +1Forecasting Backbone

    International Institute of Information Technology Hyderabad, India · SAFIR, Sorbonne University Abu Dhabi, United Arab Emirates · Sorbonne Center for Artificial Intelligence, Sorbonne Universit´e, Paris, France

  14. A Controlled Visual-Backbone Benchmark for Multimodal Short-Term Solar Irradiance Forecasting

    Jul 26, 2026Oshadha Samarakoon, Dushan Herath, Ishara Ranmandala +4Energy ForecastingSolar Irradiance

    Dept. of EEE, University of Peradeniya · Peradeniya, Sri Lanka · MARC, University of Peradeniya

  15. Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting

    Jul 23, 2026Ferdinand Bhavsar, Lionel Benoit, Maxime Savatier +1Probabilistic Basin-Scale Runoff LstmsForecasting Backbone

    INRAE · Biostatistics and Spatial Processes (BioSP), INRAE, Avignon 84914, France · ANDRA +1

  16. Black-Mamba: Biologically-Inspired Leaky Accumulation for Conceptual Knowledge under Distribution Drift

    Jul 21, 2026Giuseppe Soriano, Nicola Tonellotto, Alberto GottaStable Test-Time AdaptationNon-Stationarity

    University of Pisa National Research Council (CNR) Pisa, Italy · University of Pisa Pisa, Italy · National Research Council (CNR) Pisa, Italy

  17. A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methods

    Jul 17, 2026Matthias Hertel, Sebastian Pütz, Jonathan Kolar +3Accurate Short-Term Electricity Load ForecastingForecasting Backbone

    Karlsruhe Institute of Technology, Germany · Helmholtz AI, Germany

  18. Extreme Adaptive Transformer for Time Series Forecasting

    Jul 2, 2026Sanjeev Shrestha, Hui Liu, Yifan ZhangForecasting BackboneTime Series Forecasting

    Department of Computer Science, Missouri State University

  19. Heads, Not Backbones: Output Heads Dominate Architectures on Fat-Tailed Returns

    Jun 29, 2026Sichao He, Yansong ZhangLong-Tailed DistributionVolatility

    Peking University · Academy for Advanced Interdisciplinary Studies · Beijing, China +2

  20. Adaptive Financial Transformer with Regime-Gated Attention for Stock Return Prediction

    Jun 28, 2026Dishan SarkarForecasting BackboneTransformer Architectures

    Department of Artificial Intelligence and Machine Learning Birla Institute of Technology, Mesra Ranchi, India

  21. TopoCast: A Topological Fidelity Framework for Evaluating Transformer-Based Time Series Forecasting

    Jun 24, 2026Sandeepa Weerasekara, Sandareka WickramanayakeForecasting BackboneTime Series Forecasting

    Department of Computer Science and Engineering, University of Moratuwa, Katubedda, Moratuwa, 10400, Sri Lanka.

  22. Lightweight PCGAE-Net: Parallel CrossGate Attention and Bottleneck AutoEncoder for Efficient 5G Channel Prediction

    Jun 24, 2026Uma Kishore Godavarti, K. Giridhar, Vanani Prince Dharmendrabhai +2Channel State InformationMultiple-Input Multiple-Output

    Network Modem Team, Samsung R&D India Bangalore · Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India

  23. LSTM Variants for Chaotic Dynamical Systems: An Empirical Study on the Lorenz Attractor

    Jun 21, 2026Ruslan GokhmanCnn-LstmChaos

    Yeshiva University

  24. Short-Term Electricity Demand Forecasting for New England Using a Hybrid Transformer-XGBoost Framework with Weather, Calendar, and COVID-19 Indicators

    Jun 18, 2026Reza Ghanavati, Behrooz MosallaeiAccurate Short-Term Electricity Load ForecastingForecasting Backbone

    Department of Chemical and Materials Engineering, New Mexico State University · Department of Electrical and Communications Engineering, New Jersey Institute of Technology

  25. Kolmogorov-Arnold Reservoir Computing

    Jun 18, 2026Juntian Huang, Jürgen Kurths, Ying TangReservoir ComputingKolmogorov-Arnold Networks

    Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China · School of Physics, University of Electronic Science and Technology of China, Chengdu 611731, China · Key Laboratory of Quantum Physics and Photonic Quantum Information, Ministry of Education, University of Electronic Science and Technology of China, Chengdu 611731, China +4

  26. ConTex: Reformulating Counterfactual Generation For Time Series Forecasting

    Jun 16, 2026Jan Voets, Hasan Tercan, Tobias Meisen +1Counterfactual GenerationForecasting Backbone

    Institute for Technologies and Management of Digital Transformation University of Wuppertal

  27. Delta-Based Target Reformulation for Short-Term Electricity Load Forecasting Using LSTM and Transformer Models

    Jun 16, 2026Vansh BansalAccurate Short-Term Electricity Load ForecastingForecasting Backbone

  28. Robust Transformer-Based One-Step Stock Index Forecasting via Shifted Data Augmentation

    Jun 14, 2026Tien Thanh ThachForecasting BackboneData Augmentation

    Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam

  29. A Comparative Study of Deep Learning Architectures for Multi-Horizon Behavioural Forecasting for Mobile Health

    Jun 12, 2026Pavlos Nicolaou, Kleanthis Malialis, Artemis Kontou +1Forecasting BackboneShort-Horizon Forecasting

    KIOS Research and Innovation Center of Excellence · Department of Computer Science University of Cyprus, Nicosia, Cyprus

  30. One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data

    Jun 9, 2026Amrijit Biswas, Mustafa Kamal, Robin Krambroeckers +4Forecasting BackboneSpatio-Temporal Transformers

    Artificial Intelligence Department, RobotBulls Labs Geneva, Switzerland · Department of Electrical and Computer Engineering, North South University Dhaka, Bangladesh

  31. Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum

    Jun 8, 2026Abd Elghani Meliani, Arora Sagar, Adlen Ksentini +1Edge PlatformsForecasting Backbone

    Eurecom Campus SophiaTech, Biot, France · OpenAirInterface Campus SophiaTech, Biot, France

  32. GenAutoML: An Agentic Framework for Dynamic Architecture Generation and Optimization in Time-Series Analysis

    Jun 4, 2026Oleeviya Babu Poikarayil, Cédric Schockaert, Abdulrahman Nahhas +3Forecasting BackboneTime Series Forecasting

    Paul Wurth S.A., Luxembourg · Otto-von-Guericke University, Magdeburg, Germany · Technical University of Munich, Germany

  33. Evidence-Guided Neural Architecture Selection under Uncertainty for Subject-Specific Blood Glucose Forecasting

    Jun 3, 2026Md Azharul Islam, Dwyer Deighan, Tarunraj Singha +1Continuous Glucose MonitoringForecasting Backbone

    Department of Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY, USA · Computational and Data-Enabled Sciences, University at Buffalo, Buffalo, NY, USA · University at Buffalo, Buffalo, NY, USA

  34. Adaptive Patching Is Harder Than It Looks For Time-Series Forecasting

    Jun 2, 2026Federico Zucchi, Yi Xie, Chao Zhang +3Forecasting BackboneTime Series Forecasting

    ICube, University of Strasbourg, Illkirch-Graffenstaden, France · Cephalgo, Strasbourg, France · Technical University of Munich +3

  35. Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures

    Jun 1, 2026Waleed Esmail, Stuart Russell, Jana Klinge +2Full Waveform InversionForecasting Backbone

    Institut für Kernphysik, Universität Münster, Wilhelm-Klemm-Straße 9, 48149, Münster · Institut für Geophysik, Universität Münster, Corrensstraße 24, 48149, Münster · James Cook University, 1 James Cook Drive, Douglas, Queensland, 4814, Australia +1

  36. Evaluating Transformer and LSTM Frameworks for Prediction in Ungauged Basins

    Jun 1, 2026Taye Akinrele, James Halgren, Noorbakhsh Amiri Golilarz +2Forecasting BackboneSen1Floods11

    Dept. of Computer Science, The University of Alabama, Tuscaloosa, USA · Alabama Water Institute, USA

  37. Bridging the Last Mile of Time Series Forecasting with LLM Agents

    Jun 1, 2026Yuhua Liao, Zetian Wang, Qiangqiang Nie +1Retrieval-Augmented ForecastingTime Series Forecasting

    Trip.com Group, Shanghai, China

  38. Bridging the Gap Between Natural Language and Market Dynamics via High-Dimensional Representation Learning

    May 28, 2026Yujin Jeong, Noelle Jung, Brian Y. C. LeungForecasting BackboneRepresentation Learning

    Mike

  39. Uncertainty-Aware Transfer Learning for Cross-Building Energy Forecasting: Toward Robust and Scalable District-Level Energy Management

    May 28, 2026Shadmehr Zaregarizi, Khashayar YavariElectricity Price ForecastingEnergy Forecasting

    Politecnico di Torino · Turin, Italy

  40. BatteryMFormer: Multi-level Learning for Battery Degradation Trajectory Forecasting

    May 26, 2026Ruifeng Tan, Jintao Dong, Weixiang Hong +3Lithium-Ion BatteriesForecasting Backbone

    School of Computer Science and Engineering, Central South University · Material Genome Institute, Shanghai University

  41. TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting

    May 21, 2026Quang Duc Nguyen, Siyuan Liang, Yiming Li +2Forecasting BackboneEntanglement

    College of Computing and Data Science, Nanyang Technological University, Singapore.

  42. Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting

    May 19, 2026Liu Chong, Yingjie Zhou, Hao Li +3Forecasting BackboneExtrapolation

    College of Computer Science, Sichuan University · Computer and Information Science, University of Macau · Squirrel Ai +1

  43. Sequential Structure in Intraday Futures Data: LSTM vs Gradient Boosting on MNQ

    May 18, 2026Mathias MesfinCnn-LstmForecasting Backbone

    Independent Researcher

  44. Beyond Linear Superposition: Discovering Climate Features in AI Weather Models with KAN-SAE

    May 17, 2026Minjong CheonSparse Autoencoder FeaturesArtificial Intelligence Weather Models

    Department of Computer Science and Engineering Sejong University

  45. A Generative AI Framework for Intelligent Utility Billing CO 2 Analytics and Sustainable Resource Optimisation

    May 15, 2026Pavan Manjunath, Thomas PrueferArtificial Intelligence LifecycleGenerative Artificial Intelligence

    Independent Research, India · Independent Research, Germany

  46. From Index to Equity: Pre-Training Transformers for Stock Return Prediction

    May 12, 2026Marie Soehl Coolsaet, Roberto Gallardo, Zhen GaoForecasting BackboneTransformer Architectures

    Faculty of Engineering, McMaster University · Department* of Economics, Universidad Veracruzana, Mexico

  47. HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series

    May 11, 2026Jonas Petersen, Gian-Alessandro Lombardi, Riccardo Maggioni +3Forecasting BackboneMultivariate Time-Series

    1ETH Zurich · 2Forgis · University of Vienna

  48. Benchmarking Sensor-Fault Robustness in Forecasting

    May 11, 2026Alexander Windmann, Philipp Wittenberg, Gianluca Manca +3Forecasting BackboneFault Diagnosis

    1Helmut Schmidt University · 2Ruhr University Bochum · 3ABB Corporate Research +2

  49. Benchmarking Transformer and xLSTM for Time-Series Forecasting of Heat Consumption

    May 10, 2026Marja Wahl, Daniel R. Bayer, Sven Rausch +1Forecasting BackboneTime Series Forecasting

    RAUSCH Technology GmbH, Würzburg, Germany · Modeling and Simulation, University of Würzburg, Würzburg, Germany

  50. Superposition Is Not Necessary: A Mechanistic Interpretability Analysis of Transformer Representations for Time Series Forecasting

    May 6, 2026Alper YıldırımForecasting BackboneTime Series Forecasting

  51. PINN-Cast: Exploring the Role of Continuous-Depth NODE in Transformers and Physics Informed Loss as Soft Physical Constraints in Short-term Weather Forecasting

    Apr 30, 2026Hira Saleem, Flora Salim, Cormac PurcellNumerical Weather PredictionParametric Physics-Informed Neural Network

    University of New South Wales, Sydney, NSW, Australia

  52. Fewer yet critical: Reducing Redundant Token Dependencies for Transformer-based Time Series Forecasting

    Mar 10, 2025Jianqi Zhang, Yuchan Liu, Zeen Song +2Forecasting BackboneTransformer Architectures

    National Key Laboratory of Space Integrated Information Systems, Institute of Software, Chinese Academy of Sciences, Beijing, China 1 · University of Chinese Academy of Sciences, Beijing, China 2 · Digital-Intelligent Operations Center, Guizhou Power Grid Co., Ltd., Guizhou, China 3 +1