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UTICA: Multi-Objective Self-Distllation Fondation Model Pretraining for Time Series Classification
Yessin Moakher, Youssef Attia El Hili, Vasilii Feofanov
- Published: 01 Mar 2026, Last Modified: 10 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
Non-Stationarity in the Embedding Space of Time Series Foundation Models
Jinmyeong Choi, Brad Shook, Artur Dubrawski
- Published: 01 Mar 2026, Last Modified: 04 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
Cached Foundation Model Summaries for Memory-Efficient Clinical Time Series Inference
Rafi Al Attrach, Rajna Fani, David Restrepo, Yugang jia, Leo Anthony Celi, Peter J. Schüffler
- Published: 01 Mar 2026, Last Modified: 08 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
Complementing Domain Labels with WaveEnergy Signatures for Time Series Heterogeneity
Seongbeom Park, Hyunwoo Seo, Yichen Ma, Hojin Cho, Chiehyeon Lim, Jianjun Shi
- Published: 01 Mar 2026, Last Modified: 10 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
State-Space Modeling in Natural Language
Nikita Mehandru, Marie-Laure Charpignon, Kaihua Hou, David Bamman, Ahmed Alaa
- Published: 01 Mar 2026, Last Modified: 06 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
Improving Conditional Coverage in Time-Series Foundation Models via Direct Volatility Modeling
Jason B. Cho, David S. Matteson
- Published: 01 Mar 2026, Last Modified: 02 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
Rethinking Multimodal Time-Series Forecasting Evaluation
Haoxin Liu, Yichen Zhou, Rajat Sen, B. Aditya Prakash, Abhimanyu Das
- Published: 01 Mar 2026, Last Modified: 09 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
Does Normalization Choice Matter for Causal Large Time-Series Models?
Samy-Melwan Vilhes, Gilles Gasso, Mokhtar Z. Alaya
- Published: 01 Mar 2026, Last Modified: 02 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
DynLMC: Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series
Annita Vapsi, Penghang Liu, Saheed Obitayo, Aakriti, Manoj Cherukumalli, Prathamesh Patil, Amit Varshney, Nicolas Marchesotti, Elizabeth Fons, Vamsi K. Potluru, Manuela Veloso
- Published: 01 Mar 2026, Last Modified: 06 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
TS-Haystack: A Multi-Scale Retrieval Benchmark for Time Series Language Models
Nicolas Zumarraga, Thomas Kaar, Ning Wang, Maxwell A Xu, Max Rosenblattl, Markus Kreft, Kevin O'Sullivan, Paul Schmiedmayer, Patrick Langer, Robert Jakob
- Published: 01 Mar 2026, Last Modified: 04 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
On the Role of Context in Zero-Shot Multivariate Time-Series Forecasting
Rohith Saai Pemmasani Prabakaran, Stijn Verdenius, Partha Das, Christian A. Naesseth
- Published: 01 Mar 2026, Last Modified: 11 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
From Noisy Neural Time Series to Structured Language: A Foundation Model for Imagined Speech Decoding from EEG signals
Sparsh Rastogi, Kanav Dhanda, Akshat Bakshi, Tanmay Kumar, Jatin Bedi
- Published: 01 Mar 2026, Last Modified: 10 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
The Geometry of Time-Series Diffusion: Why Latent Space Diffusion Works for Generation and Imputation
Afshin Asadi, Ramin Moghaddass
- Published: 01 Mar 2026, Last Modified: 10 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
TS-Arena: A Live Forecast Pre-Registration Platform for Leakage-Free Evaluation of Time Series Foundation Models
Marcel Meyer, Sascha Kaltenpoth, Henrik Albers, Kevin Zalipski, Oliver Mueller
- Published: 01 Mar 2026, Last Modified: 08 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
Tune-as-Inference: Amortized Configuration Learning for Time Series Foundation Models
Piyush Gupta, Doyen Sahoo, Manpreet Singh, Vikram Pudi
- Published: 01 Mar 2026, Last Modified: 09 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
The Arrow of Time: What Tabular Foundation Models Miss in Time Series Forecasting
Andres Potapczynski, Ravi Kiran Selvam, Tatiana Konstantinova, Malcolm Wolff, Kin G. Olivares, Ruijun Ma, Michael W. Mahoney, Andrew Gordon Wilson, Boris N. Oreshkin, Dmitry Efimov
- Published: 01 Mar 2026, Last Modified: 11 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
Multi-Agent Framework for Developing and Evaluating Biometric-based Multimodal Synthetic Personas: A Case Study on Pregnancy and Postpartum Users
Poojita Garg, Conor Heneghan, Katherine A Heller, Taedong Yun, Maja Mataric, Mercy Nyamewaa Asiedu
- Published: 01 Mar 2026, Last Modified: 11 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
APTGuard: An APT Detection Method Based on LLM and Time-Series Augmentation
Xinran Li, Zijun Dou
- Published: 01 Mar 2026, Last Modified: 11 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
Narrative of Time across Scales (NoTS)
Wenrui Ma, Ran Liu, Ellen L. Zippi, Christopher Michael Sandino, Juri Minxha, Behrooz Mahasseni, Erdrin Azemi, Ali Moin, Eva L Dyer
- Published: 01 Mar 2026, Last Modified: 10 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
Regimen-Aware Forecasting for Mechanistic Virtual Patients with Time-Series Foundation Models
Charlie George Barker, Ahmad Wisnu Mulyadi, Sanjana Balaji Kuttae, Ansh Kumar, Lilija Wehling, Thomas Rückle, Sommer Anjum, Anastasios Siokis, Hans-Christoph Schneider, Sven Jager, Thomas Klabunde, Tommaso Andreani, Gurdeep Singh
- Published: 01 Mar 2026, Last Modified: 10 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
Do We Need Domain-Specific Time-Series Models? Insights from EEG Classification Benchmarks
Liuyin Yang, Qiang Sun, Marc M. Van Hulle
- Published: 01 Mar 2026, Last Modified: 08 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
Large EEG Foundation Model Learns Informative Low-Frequency Representations from Intracranial Brain Signals
Qiang Sun, Liuyin Yang, Eva Calvo Merino, Marc M. Van Hulle
- Published: 01 Mar 2026, Last Modified: 25 Mar 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting
Shunyu Wu, Jiawei Huang, Weibin Feng, Boxin Li, Xiao Zhang, Erli Meng, Dan Li, Jian Lou, See-Kiong Ng
- Published: 01 Mar 2026, Last Modified: 28 Mar 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
Balanced Latent Semantics and Signal Fidelity for EEG representation learning
Van-Chien Nguyen, Trung-Hieu Tran, Tuan-Kiet Doan, Quang Hung Pham, Ngoc-Son Vu, Duc Han LE, Huy Phan, Phi Le Nguyen, Nikola Simidjievski, Samuel Tardieu, Van-Tam Nguyen
- Published: 01 Mar 2026, Last Modified: 07 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
LLM-Assisted Logic Rule Learning: Scaling Human Expertise for Time Series Anomaly Detection
Haoting Zhang, Shekhar Jain
- Published: 01 Mar 2026, Last Modified: 01 Apr 2026
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone

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