NeurIPS 2024 Workshop TSALM Submissions

MEDS-torch: An ML Pipeline for Inductive Experiments for EHR Medical Foundation Models
Nassim Oufattole, Teya Bergamaschi, Pawel Renc, Aleksia Kolo, Matthew B.A. McDermott, Collin Stultz
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models
David Bergström, Mattias Tiger, Fredrik Heintz
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
When Larger Isn’t Better: Lightweight CNNs Outperform Large Time-Series Models in Classification of Oil and Gas Drilling Data
abdallah benzine, J.S. Buiting, Soumyadipta Sengupta, Badal Gupta, Youssef Tamaazousti
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Towards Large-scale Clinical Multi-variate Time-series Datasets
Manuel Burger, Fedor Sergeev, Malte Londschien, Daphné Chopard, Hugo Yèche, Eike Christian Gerdes, Polina Leshetkina, Alexander Morgenroth, Zeynep Babür, Jasmina Bogojeska, Martin Faltys, Rita Kuznetsova, Gunnar Ratsch
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Stochastic Sparse Sampling: A Framework for Local Explainability in Variable-Length Medical Time Series
Xavier Mootoo, Alan Arnoldo Diaz Montiel, Milad Lankarany, Hina Tabassum
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Critical Evaluation of Time Series Foundation Models in Demand Forecasting
Santosh Kumar Puvvada, Satyajit Chaudhuri
- Published: 10 Oct 2024, Last Modified: 29 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption
Shourya Bose, Yijiang Li, Amy Van Sant, Yu Zhang, Kibaek Kim
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Scaling-laws for Large Time-series Models
JUSTIN ALSING, Thomas Edwards, Benjamin Dan Wandelt, James Alvey, Nam H Nguyen
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop Oral
- Readers: Everyone
The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features
Shi Bin Hoo, Samuel Müller, David Salinas, Frank Hutter
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Towards Time-Series Reasoning with LLMs
Winnie Chow, Lauren E. Gardiner, Haraldur T Hallgrimsson, Maxwell A Xu, Shirley You Ren
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop Oral
- Readers: Everyone
PaPaGei: Open Foundation Models for Optical Physiological Signals
Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop Oral
- Readers: Everyone
Towards Unbiased Evaluation of Time-series Anomaly Detector
Debarpan Bhattacharya, Sumanta Mukherjee, Chandramouli Kamanchi, Vijay Ekambaram, Arindam Jati, Pankaj Dayama
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Joint Embedding go Temporal
Sofiane ENNADIR, Siavash Golkar, Leopoldo Sarra
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
GIFT-Eval: A Benchmark for General Time Series Forecasting Model Evaluation
Taha Aksu, Gerald Woo, Juncheng Liu, Xu Liu, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models
Sathya Kamesh Bhethanabhotla, Omar Swelam, Julien Siems, David Salinas, Frank Hutter
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop Spotlight
- Readers: Everyone
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
General-Purpose Brain Foundation Models for Time-Series Neuroimaging Data
Mohammad Javad Darvishi Bayazi, Hena Ghonia, Roland Riachi, Bruno Aristimunha, Arian Khorasani, Md Rifat Arefin, Amin Darabi, Guillaume Dumas, Irina Rish
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Test-Time Learning For Time Series Forecasting
Panayiotis Christou, Shichu Chen, Xupeng Chen, Parijat Dube
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Unveiling the Potential of Text in High-Dimensional Time Series Forecasting
Xin Zhou, Weiqing Wang, SHILIN QU, Zhiqiang Zhang, Christoph Bergmeir
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Benchmarking out-of-the-box forecasters of varying scales in biology
Anthony E Culos, Mohammed AlQuraishi
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop Spotlight
- Readers: Everyone
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop Spotlight
- Readers: Everyone
Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data
Abhilash Neog, Arka Daw, Sepideh Fatemi Khorasgani, Anuj Karpatne
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Generalized Prompt Tuning: How to Use a Frozen Pre-Trained Univariate Time Series Foundation Model for Multivariate Time Series Prediction
Mingzhu Liu, Angela Chen, George H. Chen
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models
Divij Gupta, Anubhav Bhatti, Surajsinh Parmar
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Mixture of Experts for Time Series Foundation Models
Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo
- Published: 10 Oct 2024, Last Modified: 26 Nov 2024
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone