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References (39)

[1]
CaTS-Bench: Can Language Models Describe Time Series?
2025Luca Zhou, Pratham Yashwante et al.
[2]
From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
2025Fuying Wang, Jiacheng Xu et al.
[3]
Fine-grained Contrastive Learning for ECG-Report Alignment with Waveform Enhancement
2025Haitao Li, Che Liu et al.
[4]
Escaping Plato’s Cave: Towards the Alignment of 3D and Text Latent Spaces
2025Souhail Hadgi, Luca Moschella et al.
[5]
Understanding the Emergence of Multimodal Representation Alignment
2025Megan Tjandrasuwita, C. Ekbote et al.
[6]
The Double-Ellipsoid Geometry of CLIP
2024M. Levi, Guy Gilboa
[7]
ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis
2024Yubao Zhao, Jiaju Kang et al.
[8]
ReSi: A Comprehensive Benchmark for Representational Similarity Measures
2024Max Klabunde, Tassilo Wald et al.
[9]
The Platonic Representation Hypothesis
2024Minyoung Huh, Brian Cheung et al.
[10]
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
2024Che Liu, Zhongwei Wan et al.
[11]
MOMENT: A Family of Open Time-series Foundation Models
2024Mononito Goswami, Konrad Szafer et al.
[12]
Unified Training of Universal Time Series Forecasting Transformers
2024Gerald Woo, Chenghao Liu et al.
[13]
Improving Text Embeddings with Large Language Models
2023Liang Wang, Nan Yang et al.
[14]
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
2023Jack Urbanek, Florian Bordes et al.
[15]
A decoder-only foundation model for time-series forecasting
2023Abhimanyu Das, Weihao Kong et al.
[16]
ImageBind One Embedding Space to Bind Them All
2023Rohit Girdhar, Alaaeldin El-Nouby et al.
[17]
EVA-CLIP: Improved Training Techniques for CLIP at Scale
2023Quan Sun, Yuxin Fang et al.
[18]
Text Embeddings by Weakly-Supervised Contrastive Pre-training
2022Liang Wang, Nan Yang et al.
[19]
PointCLIP: Point Cloud Understanding by CLIP
2021Renrui Zhang, Ziyu Guo et al.
[20]
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
2021Hu Xu, Gargi Ghosh et al.

Showing 20 of 39 references

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"Exploring alignment in contrastive representation spaces across modalities including time series, vision, and language."

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