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Simon Roschmann

2 accepted papers

2026

Mantis: Lightweight Foundation Model for Time Series Classification

Vasilii Feofanov, Songkang Wen, Shifeng Xie, Simon Roschmann, Marius Alonso, Hongbo Guo +7
ICML 2026poster

While foundation models have revolutionized various domains, their application to time series classification remains rather under-explored, with existing literature predominantly focused on forecasting. To bridge this gap, we introduce \textbf{Mantis}, a transformer-based foundation model pre-traine…

Cited by 0Source ↗Scholar ↗
2026

SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport

Simon Roschmann, Paul KRZAKALA, Sonia Mazelet, Quentin Bouniot, Zeynep Akata
ICML 2026poster

The Platonic Representation Hypothesis posits that neural networks trained on different modalities converge toward a shared statistical model of the world. Recent work exploits this convergence by aligning frozen pretrained vision and language models with lightweight alignment layers, but typically …

Cited by 0Source ↗Scholar ↗