Marius Alonso — accepted AI-conference 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…

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2026

Optimal Self-Consistency for Efficient Reasoning with Large Language Models

Austin Feng, Marius Alonso, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko

ICML 2026poster

Self-consistency (SC) is a widely-used test-time inference technique for improving performance in chain-of-thought reasoning. It consists of generating multiple responses, or ``samples," from a large language model (LLM) and selecting the most frequent answer. This procedure can naturally be viewed …

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