M2R2 proposes a multimodal robotic representation for temporal action segmentation that combines proprioceptive and exteroceptive sensors with a novel training strategy enabling feature reuse across models, achieving new state-of-the-art results on three robotic datasets.
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BUT's CHiME-9 MCoRec system conditions Parakeet-v2 ASR on AV-HuBERT visuals for 33.7% WER and uses Qwen3.5 LLM for hierarchical clustering to reach 0.97 F1, beating the baseline by 16.2% WER and 0.15 F1 on the development set.
A structured review organizes deep learning models for electricity price forecasting via a backbone-head-loss taxonomy and identifies gaps in intraday and balancing market applications.
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M2R2: MultiModal Robotic Representation for Temporal Action Segmentation
M2R2 proposes a multimodal robotic representation for temporal action segmentation that combines proprioceptive and exteroceptive sensors with a novel training strategy enabling feature reuse across models, achieving new state-of-the-art results on three robotic datasets.
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BUT System Description for CHiME-9 MCoRec Challenge
BUT's CHiME-9 MCoRec system conditions Parakeet-v2 ASR on AV-HuBERT visuals for 33.7% WER and uses Qwen3.5 LLM for hierarchical clustering to reach 0.97 F1, beating the baseline by 16.2% WER and 0.15 F1 on the development set.
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Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets
A structured review organizes deep learning models for electricity price forecasting via a backbone-head-loss taxonomy and identifies gaps in intraday and balancing market applications.