DECKER improves cross-keyboard and cross-user keystroke identification from audio using domain-invariant embeddings on the new diverse HEAR dataset, with additional gains from language model sequence correction.
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TCD-Arena is a new customizable testing framework that runs millions of experiments to map how 33 different assumption violations affect time series causal discovery methods and shows ensembles can boost overall robustness.
PhysioLite delivers Transformer-comparable ECG/EMG performance using learnable wavelet filters and hardware-aware design at ~370KB quantized size on μNPUs.
Transolver learns intrinsic physical states from discretized meshes by adaptively splitting domains into flexible learnable slices and computing attention over physics-aware tokens, achieving state-of-the-art PDE solving on general geometries.
citing papers explorer
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DECKER: Domain-invariant Embedding for Cross-Keyboard Extraction and Recognition
DECKER improves cross-keyboard and cross-user keystroke identification from audio using domain-invariant embeddings on the new diverse HEAR dataset, with additional gains from language model sequence correction.
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TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations
TCD-Arena is a new customizable testing framework that runs millions of experiments to map how 33 different assumption violations affect time series causal discovery methods and shows ensembles can boost overall robustness.
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Towards Real-Time ECG and EMG Modeling on $\mu$NPUs
PhysioLite delivers Transformer-comparable ECG/EMG performance using learnable wavelet filters and hardware-aware design at ~370KB quantized size on μNPUs.
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Transolver: A Fast Transformer Solver for PDEs on General Geometries
Transolver learns intrinsic physical states from discretized meshes by adaptively splitting domains into flexible learnable slices and computing attention over physics-aware tokens, achieving state-of-the-art PDE solving on general geometries.