A new corpus of 108 mixed string-numeric tables shows that advanced tabular learners with basic string embeddings perform well on most real-world data, while large LLM encoders help on free-text heavy tables.
and Cadima, Jorge , title =
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Intrinsic dimension of quantum trajectories serves as an unsupervised probe sensitive to chaos, integrability, and ergodicity breaking in dissipative quantum systems.
A new GPU-oriented batch SVD solver based on the one-sided Jacobi method delivers significant speedups over vendor libraries and prior open-source implementations across precisions and matrix shapes.
DIVE proposes a dimensionality-reduction adapter using self-limiting gradients and implicit view ensembles that outperforms prior adapters on all six BEIR datasets at every tested compression ratio.
In one Parkinson patient, higher occlusion produced the smallest longitudinal shift in PCA gait latent space over 11 weeks while immediate performance stayed comparable, supporting a viability level focused on sustained organization.
In one Parkinsonian subject, a neural network approximates the observed shift in PCA gait latent space between two sessions across six occlusal conditions.
citing papers explorer
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STRABLE: Benchmarking Tabular Machine Learning with Strings
A new corpus of 108 mixed string-numeric tables shows that advanced tabular learners with basic string embeddings perform well on most real-world data, while large LLM encoders help on free-text heavy tables.
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Complexity of Quantum Trajectories
Intrinsic dimension of quantum trajectories serves as an unsupervised probe sensitive to chaos, integrability, and ergodicity breaking in dissipative quantum systems.
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An Efficient Batch Solver for the Singular Value Decomposition on GPUs
A new GPU-oriented batch SVD solver based on the one-sided Jacobi method delivers significant speedups over vendor libraries and prior open-source implementations across precisions and matrix shapes.
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DIVE: Embedding Compression via Self-Limiting Gradient Updates
DIVE proposes a dimensionality-reduction adapter using self-limiting gradients and implicit view ensembles that outperforms prior adapters on all six BEIR datasets at every tested compression ratio.
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From Organization to Viability: A Multi-Level Analysis of Gait Dynamics Under Occlusal Constraint
In one Parkinson patient, higher occlusion produced the smallest longitudinal shift in PCA gait latent space over 11 weeks while immediate performance stayed comparable, supporting a viability level focused on sustained organization.
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From Observed Viability to Internal Predictive Approximation: A Single-Subject Latent-Space Analysis of Gait Dynamics Under Occlusal Constraint
In one Parkinsonian subject, a neural network approximates the observed shift in PCA gait latent space between two sessions across six occlusal conditions.