A single end-to-end Transformer model unifies stellar labels from heterogeneous spectroscopic surveys into a self-consistent scale without post-hoc recalibration.
Lance: Efficient random access in columnar storage through adaptive structural encodings
5 Pith papers cite this work. Polarity classification is still indexing.
representative citing papers
SilverTorch replaces standalone ANN indexing and filtering with a unified GPU model using a model-based Bloom index and fused Int8 ANN kernel, delivering up to 23.7x throughput and 13.35x cost efficiency gains on industry data.
An open-source visual analytics workbench enables provenance-aware, interactive embedding-based retrieval of weather and climate analogs, scalable to tens of millions of embeddings on commodity hardware.
The paper presents stable-worldmodel (swm), a platform with high-performance data layer, modern world model baselines, planning solvers, and extended environments for reproducible research and generalization evaluation.
PystachIO is a PyTorch-based distributed OLAP engine that delivers up to 3x end-to-end speedups for storage-resident queries by combining fast RDMA networks, NVMe storage, and I/O-computation overlap optimizations.
citing papers explorer
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Homogeneous Stellar Parameters from Heterogeneous Spectra with Deep Learning
A single end-to-end Transformer model unifies stellar labels from heterogeneous spectroscopic surveys into a self-consistent scale without post-hoc recalibration.
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SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendation on GPUs
SilverTorch replaces standalone ANN indexing and filtering with a unified GPU model using a model-based Bloom index and fused Int8 ANN kernel, delivering up to 23.7x throughput and 13.35x cost efficiency gains on industry data.
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Toward a Scientific Discovery Engine for Weather and Climate Data: A Visual Analytics Workbench for Embedding-Based Exploration
An open-source visual analytics workbench enables provenance-aware, interactive embedding-based retrieval of weather and climate analogs, scalable to tens of millions of embeddings on commodity hardware.
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stable-worldmodel: A Platform for Reproducible World Modeling Research and Evaluation
The paper presents stable-worldmodel (swm), a platform with high-performance data layer, modern world model baselines, planning solvers, and extended environments for reproducible research and generalization evaluation.
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PystachIO: Efficient Distributed GPU Query Processing with PyTorch over Fast Networks & Fast Storage
PystachIO is a PyTorch-based distributed OLAP engine that delivers up to 3x end-to-end speedups for storage-resident queries by combining fast RDMA networks, NVMe storage, and I/O-computation overlap optimizations.