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🤝 Open to Collab
Marcus Gawronsky
marcusinthesky
AI & ML interests
Representation Learning
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Probability-valued firm information is used to study asset co-movement, construct interaction fields, and certify portfolio diversification.
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Systematic Covariance Envelopes from Wasserstein Geometry: Evidence from Language-Model Representations
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Wasserstein-Barycentric Interaction Fields for Spatial Factor Models: Evidence from Language-Model Representations
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Portfolio Risk Bounds without Cross-Asset Return Covariances: Distributional Fields from Language-Model Representations
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MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
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MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks
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LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers Content
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TVBench: Redesigning Video-Language Evaluation
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Probability-valued firm information is used to study asset co-movement, construct interaction fields, and certify portfolio diversification.
-
Systematic Covariance Envelopes from Wasserstein Geometry: Evidence from Language-Model Representations
Paper • 2410.23447 • Published • 1 -
Wasserstein-Barycentric Interaction Fields for Spatial Factor Models: Evidence from Language-Model Representations
Paper • 2608.29669 • Published • 1 -
Portfolio Risk Bounds without Cross-Asset Return Covariances: Distributional Fields from Language-Model Representations
Paper • 2608.29692 • Published • 1
-
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
Paper • 2410.10139 • Published • 51 -
MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks
Paper • 2410.10563 • Published • 37 -
LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers Content
Paper • 2410.10783 • Published • 26 -
TVBench: Redesigning Video-Language Evaluation
Paper • 2410.07752 • Published • 6
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