🏢 University of Texas at Austin
Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning
·6573 words·31 mins·
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AI Generated
🤗 Daily Papers
AI Theory
Optimization
🏢 University of Texas at Austin
RL optimizes quantum error-correcting codes, slashing physical qubit overhead for fault-tolerant quantum computing.
TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models
·2951 words·14 mins·
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AI Generated
🤗 Daily Papers
Computer Vision
3D Vision
🏢 University of Texas at Austin
TripoSG: High-fidelity 3D shapes synthesized via large-scale rectified flow models, pushing image-to-3D generation to new heights.
Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing
·3334 words·16 mins·
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AI Generated
🤗 Daily Papers
Natural Language Processing
Large Language Models
🏢 University of Texas at Austin
Polarizing SSMs’ state transition matrices enhances long-range dependency modeling by mitigating recency bias and over-smoothing.
Learned Compression for Compressed Learning
·2966 words·14 mins·
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AI Generated
🤗 Daily Papers
Computer Vision
Image Classification
🏢 University of Texas at Austin
WaLLOC: a novel neural codec boosts compressed-domain learning by combining wavelet transforms with asymmetric autoencoders, achieving high compression ratios with minimal computation and uniform dime…