RSOM applies dictionary learning to discover a sparse dictionary that conditions the analytic continuation inverse problem, yielding competitive results on synthetic tests and finite-temperature electron gas QMC data.
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Sparse approximate solutions to linear systems
4 Pith papers cite this work, alongside 2,822 external citations. Polarity classification is still indexing.
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Sparse optimization and SDP-based post-processing of PEP dual certificates recovers compact, interpretable proofs and Lyapunov functions for first-order optimization methods.
QWHA proposes Walsh-Hadamard Transform adapters with adaptive initialization for quantization-aware PEFT, claiming better low-bit accuracy and faster training than low-rank or other FT-based baselines.
The paper applies sparse approximation to RSS-based geolocation of multiple emitters to characterize resolution and detectability as functions of noise and sensor geometry.
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Discovering a well-conditioned analytic continuation problem via dictionary learning
RSOM applies dictionary learning to discover a sparse dictionary that conditions the analytic continuation inverse problem, yielding competitive results on synthetic tests and finite-temperature electron gas QMC data.
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Finding Simple Proofs for First-Order Optimization
Sparse optimization and SDP-based post-processing of PEP dual certificates recovers compact, interpretable proofs and Lyapunov functions for first-order optimization methods.
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QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models
QWHA proposes Walsh-Hadamard Transform adapters with adaptive initialization for quantization-aware PEFT, claiming better low-bit accuracy and faster training than low-rank or other FT-based baselines.
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Geolocation of Multiple Noncooperative Emitters Using Received Signal Strength: Sparsity, Resolution, and Detectability
The paper applies sparse approximation to RSS-based geolocation of multiple emitters to characterize resolution and detectability as functions of noise and sensor geometry.