Optimal Control Theoretic Neural Optimizer: From Backpropagation to Dynamic Programming
arxiv.org·2w
📐Linear Algebra
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Dynamic Decisions: Making Memory-Efficient AI a Reality with Differentiable Algorithms by Arvind Sundararajan
🏗️Constructive Mathematics
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Topographical sparse mapping: A training framework for deep learning models
📐Linear Algebra
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Generalization Below the Edge of Stability: The Role of Data Geometry
arxiv.org·2w
📐Linear Algebra
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When Transformers Sing: Adapting SpectralKD for Text-Based Knowledge Distillation
towardsdatascience.com·1w
📡DSP
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<p>**Abstract:** This paper presents a novel framework for accelerated and highly accurate corrosion fatigue life prediction, leveraging multi-modal data ingest...
freederia.com·3w
🌐WebAssembly
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RL for Reasoning by Adaptively Revealing Rationales
machinelearning.apple.com·1w
⚙️Compilers
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A non-diagonal SSM RNN computed in parallel without requiring stabilization
⚙️Compilers
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Automatic network structure discovery of physics informed neural networks via knowledge distillation
nature.com·1w
📡DSP
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Enhancing Boiler Efficiency via Adaptive Predictive Maintenance using Multi-Modal Sensor Fusion and Bayesian Optimization
🧠CPU Architecture
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A mathematical certification for positivity conditions in Neural Networks with applications to partial monotonicity and Trustworthy AI
arxiv.org·6d
📐Linear Algebra
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krnel-graph: The scikit-learn of AI internals
krnel.ai·2w
⚙️Compilers
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