Disciplined Biconvex Programming
arxiv.org·2h
📐Computational Geometry
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Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features
arxiv.org·2h
⛰️Gradient Descent
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Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks
journals.aps.org·7h
⛰️Gradient Descent
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Real-Time Process Optimization via Adaptive Bayesian Reinforcement Learning and Multi-Objective Genetic Algorithms
dev.to·6h·
Discuss: DEV
🦠Whole cell model
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Approximating Young Measures With Deep Neural Networks
arxiv.org·2h
⛰️Gradient Descent
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Bio-Inspired Neuron Synapse Optimization for Adaptive Learning and Smart Decision-Making
arxiv.org·2h
⛰️Gradient Descent
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Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
arxiv.org·2h
⛰️Gradient Descent
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A Practitioner's Guide to Kolmogorov-Arnold Networks
arxiviq.substack.com·1d·
Discuss: Substack
⛰️Gradient Descent
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.org·2h
🔢Embeddings
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Benchmarking Generative AI Against Bayesian Optimization for Constrained Multi-Objective Inverse Design
arxiv.org·2h
📊Empirical Bayes
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News for October 2025
ptreview.sublinear.info·7h
🔲Zarr
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Towards Automated Petrography
arxiv.org·2h
📐Computational Geometry
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Gamma convergence for a phase-field cohesive energy
arxiv.org·2h
📐Computational Geometry
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Hybrid Quantum-Classical Optimization of the Resource Scheduling Problem
arxiv.org·2h
⛰️Gradient Descent
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Writing an LLM from scratch, part 27 – what's left, and what's next?
gilesthomas.com·6h·
Discuss: Hacker News
⛰️Gradient Descent
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Understanding the Design of Optimizers with me
dev.to·1d·
Discuss: DEV
⛰️Gradient Descent
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Anatomically Constrained Transformers for Echocardiogram Analysis
arxiv.org·2h
🗺️UMAP
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