🤖 ML

machine learning, neural networks, deep learning, AI models

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Scoured 10101 posts in 13.0 ms
Learning Abstractions: A Conversation with Yann LeCun  🧠Claude
amacad.org·4d·Hacker News
Designing Context-Aware Dynamic Routers for Model Serving  🌐Distributed Systems
ys1113457623.medium.com·5d
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning in the NISQ Era  🌐Distributed Systems
nature.com·3d
Teaching thermodynamic laws to AI unlocks a polymer modeling challenge  💻Codex
phys.org·3d
Machine learning applications in sport: a scoping review  🤝AI Coding Tools
frontiersin.org·3d
Unified Neural Scaling Laws  λFunctional Programming
arxiv.org·2d
Safe and Secure Autonomy by Machine Learning Techniques: A Systematic Literature Review  🤝AI Coding Tools
eprint.iacr.org·6d
I Tried 40+ Artificial Intelligence (AI) Courses on Udemy: Here Are My 10 Best Recommendations  🤝AI Coding Tools
javarevisited.blogspot.com·3d·javarevisited.blogspot.com
Transformers Can Learn Posterior Predictive Distributions In-Context  λFunctional Programming
arxiv.org·2d
Multi-Resolution End-to-End Deep Neural Network for Optimizing Latency-Accuracy Tradeoff in Autonomous Driving  🌐Distributed Systems
arxiv.org·20h
ynnk-research/-NeuroFlow: Official PyTorch implementation of NeuroFlow: EMA-Gated Temporal Sequence Compression for Vision Transformers. Achieves up to 55.8x wall-clock speedup for video inference via semantic surprise routing and a training-free Dual-Memory Reconstruction Protocol.  🧠Claude
github.com·3d·Hacker News
GenSBI: Generative Methods for Simulation-Based Inference in JAX  💻Codex
arxiv.org·1d
Stochastic Gradient Descent with Momentum is Algorithmically Stable  🤖Algorithmic Trading
arxiv.org·1d
Statistical Embeddings for Similarity, Retrieval, and Interpretable Alignment of Numeric Tabular Datasets  🗄️Databases
arxiv.org·20h
CB-SLICE: Concept-Based Interpretable Error Slice Discovery  λFunctional Programming
arxiv.org·20h
The Hamilton-Jacobi Theory of Deep Learning  🌐Distributed Systems
arxiv.org·20h
Multi-Teacher Knowledge Distillation via Teacher-Informed Mixture Priors  🌐Distributed Systems
arxiv.org·1d
On the Optimizer Dependence of Neural Scaling Laws  🌐Distributed Systems
arxiv.org·20h
Representation Signatures and Risk-Feedback Alignment in LLM Trading Agents  🤖Algorithmic Trading
arxiv.org·20h
On the Construction and Implications of Low-Loss Valleys in LoRA-based Bayesian Inference  λFunctional Programming
arxiv.org·20h

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