🕯️ Candle - emschwartz · Scour

Deep-testing: the case of dependence detection 🏗️LLM Infrastructure

Which one is more important: more parameters or more computation? (2021) 🧠LLM Inference

parl.ai·6d·Hacker News

Large Language Models Explore by Latent Distilling 🧠LLM Inference

eDySec: A Deep Learning-based Explainable Dynamic Analysis Framework for Detecting Malicious Packages in PyPI Ecosystem 🔍Quickwit

Generative Design of a Gas Turbine Combustor Using Invertible Neural Networks 🔗ONNX

Optimizing High-Throughput Distributed Data Pipelines for Reproducible Deep Learning at Scale 🏗️LLM Infrastructure

Multiple Additive Neural Networks for Structured and Unstructured Data 📊Embeddings

Agentic Fusion of Large Atomic and Language Models to Accelerate Materials Discovery 🎯Qdrant

Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators ⚡Hardware Acceleration

Towards interpretable AI with quantum annealing feature selection 🔍AI Interpretability

HGQ-LUT: Fast LUT-Aware Training and Efficient Architectures for DNN Inference 🔢BitNet Inference

Benchmarking PyCaret AutoML Against BiLSTM for Fine-Grained Emotion Classification: A Comparative Study on 20-Class Emotion Detection 📋Text Quality

FGDM: Reasoning Aware Multi-Agentic Framework for Software Bug Detection using Chain of Thought and Tree of Thought Prompting 💻Coding Agents

Hyper Input Convex Neural Networks for Shape Constrained Learning and Optimal Transport 📊Vector Databases

SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions 📊Vector Databases

Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs 🧮SMT Solvers

Grounding vs. Compositionality: On the Non-Complementarity of Reasoning in Neuro-Symbolic Systems 🧠LLM Inference

FreeScale: Distributed Training for Sequence Recommendation Models with Minimal Scaling Cost 🎯Recommendation Algorithms

Quality-Driven Selective Mutation for Deep Learning 🏗️LLM Infrastructure

Scalable Hyperparameter-Divergent Ensemble Training with Automatic Learning Rate Exploration for Large Models 📦Batch Embeddings

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