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Machine Learning
🤖 Machine Learning
ML, neural networks, deep learning, model training
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Spiking
Neural
Network
inference on FPGAs with hls4ml
⚡
Electronics
Content type:
Academic
arxiv.org
·
17h
17 hours ago
Actions for Spiking Neural Network inference on FPGAs with hls4ml
ORIGAMI: Orientation-Aware Graph
Neural
Network
for Assessing Multimeric Interfaces of Protein Complex Structures
👁️
Computer Vision
Content type:
Academic
biorxiv.org
·
6d
6 days ago
Actions for ORIGAMI: Orientation-Aware Graph Neural Network for Assessing Multimeric Interfaces of Protein Complex Structures
Backpropagation
Without the Magic: A First-Principles Derivation
🧠
LLMs
Content type:
Blog
medium.com
·
5d
5 days ago
Actions for Backpropagation Without the Magic: A First-Principles Derivation
I stopped using most of Rust’s advanced features for my
ML
library
👁️
Computer Vision
Content type:
Code
github.com
·
2d
2 days ago
·
r/rust
Actions for I stopped using most of Rust’s advanced features for my ML library
Algebraic Cryptanalytic Extraction on Hard-Label
Neural
Networks
👁️
Computer Vision
eprint.iacr.org
·
6d
6 days ago
Actions for Algebraic Cryptanalytic Extraction on Hard-Label Neural Networks
Convergence Rates for
Neural-Network
Estimation with Current-Status Data
👁️
Computer Vision
Content type:
Academic
arxiv.org
·
17h
17 hours ago
Actions for Convergence Rates for Neural-Network Estimation with Current-Status Data
New comment by perturbation in "Ask HN: Who wants to be hired? (June 2026)"
👁️
Computer Vision
drive.google.com
·
5d
5 days ago
·
Hacker News
Actions for New comment by perturbation in "Ask HN: Who wants to be hired? (June 2026)"
Physics-trained
digital 'super-brain' speeds nanophotonic design
🌿
Digital Minimalism
phys.org
·
6d
6 days ago
Actions for Physics-trained digital 'super-brain' speeds nanophotonic design
Theory of
learning
of high-dimensional controlled non-linear dynamical systems (I):
models
and methods
🕸️
Distributed Systems
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Theory of learning of high-dimensional controlled non-linear dynamical systems (I): models and methods
CytoGem-XAI:A Hypergraph
Neural
Network
Framework for Genome-Scale Metabolic
Modeling
and Interpretable Analysis
🧠
LLMs
Content type:
Academic
biorxiv.org
·
3d
3 days ago
Actions for CytoGem-XAI:A Hypergraph Neural Network Framework for Genome-Scale Metabolic Modeling and Interpretable Analysis
Forward-Only Convolutional
Neural
Networks
with Learnable Channel-Class Assignment
👁️
Computer Vision
Content type:
Academic
arxiv.org
·
17h
17 hours ago
Actions for Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment
Generalization in
Deep
Neural
Networks
: Minimax Rates for Gradient Methods
🧠
LLMs
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods
Deep
learning
for echo sounder data
🧠
LLMs
Content type:
Academic
arxiv.org
·
17h
17 hours ago
Actions for Deep learning for echo sounder data
Optimal Rates for Generalization of
Gradient
Descent
Methods with
Deep
Neural Networks
🧠
LLMs
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks
New comment by Ayaz_Saifi in "Ask HN: Who wants to be hired? (June 2026)"
👁️
Computer Vision
drive.google.com
·
5d
5 days ago
·
Hacker News
Actions for New comment by Ayaz_Saifi in "Ask HN: Who wants to be hired? (June 2026)"
Why JAX Is a Much Better Backend for Quantum Circuit Simulation Than
PyTorch
👁️
Computer Vision
Content type:
Code
github.com
·
4d
4 days ago
·
DEV
Actions for Why JAX Is a Much Better Backend for Quantum Circuit Simulation Than PyTorch
Limitations of
Learning
Tanh
Neural
Networks
with Finite Precision
🧠
LLMs
Content type:
Academic
arxiv.org
·
17h
17 hours ago
Actions for Limitations of Learning Tanh Neural Networks with Finite Precision
Conservation Laws from Data Symmetry in
Neural
Networks
🧠
LLMs
Content type:
Academic
arxiv.org
·
17h
17 hours ago
Actions for Conservation Laws from Data Symmetry in Neural Networks
Flatland: The Adventures of
Gradient
Descent
with Large Step Sizes
🧠
LLMs
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Flatland: The Adventures of Gradient Descent with Large Step Sizes
PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on
Neural
Networks
via Piecewise-Linear Projection
🧠
LLMs
Content type:
Academic
arxiv.org
·
17h
17 hours ago
Actions for PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection
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