Physics Meets ML

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Implicit Regularization in Quantum Tensor Networks

Implicit Regularization in Quantum Tensor Networks

Physics Meets ML

344 views·3 years ago

Differentiable Programming in HEP

Differentiable Programming in HEP

Physics Meets ML

500 views·3 years ago

Anomaly detection in the search for new physics

Anomaly detection in the search for new physics

Physics Meets ML

580 views·3 years ago

Maths with transformers

Maths with transformers

Physics Meets ML

4.6K views·3 years ago

Explainable deep learning models for cosmological structure formation

Explainable deep learning models for cosmological structure formation

Physics Meets ML

540 views·3 years ago

Minerva Solving Quantitative Reasoning Problems with Language Models

Minerva Solving Quantitative Reasoning Problems with Language Models

Physics Meets ML

1.4K views·3 years ago

Weak Supervision for the Strong Force

Weak Supervision for the Strong Force

Physics Meets ML

208 views·3 years ago

Simulation-based inference for astrophysical dark matter searches

Simulation-based inference for astrophysical dark matter searches

Physics Meets ML

337 views·3 years ago

Renormalization Group Flow as Optimal Transport

Renormalization Group Flow as Optimal Transport

Physics Meets ML

1.6K views·4 years ago

Effective Theory of Deep Neural Networks

Effective Theory of Deep Neural Networks

Physics Meets ML

2.0K views·4 years ago

Formal Mathematics Statement Curriculum Learning

Formal Mathematics Statement Curriculum Learning

Physics Meets ML

325 views·4 years ago

Machine Learning Statistical Gravity from Multi-Region Entanglement Entropy

Machine Learning Statistical Gravity from Multi-Region Entanglement Entropy

Physics Meets ML

348 views·4 years ago

Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Physics Meets ML

1.0K views·4 years ago

BI for AI Energy conserving descent for optimization

BI for AI Energy conserving descent for optimization

Physics Meets ML

269 views·4 years ago

A self-consistent GP framework far from the GP limit

A self-consistent GP framework far from the GP limit

Physics Meets ML

275 views·4 years ago

Fast and Credible Inference with Truncated Marginal Neural Ratio Estimation

Fast and Credible Inference with Truncated Marginal Neural Ratio Estimation

Physics Meets ML

447 views·4 years ago

Equivariant Neural Fields A Roadmap Towards Generalizable Neural Representation and Inference

Equivariant Neural Fields A Roadmap Towards Generalizable Neural Representation and Inference

Physics Meets ML

596 views·4 years ago

Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows

Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows

Physics Meets ML

796 views·4 years ago

Uncovering the Unknowns of Deep Neural Networks Challenges and Opportunities

Uncovering the Unknowns of Deep Neural Networks Challenges and Opportunities

Physics Meets ML

506 views·4 years ago

Machine Learning Application for the Event Horizon Telescope

Machine Learning Application for the Event Horizon Telescope

Physics Meets ML

634 views·4 years ago

Normalizing Flows for scientific applications

Normalizing Flows for scientific applications

Physics Meets ML

1.6K views·4 years ago

Differentiable Physics Simulations for Deep Learning

Differentiable Physics Simulations for Deep Learning

Physics Meets ML

3.7K views·4 years ago

JAX MD A Framework for Differentiable Atomistic Physics

JAX MD A Framework for Differentiable Atomistic Physics

Physics Meets ML

4.4K views·4 years ago

Towards Flow-based MCMC for Lattice Gauge Theory with Fermions

Towards Flow-based MCMC for Lattice Gauge Theory with Fermions

Physics Meets ML

516 views·4 years ago

Interpretable Deep Learning for Physics

Interpretable Deep Learning for Physics

Physics Meets ML

1.2K views·4 years ago

Compositionality of Symmetry in Equivariant Multilayer Perceptrons

Compositionality of Symmetry in Equivariant Multilayer Perceptrons

Physics Meets ML

405 views·4 years ago

Explaining Neural Scaling Laws

Explaining Neural Scaling Laws

Physics Meets ML

2.9K views·4 years ago

Deep Neural Networks for Ab Initio Quantum Chemistry

Deep Neural Networks for Ab Initio Quantum Chemistry

Physics Meets ML

2.7K views·4 years ago

Are wider nets better given the same number of parameters

Are wider nets better given the same number of parameters

Physics Meets ML

389 views·4 years ago

Explorations at the Physics ∩ ML Interface

Explorations at the Physics ∩ ML Interface

Physics Meets ML

655 views·5 years ago

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