Philipp Grohs
6 papers · 2016–2023 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(22)
❓
The Questioner
(2)
Venues
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(5)
Architectures
(5)
Optimization & Theory · Machine Learning
(3)
Interdisciplinary
(2)
Mathematics & Optimization
(2)
Optimization & Theory · Deep Learning
(2)
Science
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Application Areas · Machine Learning
(1)
Application Areas · Deep Learning
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types
(1)
Keywords
deep learning
(2)
quantum chemistry
(2)
transfer learning
(1)
feature extraction
(1)
statistical learning theory
(1)
self-supervised learning
(1)
sample complexity
(1)
generalization error
(1)
curse of dimensionality
(1)
convolutional neural network
(1)
deep convolutional neural network
(1)
deep neural network
(1)
relu activation
(1)
schrödinger equation
(1)
high-dimensional pde
(1)
relu network
(1)
monte carlo method
(1)
parametric family
(1)
local minimum
(1)
neural wave function
(1)
Papers
Learning ReLU networks to high uniform accuracy is intractable
ICLR 2023
Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions
NeurIPS 2023
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?
NeurIPS 2022
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning
NeurIPS 2020
How degenerate is the parametrization of neural networks with the ReLU activation function?
NeurIPS 2019
Discrete Deep Feature Extraction: A Theory and New Architectures
ICML 2016