Philipp Grohs
6 papers · 2016–2023 · 3 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (3) 🏃 Academic Marathon (7) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(20)
🧭
Keyword Pioneer
📈
Trend Setter
❓
The Questioner
(2)
Conferences
NIPS (4)
ICLR (1)
ICML (1)
Top co-authors
Research topics
Keywords
quantum chemistry
(2)
deep learning
(2)
transfer learning
(1)
feature extraction
(1)
self-supervised learning
(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)
monte carlo method
(1)
parametric family
(1)
local minimum
(1)
neural network parametrization
(1)
feynman-kac formula
(1)
variational monte carlo
(1)
pooling operator
(1)
mathematical theory
(1)
Papers
Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions
NIPS 2023
Learning ReLU networks to high uniform accuracy is intractable
ICLR 2023
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?
NIPS 2022
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning
NIPS 2020
How degenerate is the parametrization of neural networks with the ReLU activation function?
NIPS 2019
Discrete Deep Feature Extraction: A Theory and New Architectures
ICML 2016