A. V. Lilienfeld

Artificial Intelligence · 2012–2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom A. V. Lilienfeld trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Eric R. Ziegel (in Artificial Intelligence)

Papers from A. V. Lilienfeld's perspective

Ordered by how strongly the researchers A. V. Lilienfeld trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Natural Language Processing (Almost) from Scratch
3. The Elements of Statistical Learning
4. Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation
5. Learning a better representation of speech soundwaves using restricted boltzmann machines
6. A tutorial on support vector regression
7. Handbook of Molecular Descriptors
8. Fast and accurate modeling of molecular atomization energies with machine learning.
9. The Blue Obelisk—Interoperability in Chemical Informatics
10. A random-sampling high dimensional model representation neural network for building potential energy surfaces.

Their papers

• Fast machine learning models of electronic and energetic properties consistently reach approximation errors better than DFT accuracy (2017) — 19 citations
• Learning Invariant Representations of Molecules for Atomization Energy Prediction (2012) — 136 citations