Nino Scherrer

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it

Whom Nino Scherrer trusts overall

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

1. Ronald J. Williams
2. Jack Kuipers
3. David Maxwell Chickering
4. Tom L. Burr

Papers from Nino Scherrer's perspective

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

1. Long Short-Term Memory
2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
3. Optimal Structure Identification With Greedy Search
4. Causation, Prediction, and Search
5. Bayesian Graphical Models for Discrete Data
6. Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
7. Causal inference by using invariant prediction: identification and confidence intervals
8. Learning Causal Bayesian Network Structures From Experimental Data
9. DAGs with NO TEARS: Continuous Optimization for Structure Learning
10. A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms

Their papers

• Variational Causal Networks: Approximate Bayesian Inference over Causal Structures (2021) — 61 citations