Robert D. Skeel

Molecular Biology · 2001–2020

A researcher in the Science corpus: 6 papers; trusts 2 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 39 citations into it; #16,101 of 17,773 by trust here, #2,628 by citations
• Atomic and Molecular Physics, and Optics — 35 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it

Whom Robert D. Skeel trusts overall

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

1. Peter E. Kloeden
2. Eckhard Platen

Who trusts Robert D. Skeel overall

1. B. Leimkuhler
2. Niels Grønbech-Jensen
3. J'erome H'enin
4. Oded Farago
5. Chunyuan Li
6. Charles Matthews
7. Emad Noorizadeh
8. Tony Lelièvre
9. Changyou Chen
10. Gabriel Stoltz

Papers from Robert D. Skeel's perspective

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

1. A Stochastic Approximation Method
2. Latent Dirichlet Allocation
3. Bayesian Learning via Stochastic Gradient Langevin Dynamics
4. MCMC Using Hamiltonian Dynamics
5. Stochastic variational inference
6. Hybrid Monte Carlo
7. Riemann manifold Langevin and Hamiltonian Monte Carlo methods
8. Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
9. Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Scalable molecular dynamics with NAMD (2005) — 16,410 citations
• Scalable molecular dynamics on CPU and GPU architectures with NAMD. (2020) — 2,675 citations
• Langevin stabilization of molecular dynamics (2001) — 982 citations
• Bayesian Sampling Using Stochastic Gradient Thermostats (2014) — 243 citations
• Monitoring energy drift with shadow Hamiltonians (2005) — 80 citations
• An impulse integrator for Langevin dynamics (2002) — 154 citations