Atilim Günes Baydin

According to our database1, Atilim Günes Baydin authored at least 40 papers between 2008 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Simulation-Based Inference for Global Health Decisions.
CoRR, 2020

Differentiating the Black-Box: Optimization with Local Generative Surrogates.
CoRR, 2020

2019
Transflow Learning: Repurposing Flow Models Without Retraining.
CoRR, 2019

Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning.
CoRR, 2019

Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona.
CoRR, 2019

Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses.
CoRR, 2019

Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties.
CoRR, 2019

Attention for Inference Compilation.
CoRR, 2019

Deep Probabilistic Surrogate Networks for Universal Simulator Approximation.
CoRR, 2019

Amortized Rejection Sampling in Universal Probabilistic Programming.
CoRR, 2019

Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo.
CoRR, 2019

Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder.
CoRR, 2019

Flood Detection On Low Cost Orbital Hardware.
CoRR, 2019

Prediction of GNSS Phase Scintillations: A Machine Learning Approach.
CoRR, 2019

Hijacking Malaria Simulators with Probabilistic Programming.
CoRR, 2019

An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval.
CoRR, 2019

Alpha MAML: Adaptive Model-Agnostic Meta-Learning.
CoRR, 2019

Etalumis: bringing probabilistic programming to scientific simulators at scale.
Proceedings of the International Conference for High Performance Computing, 2019

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval.
CoRR, 2018

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model.
CoRR, 2018

Online Learning Rate Adaptation with Hypergradient Descent.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Automatic Differentiation in Machine Learning: a Survey.
J. Mach. Learn. Res., 2017

Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators.
CoRR, 2017

Using synthetic data to train neural networks is model-based reasoning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Inference Compilation and Universal Probabilistic Programming.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Tricks from Deep Learning.
CoRR, 2016

DiffSharp: An AD Library for .NET Languages.
CoRR, 2016

2015
A semantic network-based evolutionary algorithm for computational creativity.
Evol. Intell., 2015

DiffSharp: Automatic Differentiation Library.
CoRR, 2015

Automatic differentiation in machine learning: a survey.
CoRR, 2015

2014
An Analysis of Publication Venues for Automatic Differentiation Research.
CoRR, 2014

Automatic Differentiation of Algorithms for Machine Learning.
CoRR, 2014

A semantic network-based evolutionary algorithm for modeling memetic evolution and creativity.
CoRR, 2014

2013
City versus wetland: Predicting urban growth in the Vecht area with a cellular automaton model
CoRR, 2013

2012
Evolution of central pattern generators for the control of a five-link bipedal walking mechanism.
Paladyn, 2012

Automated Generation of Cross-Domain Analogies via Evolutionary Computation.
Proceedings of the Third International Conference on Computational Creativity, Dublin, Ireland, May 30, 2012

Evolution of ideas: A novel memetic algorithm based on semantic networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation.
Proceedings of the Case-Based Reasoning Research and Development, 2011

2008
Evolution of central pattern generators for the control of a five-link planar bipedal walking mechanism
CoRR, 2008


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