Atilim Günes Baydin

Orcid: 0000-0001-9854-8100

According to our database1, Atilim Günes Baydin authored at least 58 papers between 2008 and 2024.

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Bibliography

2024
Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming.
CoRR, 2024

2023
High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery.
CoRR, 2023

Managing AI Risks in an Era of Rapid Progress.
CoRR, 2023

2022
Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translation.
CoRR, 2022

Gradients without Backpropagation.
CoRR, 2022

Probabilistic surrogate networks for simulators with unbounded randomness.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Attention for Inference Compilation.
Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, 2022

KL Guided Domain Adaptation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Amortized Rejection Sampling in Universal Probabilistic Programming.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles.
CoRR, 2021

Simulation Intelligence: Towards a New Generation of Scientific Methods.
CoRR, 2021

Detecting and Quantifying Malicious Activity with Simulation-based Inference.
CoRR, 2021

Technology Readiness Levels for Machine Learning Systems.
CoRR, 2021

Domain Invariant Representation Learning with Domain Density Transformations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning.
CoRR, 2020

Towards Automated Satellite Conjunction Management with Bayesian Deep Learning.
CoRR, 2020

Spacecraft Collision Risk Assessment with Probabilistic Programming.
CoRR, 2020

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

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

Black-Box Optimization with Local Generative Surrogates.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AutoSimulate: (Quickly) Learning Synthetic Data Generation.
Proceedings of the Computer Vision - ECCV 2020, 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

Deep Probabilistic Surrogate Networks for Universal Simulator Approximation.
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

Usability of Probabilistic Programming Languages.
Proceedings of the 30th Annual Workshop of the Psychology of Programming Interest Group, 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 J. Behav. Robotics, 2012

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