Atılım Güneş Baydin
University of Oxford
H-index: 21
Europe-United Kingdom
Top articles of Atılım Güneş Baydin
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Improving Thermospheric Density Predictions in Low-Earth Orbit With Machine Learning | Space Weather | Giacomo Acciarini Edward Brown Tom Berger Madhulika Guhathakurta James Parr | 2024 |
Toward 3D Retrieval of Exoplanet Atmospheres: Assessing Thermochemical Equilibrium Estimation Methods | The Planetary Science Journal | Michael D Himes Joseph Harrington Atılım Güneş Baydin | 2023/4/27 |
A surrogate model for studying solar energetic particle transport and the seed population | Space Weather | Atilim Guneş Baydin Bala Poduval Nathan A Schwadron | 2023/12 |
Karman-a machine learning software package for benchmarking thermospheric density models | Giacomo Acciarini Edward Brown Chris Bridges Atılım Günes Baydin Thomas E Berger | 2023 | |
High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery | arXiv preprint arXiv:2312.06845 | Shreshth A Malik James Walsh Giacomo Acciarini Thomas E. Berger Atılım Güneş Baydin | 2023/12 |
Observation Strategies and Megaconstellations Impact on Current LEO Population | Proceedings of the 2nd NEO and Debris Detection Conference (NEOSST2) | Giacomo Acciarini Nicola Baresi Christopher Bridges Leonard Felicetti Stephen Hobbs | 2023 |
Managing AI risks in an era of rapid progress | arXiv preprint arXiv:2310.17688 | Yoshua Bengio Geoffrey Hinton Andrew Yao Dawn Song Pieter Abbeel | 2023/10/26 |
PyATMOS: A Scalable Grid of Hypothetical Planetary Atmospheres | arXiv preprint arXiv:2308.10624 | Aditya Chopra Aaron C Bell William Fawcett Rodd Talebi Daniel Angerhausen | 2023/8/21 |
Accurate Machine-Learning Atmospheric Retrieval via a Neural-Network Surrogate Model for Radiative Transfer | The Planetary Science Journal | Michael D. Himes Joseph Harrington Adam D. Cobb Atılım Güneş Baydin Frank Soboczenski | 2022 |
Probabilistic surrogate networks for simulators with unbounded randomness | Andreas Munk Berend Zwartsenberg Adam Ścibior Atılım Güneş G Baydin Andrew Stewart | 2022/8/17 | |
KL Guided Domain Adaptation | Tuan Nguyen Toan Tran Yarin Gal Philip Torr Atılım Güneş Baydin | 2022 | |
Seismic savanna: machine learning for classifying wildlife and behaviours using ground‐based vibration field recordings | Remote Sensing in Ecology and Conservation | Alexandre Szenicer Michael Reinwald Ben Moseley Tarje Nissen‐Meyer Zachary Mutinda Muteti | 2022/4 |
Amortized rejection sampling in universal probabilistic programming | Saeid Naderiparizi Adam Scibior Andreas Munk Mehrdad Ghadiri Atilim Gunes Baydin | 2022/5/3 | |
Toward the end-to-end optimization of particle physics instruments with differentiable programming: a white paper | Tommaso Dorigo Andrea Giammanco Pietro Vischia Max Aehle Mateusz Bawaj | 2023/5/25 | |
Gradients without backpropagation | arXiv preprint arXiv:2202.08587 | Atılım Güneş Baydin Barak A Pearlmutter Don Syme Frank Wood Philip Torr | 2022/2/17 |
Technology readiness levels for machine learning systems | Nature Communications | Alexander Lavin Ciarán M Gilligan-Lee Alessya Visnjic Siddha Ganju Dava Newman | 2022/10/20 |
Estimating the impact of coordinated inauthentic behavior on content recommendations in social networks | S Mehta R Bonneau J Nagler P Torr AG Baydin | 2022 | |
Exploring the limits of synthetic creation of solar EUV images via image-to-image translation | The Astrophysical Journal | Valentina Salvatelli Luiz FG Dos Santos Souvik Bose Brad Neuberg Mark CM Cheung | 2022/10/3 |
Physics informed deep learning to super-resolve and cross-calibrate solar magnetograms | Andres Munoz-Jaramillo Anna Jungbluth Xavier Gitiaux Paul Wright Carl Shneider | 2021/10/6 | |
Learning the solar latent space: sigma-variational autoencoders for multiple channel solar imaging | Edward Brown Stefano Bonasera Bernard Benson Jorge A. Pérez-Hernández Giacomo Acciarini | 2021 |
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