Atilim Günes Baydin

54 papers A 2B 2C 3Journal 46Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models. CoRR Linnea Wolniewicz, Halil Kelebek, Simone Mestici, Michael Vergalla, Giacomo Acciarini, Bala Poduval, Olga Verkhoglyadova, Madhulika Guhathakurta, Thomas E. Berger, Atilim Günes Baydin, Frank Soboczenski
2025	J	`jnl`	Forecasting the Ionosphere from Sparse GNSS Data with Temporal-Fusion Transformers. CoRR Giacomo Acciarini, Simone Mestici, Halil Kelebek, Linnea M. Wolniewicz, Michael D. Vergalla, Madhulika Guhathakurta, Umaa Rebbapragada, Bala Poduval, Atilim Günes Baydin, Frank Soboczenski
2025	J	`jnl`	IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics. CoRR Halil Kelebek, Linnea M. Wolniewicz, Michael D. Vergalla, Simone Mestici, Giacomo Acciarini, Bala Poduval, Olga Verkhoglyadova, Madhulika Guhathakurta, Thomas E. Berger, Frank Soboczenski, Atilim Günes Baydin
2024	J	`jnl`	A Foundation Model for the Solar Dynamics Observatory. CoRR James Walsh, Daniel G. Gass, Raúl Ramos-Pollán, Paul J. Wright, Richard Galvez, Noah Kasmanoff, Jason Naradowsky, Anne Spalding, James Parr, Atilim Günes Baydin
2024	J	`jnl`	Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming. CoRR Giacomo Acciarini, Atilim Günes Baydin, Dario Izzo
2024	J	`jnl`	Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept. CoRR Sam A. Scivier, Tarje Nissen-Meyer, Paula Koelemeijer, Atilim Günes Baydin
2024	J	`jnl`	Second-Order Forward-Mode Automatic Differentiation for Optimization. CoRR Adam D. Cobb, Atilim Günes Baydin, Barak A. Pearlmutter, Susmit Jha
2023	J	`jnl`	High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery. CoRR Shreshth A. Malik, James Walsh, Giacomo Acciarini, Thomas E. Berger, Atilim Günes Baydin
2023	J	`jnl`	Managing AI Risks in an Era of Rapid Progress. CoRR Yoshua Bengio, Geoffrey E. Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian K. Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atilim Günes Baydin, Sheila A. McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca D. Dragan, Philip H. S. Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, Sören Mindermann
2022	C	`conf`	Attention for Inference Compilation. SIMULTECH William Harvey, Andreas Munk, Atilim Günes Baydin, Alexander Bergholm, Frank Wood
2022	J	`jnl`	Gradients without Backpropagation. CoRR Atilim Günes Baydin, Barak A. Pearlmutter, Don Syme, Frank Wood, Philip H. S. Torr
2022	A	`conf`	Probabilistic surrogate networks for simulators with unbounded randomness. UAI Andreas Munk, Berend Zwartsenberg, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood
2021	J	`jnl`	Detecting and Quantifying Malicious Activity with Simulation-based Inference. CoRR Andrew Gambardella, Bogdan State, Naeemullah Khan, Leo Tsourides, Philip H. S. Torr, Atilim Günes Baydin
2021	J	`jnl`	Domain Invariant Representation Learning with Domain Density Transformations. CoRR A. Tuan Nguyen, Toan Tran, Yarin Gal, Atilim Günes Baydin
2021	J	`jnl`	KL Guided Domain Adaptation. CoRR A. Tuan Nguyen, Toan Tran, Yarin Gal, Philip H. S. Torr, Atilim Günes Baydin
2021	J	`jnl`	Simulation Intelligence: Towards a New Generation of Scientific Methods. CoRR Alexander Lavin, Hector Zenil, Brooks Paige, David Krakauer, Justin Gottschlich, Tim Mattson, Anima Anandkumar, Sanjay Choudry, Kamil Rocki, Atilim Günes Baydin, Carina Prunkl, Olexandr Isayev, Erik Peterson, Peter L. McMahon, Jakob H. Macke, Kyle Cranmer, Jiaxin Zhang, Haruko M. Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer
2021	J	`jnl`	Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles. CoRR Bernard Benson, Edward Brown, Stefano Bonasera, Giacomo Acciarini, Jorge A. Pérez-Hernández, Eric Sutton, Moriba K. Jah, Christopher Bridges, Meng Jin, Atilim Günes Baydin
2021	J	`jnl`	Technology Readiness Levels for Machine Learning Systems. CoRR Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava J. Newman, Sujoy Ganguly, Danny Lange, Atilim Günes Baydin, Amit Sharma, Adam Gibson, Yarin Gal, Eric P. Xing, Chris Mattmann, James Parr
2020	—	`conf`	AutoSimulate: (Quickly) Learning Synthetic Data Generation. ECCV (22) Harkirat Singh Behl, Atilim Günes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet
2020	J	`jnl`	AutoSimulate: (Quickly) Learning Synthetic Data Generation. CoRR Harkirat Singh Behl, Atilim Günes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet
2020	J	`jnl`	Differentiating the Black-Box: Optimization with Local Generative Surrogates. CoRR Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atilim Günes Baydin
2020	J	`jnl`	Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning. CoRR Luiz F. G. dos Santos, Souvik Bose, Valentina Salvatelli, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Paul Boerner, Atilim Günes Baydin
2020	J	`jnl`	Simulation-Based Inference for Global Health Decisions. CoRR Christian Schröder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Robert Zinkov, Puneet K. Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip H. S. Torr, Atilim Günes Baydin
2020	J	`jnl`	Spacecraft Collision Risk Assessment with Probabilistic Programming. CoRR Giacomo Acciarini, Francesco Pinto, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atilim Günes Baydin
2020	J	`jnl`	Towards Automated Satellite Conjunction Management with Bayesian Deep Learning. CoRR Francesco Pinto, Giacomo Acciarini, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atilim Günes Baydin
2019	J	`jnl`	Alpha MAML: Adaptive Model-Agnostic Meta-Learning. CoRR Harkirat Singh Behl, Atilim Günes Baydin, Philip H. S. Torr
2019	J	`jnl`	Amortized Rejection Sampling in Universal Probabilistic Programming. CoRR Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Günes Baydin, Bradley Gram-Hansen, Christian Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood
2019	J	`jnl`	An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval. CoRR Adam D. Cobb, Michael D. Himes, Frank Soboczenski, Simone Zorzan, Molly D. O'Beirne, Atilim Günes Baydin, Yarin Gal, Shawn D. Domagal-Goldman, Giada N. Arney, Daniel Angerhausen
2019	J	`jnl`	Attention for Inference Compilation. CoRR William Harvey, Andreas Munk, Atilim Günes Baydin, Alexander Bergholm, Frank Wood
2019	J	`jnl`	Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder. CoRR Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt
2019	J	`jnl`	Deep Probabilistic Surrogate Networks for Universal Simulator Approximation. CoRR Andreas Munk, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood
2019	J	`jnl`	Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale. CoRR Atilim Günes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood
2019	A	`conf`	Etalumis: bringing probabilistic programming to scientific simulators at scale. SC Atilim Günes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood
2019	J	`jnl`	Flood Detection On Low Cost Orbital Hardware. CoRR Gonzalo Mateo-Garcia, Silviu Oprea, Lewis Smith, Josh Veitch-Michaelis, Guy Schumann, Yarin Gal, Atilim Günes Baydin, Dietmar Backes
2019	J	`jnl`	Hijacking Malaria Simulators with Probabilistic Programming. CoRR Bradley Gram-Hansen, Christian Schröder de Witt, Tom Rainforth, Philip H. S. Torr, Yee Whye Teh, Atilim Günes Baydin
2019	J	`jnl`	Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo. CoRR Adam D. Cobb, Atilim Günes Baydin, Andrew Markham, Stephen J. Roberts
2019	J	`jnl`	Prediction of GNSS Phase Scintillations: A Machine Learning Approach. CoRR Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt
2019	J	`jnl`	Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties. CoRR Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atilim Günes Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo
2019	J	`jnl`	Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses. CoRR Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atilim Günes Baydin, Yarin Gal, Andrés Muñoz-Jaramillo
2019	J	`jnl`	Transflow Learning: Repurposing Flow Models Without Retraining. CoRR Andrew Gambardella, Atilim Günes Baydin, Philip H. S. Torr
2017	B	`conf`	Using synthetic data to train neural networks is model-based reasoning. IJCNN Tuan Anh Le, Atilim Günes Baydin, Robert Zinkov, Frank D. Wood
2016	J	`jnl`	DiffSharp: An AD Library for .NET Languages. CoRR Atilim Günes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
2016	J	`jnl`	Tricks from Deep Learning. CoRR Atilim Günes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
2015	J	`jnl`	A semantic network-based evolutionary algorithm for computational creativity. Evol. Intell. Atilim Günes Baydin, Ramón López de Mántaras, Santiago Ontañón
2014	J	`jnl`	A semantic network-based evolutionary algorithm for modeling memetic evolution and creativity. CoRR Atilim Günes Baydin, Ramón López de Mántaras, Santiago Ontañón
2013	J	`jnl`	City versus wetland: Predicting urban growth in the Vecht area with a cellular automaton model CoRR Melek Tendurus, Atilim Günes Baydin, Marieke A. Eleveld, Alison J. Gilbert
2012	J	`jnl`	Automated Generation of Cross-Domain Analogies via Evolutionary Computation CoRR Atilim Günes Baydin, Ramón López de Mántaras, Santiago Ontañón
2012	C	`conf`	Automated Generation of Cross-Domain Analogies via Evolutionary Computation. ICCC Atilim Günes Baydin, Ramón López de Mántaras, Santiago Ontañón
2012	J	`jnl`	Evolution of Ideas: A Novel Memetic Algorithm Based on Semantic Networks CoRR Atilim Günes Baydin, Ramón López de Mántaras
2012	J	`jnl`	Evolution of central pattern generators for the control of a five-link bipedal walking mechanism. Paladyn J. Behav. Robotics Atilim Günes Baydin
2012	B	`conf`	Evolution of ideas: A novel memetic algorithm based on semantic networks. IEEE Congress on Evolutionary Computation Atilim Günes Baydin, Ramón López de Mántaras
2011	J	`jnl`	CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation CoRR Atilim Günes Baydin, Ramón López de Mántaras, Simeon J. Simoff, Carles Sierra
2011	C	`conf`	CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation. ICCBR Atilim Günes Baydin, Ramón López de Mántaras, Simeon J. Simoff, Carles Sierra
2008	J	`jnl`	Evolution of central pattern generators for the control of a five-link planar bipedal walking mechanism CoRR Atilim Günes Baydin