James Requeima

34 papers A* 11A 1Journal 22

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Meta-Learning Approach to Bayesian Causal Discovery. ICLR Anish Dhir, Matthew Ashman, James Requeima, Mark van der Wilk
2025	J	`jnl`	Artificial intelligence for methane detection: from continuous monitoring to verified mitigation. CoRR Anna Allen, Gonzalo Mateo-Garcia, Itziar Irakulis-Loitxate, Manuel Montesino San Martín, Marc Watine, James Requeima, Javier Gorroño, Cynthia Randles, Tharwat Mokalled, Luis Guanter, Richard E. Turner, Claudio Cifarelli, Manfredi Caltagirone
2025	A*	`conf`	Context is Key: A Benchmark for Forecasting with Essential Textual Information. ICML Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin
2025	J	`jnl`	End-to-end data-driven weather prediction. Nat. Anna Allen, Stratis Markou, Will Tebbutt, James Requeima, Wessel P. Bruinsma, Tom R. Andersson, Michael Herzog, Nicholas D. Lane, Matthew Chantry, J. Scott Hosking, Richard E. Turner
2025	J	`jnl`	Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning. CoRR Anish Dhir, Cristiana Diaconu, Valentinian Mihai Lungu, James Requeima, Richard E. Turner, Mark van der Wilk
2025	J	`jnl`	JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs. CoRR Aliaksandra Shysheya, John Bronskill, James Requeima, Shoaib Ahmed Siddiqui, Javier González, David Duvenaud, Richard E. Turner
2024	J	`jnl`	A Meta-Learning Approach to Bayesian Causal Discovery. CoRR Anish Dhir, Matthew Ashman, James Requeima, Mark van der Wilk
2024	J	`jnl`	AI for operational methane emitter monitoring from space. CoRR Anna Vaughan, Gonzalo Mateo-Garcia, Itziar Irakulis-Loitxate, Marc Watine, Pablo Fernandez-Poblaciones, Richard E. Turner, James Requeima, Javier Gorroño, Cynthia Randles, Manfredi Caltagirone, Claudio Cifarelli
2024	J	`jnl`	Aardvark Weather: end-to-end data-driven weather forecasting. CoRR Anna Vaughan, Stratis Markou, Will Tebbutt, James Requeima, Wessel P. Bruinsma, Tom R. Andersson, Michael Herzog, Nicholas D. Lane, J. Scott Hosking, Richard E. Turner
2024	J	`jnl`	Context is Key: A Benchmark for Forecasting with Essential Textual Information. CoRR Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin
2024	A*	`conf`	LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language. NeurIPS James Requeima, John Bronskill, Dami Choi, Richard E. Turner, David Kristjanson Duvenaud
2024	J	`jnl`	LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language. CoRR James Requeima, John Bronskill, Dami Choi, Richard E. Turner, David Duvenaud
2024	A*	`conf`	Translation Equivariant Transformer Neural Processes. ICML Matthew Ashman, Cristiana Diaconu, Junhyuck Kim, Lakee Sivaraya, Stratis Markou, James Requeima, Wessel P. Bruinsma, Richard E. Turner
2024	J	`jnl`	Translation Equivariant Transformer Neural Processes. CoRR Matthew Ashman, Cristiana Diaconu, Junhyuck Kim, Lakee Sivaraya, Stratis Markou, James Requeima, Wessel P. Bruinsma, Richard E. Turner
2023	A*	`conf`	Autoregressive Conditional Neural Processes. ICLR Wessel P. Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom R. Andersson, Anna Vaughan, Anthony Buonomo, J. Scott Hosking, Richard E. Turner
2023	J	`jnl`	Autoregressive Conditional Neural Processes. CoRR Wessel P. Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom R. Andersson, Anna Vaughan, Anthony Buonomo, J. Scott Hosking, Richard E. Turner
2023	J	`jnl`	Diffusion-Augmented Neural Processes. CoRR Lorenzo Bonito, James Requeima, Aliaksandra Shysheya, Richard E. Turner
2023	J	`jnl`	Sim2Real for Environmental Neural Processes. CoRR Jonas Scholz, Tom R. Andersson, Anna Vaughan, James Requeima, Richard E. Turner
2022	J	`jnl`	Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement. CoRR Tom R. Andersson, Wessel P. Bruinsma, Stratis Markou, James Requeima, Alejandro Coca-Castro, Anna Vaughan, Anna-Louise Ellis, Matthew Lazzara, Daniel C. Jones, J. Scott Hosking, Richard E. Turner
2022	J	`jnl`	Challenges and Pitfalls of Bayesian Unlearning. CoRR Ambrish Rawat, James Requeima, Wessel P. Bruinsma, Richard E. Turner
2022	A*	`conf`	Practical Conditional Neural Process Via Tractable Dependent Predictions. ICLR Stratis Markou, James Requeima, Wessel P. Bruinsma, Anna Vaughan, Richard E. Turner
2022	J	`jnl`	Practical Conditional Neural Processes Via Tractable Dependent Predictions. CoRR Stratis Markou, James Requeima, Wessel P. Bruinsma, Anna Vaughan, Richard E. Turner
2021	J	`jnl`	Efficient Gaussian Neural Processes for Regression. CoRR Stratis Markou, James Requeima, Wessel P. Bruinsma, Richard E. Turner
2021	J	`jnl`	The Gaussian Neural Process. CoRR Wessel P. Bruinsma, James Requeima, Andrew Y. K. Foong, Jonathan Gordon, Richard E. Turner
2020	A*	`conf`	Convolutional Conditional Neural Processes. ICLR Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner
2020	A*	`conf`	Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. NeurIPS Andrew Y. K. Foong, Wessel P. Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard E. Turner
2020	J	`jnl`	Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. CoRR Andrew Y. K. Foong, Wessel P. Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard E. Turner
2020	A*	`conf`	TaskNorm: Rethinking Batch Normalization for Meta-Learning. ICML John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner
2020	J	`jnl`	TaskNorm: Rethinking Batch Normalization for Meta-Learning. CoRR John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner
2019	J	`jnl`	Convolutional Conditional Neural Processes. CoRR Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner
2019	J	`jnl`	Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes. CoRR James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner
2019	A*	`conf`	Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes. NeurIPS James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner
2019	A	`conf`	The Gaussian Process Autoregressive Regression Model (GPAR). AISTATS James Requeima, William Tebbutt, Wessel P. Bruinsma, Richard E. Turner
2017	A*	`conf`	Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space. ICML José Miguel Hernández-Lobato, James Requeima, Edward O. Pyzer-Knapp, Alán Aspuru-Guzik