James Requeima
12 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (18) π Conference Polyglot (4)
π
Academic Marathon
(8)
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Cross-Pollinator
(9)
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Triple Crown
π
Century Club
(12)
Conferences
ICLR (4)
ICML (4)
NIPS (3)
AISTATS (1)
Top co-authors
Keywords
active learning
(1)
image classification
(1)
continual learning
(1)
multi-task learning
(1)
few-shot learning
(1)
probabilistic modeling
(1)
transfer learning
(1)
bayesian inference
(1)
batch normalization
(1)
maximum likelihood
(1)
gaussian process
(1)
multi-output regression
(1)
parallel optimization
(1)
bayesian optimization
(1)
thompson sampling
(1)
autoregressive model
(1)
convolutional neural network
(1)
chemical space exploration
(1)
predictive distribution
(1)
scalable model
(1)
Papers
A Meta-Learning Approach to Bayesian Causal Discovery
ICLR 2025
Context is Key: A Benchmark for Forecasting with Essential Textual Information
ICML 2025
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
NIPS 2024
Translation Equivariant Transformer Neural Processes
ICML 2024
Autoregressive Conditional Neural Processes
ICLR 2023
Practical Conditional Neural Process Via Tractable Dependent Predictions
ICLR 2022
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
NIPS 2020
Convolutional Conditional Neural Processes
ICLR 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning
ICML 2020
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes
NIPS 2019
The Gaussian Process Autoregressive Regression Model (GPAR)
AISTATS 2019
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
ICML 2017