James Requeima
12 papers · 2017–2025 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze
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Topic Evolution
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Triple Crown
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(55)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Deep Learning
(8)
Machine Learning
(8)
Bayesian & Probabilistic
(5)
Core Methods
(4)
Learning Paradigms Β· Artificial Intelligence
(4)
Optimization & Theory
(4)
Architectures
(3)
Learning Paradigms Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Core AI
(2)
Learning Types Β· Machine Learning
(2)
Models
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Keywords
conditional neural process
(3)
translation equivariance
(3)
few-shot learning
(2)
maximum likelihood
(2)
neural process
(2)
probabilistic modeling
(2)
convolutional neural network
(2)
transfer learning
(1)
batch normalization
(1)
continual learning
(1)
function approximation
(1)
permutation equivariance
(1)
maximum likelihood estimation
(1)
gaussian process
(1)
causal discovery
(1)
posterior estimation
(1)
causal structure
(1)
decision making
(1)
multi-output regression
(1)
time series
(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
NeurIPS 2024
Translation Equivariant Transformer Neural Processes
ICML 2024
Autoregressive Conditional Neural Processes
ICLR 2023
Practical Conditional Neural Process Via Tractable Dependent Predictions
ICLR 2022
Convolutional Conditional Neural Processes
ICLR 2020
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
NeurIPS 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning
ICML 2020
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes
NeurIPS 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