Joshua Robinson
12 papers · 2019–2025 · 6 venues · across top CS/AI venues
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graph neural network
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feature engineering
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relational database
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in-context learning
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functional connectivity
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few-shot learning
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prompt engineering
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multimodal learning
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language modeling
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Papers
Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings
ICLR 2025
Zero-Shot Generalization of GNNs over Distinct Attribute Domains
ICML 2025
On Retrieval Augmentation and the Limitations of Language Model Training
NAACL 2024
On the Stability of Expressive Positional Encodings for Graphs
ICLR 2024
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
ICML 2024
RelBench: A Benchmark for Deep Learning on Relational Databases
NeurIPS 2024
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
ICLR 2024
Leveraging Large Language Models for Multiple Choice Question Answering
ICLR 2023
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels
ACL 2022
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations
MIDL 2021
Strength from Weakness: Fast Learning Using Weak Supervision
ICML 2020
Flexible Modeling of Diversity with Strongly Log-Concave Distributions
NeurIPS 2019