Enric Boix-Adsera
8 papers · 2019–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
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The Questioner
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Architectures
(4)
Optimization & Theory · Machine Learning
(4)
Optimization & Theory · Deep Learning
(4)
Artificial Intelligence
(3)
Core AI
(3)
Computer Science
(1)
Mathematics & Optimization
(1)
Applications
(1)
Core Methods
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Keywords
neural network
(4)
gradient descent
(3)
transformer architecture
(1)
learning theory
(1)
stochastic gradient descent
(1)
metric learning
(1)
optimal transport
(1)
maximum likelihood
(1)
prompt engineering
(1)
fourier analysis
(1)
deep learning
(1)
neural network optimization
(1)
out-of-distribution generalization
(1)
relational reasoning
(1)
hierarchical learning
(1)
representation learning
(1)
experimental design
(1)
linear programming
(1)
hierarchical structure
(1)
active learning
(1)
Papers
Prompts have evil twins
EMNLP 2024
When can transformers reason with abstract symbols?
ICLR 2024
Transformers learn through gradual rank increase
NeurIPS 2023
GULP: a prediction-based metric between representations
NeurIPS 2022
On the non-universality of deep learning: quantifying the cost of symmetry
NeurIPS 2022
The staircase property: How hierarchical structure can guide deep learning
NeurIPS 2021
Wasserstein barycenters can be computed in polynomial time in fixed dimension
JMLR 2021
Sample Efficient Active Learning of Causal Trees
NeurIPS 2019