Adrià Garriga-Alonso
10 papers · 2019–2025 · 3 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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🗺️ Taxonomy Completionist (25) 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze
🧬
Topic Evolution
🧭
Keyword Pioneer
🔥
Unstoppable · Bronze
🗃️
Keyword Collector
(53)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Deep Learning
(6)
Core AI
(6)
Machine Learning
(5)
Architectures
(3)
Optimization & Theory · Machine Learning
(3)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Optimization & Theory · Deep Learning
(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Learning Types · Machine Learning
(1)
Keywords
mechanistic interpretability
(3)
bayesian neural network
(2)
circuit discovery
(2)
neural network analysis
(2)
language model
(2)
convolutional neural network
(2)
policy optimization
(1)
reward modeling
(1)
image classification
(1)
concept representation
(1)
model behavior
(1)
model interpretability
(1)
reinforcement learning from human feedback
(1)
gaussian process
(1)
stochastic gradient descent
(1)
prior distribution
(1)
kl divergence
(1)
gaussian priors
(1)
heavy-tailed distribution
(1)
hypothesis testing
(1)
Papers
Interpreting Emergent Planning in Model-Free Reinforcement Learning
ICLR 2025
Analysing the Generalisation and Reliability of Steering Vectors
NeurIPS 2024
Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification
NeurIPS 2024
Hypothesis Testing the Circuit Hypothesis in LLMs
NeurIPS 2024
InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques
NeurIPS 2024
Towards Automated Circuit Discovery for Mechanistic Interpretability
NeurIPS 2023
Bayesian Neural Network Priors Revisited
ICLR 2022
Data augmentation in Bayesian neural networks and the cold posterior effect
UAI 2022
Correlated weights in infinite limits of deep convolutional neural networks
UAI 2021
Deep Convolutional Networks as shallow Gaussian Processes
ICLR 2019