Luca Franceschi
12 papers · 2017–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
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Renaissance Researcher
(5)
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Research topics
Machine Learning
(10)
Artificial Intelligence
(7)
Optimization & Theory
(6)
Deep Learning
(5)
Core Methods
(5)
Learning Paradigms
(4)
Core AI
(3)
Architectures
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Computer Science
(1)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Keywords
hyperparameter optimization
(4)
bilevel optimization
(2)
graph neural network
(2)
implicit differentiation
(2)
graph structure learning
(2)
code retrieval
(1)
causal discovery
(1)
multi-task learning
(1)
maximum likelihood
(1)
dense retrieval
(1)
message passing
(1)
gradient descent
(1)
transfer learning
(1)
maximum likelihood estimation
(1)
gradient estimation
(1)
continuous optimization
(1)
few-shot learning
(1)
online algorithm
(1)
entity embedding
(1)
stochastic gradient descent
(1)
Papers
CoRet: Improved Retriever for Code Editing
ACL 2025
Explaining Probabilistic Models with Distributional Values
ICML 2024
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
AAAI 2023
DAG Learning on the Permutahedron
ICLR 2023
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
NeurIPS 2022
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
NeurIPS 2021
Marthe: Scheduling the Learning Rate Via Online Hypergradients
IJCAI 2020
On the Iteration Complexity of Hypergradient Computation
ICML 2020
Learning Discrete Structures for Graph Neural Networks
ICML 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
ICML 2018
A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion
Interspeech 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization
ICML 2017