Luca Franceschi
12 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (8)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(8)
🐝
Cross-Pollinator
(8)
🏆
Grand Slam
💎
Century Club
(12)
🔥
Unstoppable
(9)
Conferences
ICML (5)
NIPS (2)
AAAI (1)
ACL (1)
ICLR (1)
IJCAI (1)
INTERSPEECH (1)
Top co-authors
Keywords
hyperparameter optimization
(4)
graph neural network
(2)
implicit differentiation
(2)
bilevel optimization
(2)
code retrieval
(1)
gradient estimation
(1)
multi-task learning
(1)
message passing
(1)
transfer learning
(1)
gradient descent
(1)
maximum likelihood
(1)
maximum likelihood estimation
(1)
online algorithm
(1)
graph structure learning
(1)
dense retrieval
(1)
few-shot learning
(1)
entity embedding
(1)
semantic embedding
(1)
iteration complexity
(1)
stochastic gradient descent
(1)
Papers
CoRet: Improved Retriever for Code Editing
ACL 2025
Explaining Probabilistic Models with Distributional Values
ICML 2024
DAG Learning on the Permutahedron
ICLR 2023
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
AAAI 2023
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
NIPS 2022
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
NIPS 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
Forward and Reverse Gradient-Based Hyperparameter Optimization
ICML 2017
A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion
INTERSPEECH 2017