← Authors

Patrick Gallinari

41 papers · 2006–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) πŸƒ Academic Marathon (19) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (11) πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (8) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (163) πŸ’Ž Century Club (41)

Conferences

NIPS (10) ICLR (9) EMNLP (8) ICML (5) JMLR (3) ACL (1) AISTATS (1) EACL (1) IJCNLP (1) MIDL (1) NAACL (1)

Top co-authors

Emmanuel de BΓ©zenac (9) Benjamin Piwowarski (9) Yuan Yin (7) Sylvain Lamprier (6) Laure Soulier (6) Ibrahim Ayed (5) Louis Serrano (4) Vincent Guigue (4) Jean-Yves Franceschi (4) Matthieu Kirchmeyer (4)

Keywords

multimodal learning (3) sentence representation (3) grounded space (2) quasi-newton method (2) surrogate model (2) neural network (2) text generation (2) few-shot learning (2) language grounding (2) large scale learning (2) named entity recognition (2) neural field (2) parametric knowledge (2) knowledge conflict (2) partial differential equation (2) relation extraction (2) stochastic gradient descent (2) temporal dynamics (2) domain generalization (2) visual semantics (2)

Papers

Mixture of Languages: Improved Multilingual Encoders Through Language Grouping EMNLP 2025
Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods ICLR 2025
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation ICLR 2025
Zebra: In-Context Generative Pretraining for Solving Parametric PDEs ICML 2025
MEXMA: Token-level objectives improve sentence representations ACL 2025
Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts EMNLP 2025
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning NIPS 2024
LOCOST: State-Space Models for Long Document Abstractive Summarization EACL 2024
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields NIPS 2024
Probing Language Models on Their Knowledge Source EMNLP 2024
Continuous PDE Dynamics Forecasting with Implicit Neural Representations ICLR 2023
Operator Learning with Neural Fields: Tackling PDEs on General Geometries NIPS 2023
Learning from Multiple Sources for Data-to-Text and Text-to-Data AISTATS 2023
Module-wise Training of Neural Networks via the Minimizing Movement Scheme NIPS 2023
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions NIPS 2022
Diverse Weight Averaging for Out-of-Distribution Generalization NIPS 2022
Mapping conditional distributions for domain adaptation under generalized target shift ICLR 2022
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction ICLR 2022
A Neural Tangent Kernel Perspective of GANs ICML 2022
Generalizing to New Physical Systems via Context-Informed Dynamics Model ICML 2022
Deep Learning for Model Correction in Cardiac Electrophysiological Imaging MIDL 2022
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction EMNLP 2021
LEADS: Learning Dynamical Systems that Generalize Across Environments NIPS 2021
PDE-Driven Spatiotemporal Disentanglement ICLR 2021
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting ICLR 2021
Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation EMNLP 2021
QuestEval: Summarization Asks for Fact-based Evaluation EMNLP 2021
Normalizing Kalman Filters for Multivariate Time Series Analysis NIPS 2020
Stochastic Latent Residual Video Prediction ICML 2020
Let’s Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP 2020
Incorporating Visual Semantics into Sentence Representations within a Grounded Space EMNLP 2019
Unsupervised Adversarial Image Reconstruction ICLR 2019
Context-Aware Zero-Shot Learning for Object Recognition ICML 2019
Incorporating Visual Semantics into Sentence Representations within a Grounded Space IJCNLP 2019
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge ICLR 2018
Profile-Based Bandit with Unknown Profiles JMLR 2018
Robust Bloom Filters for Large MultiLabel Classification Tasks NIPS 2013
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NIPS 2012
Erratum: SGDQN is Less Careful than Expected JMLR 2010
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent JMLR 2009
A Machine Learning based Approach to Evaluating Retrieval Systems NAACL 2006