Patrick Gallinari

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

Achievements

+11 more ↓

🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (17) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird

🌍 Conference Polyglot (11) 🗺️ Taxonomy Completionist (17) 🧭 Keyword Pioneer 👑 Triple Crown 🏆 Keyword Champion 📈 Trend Setter 🚀 Conference Pioneer 🔥 Unstoppable (8) ⚡ Prolific Year (6) 🗃️ Keyword Collector (163) 💎 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 Bézenac (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