Patrick Gallinari

Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts EMNLP 2025 Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods ICLR 2025 MEXMA: Token-level objectives improve sentence representations ACL 2025 Mixture of Languages: Improved Multilingual Encoders Through Language Grouping EMNLP 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 AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields NeurIPS 2024 Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning NeurIPS 2024 LOCOST: State-Space Models for Long Document Abstractive Summarization EACL 2024 Probing Language Models on Their Knowledge Source EMNLP 2024 Continuous PDE Dynamics Forecasting with Implicit Neural Representations ICLR 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 NeurIPS 2023 Operator Learning with Neural Fields: Tackling PDEs on General Geometries NeurIPS 2023 AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions NeurIPS 2022 A Neural Tangent Kernel Perspective of GANs ICML 2022 Constrained Physical-Statistics Models for Dynamical System Identification and Prediction ICLR 2022 Deep Learning for Model Correction in Cardiac Electrophysiological Imaging MIDL 2022 Diverse Weight Averaging for Out-of-Distribution Generalization NeurIPS 2022 Generalizing to New Physical Systems via Context-Informed Dynamics Model ICML 2022 Mapping conditional distributions for domain adaptation under generalized target shift ICLR 2022 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 LEADS: Learning Dynamical Systems that Generalize Across Environments NeurIPS 2021 PDE-Driven Spatiotemporal Disentanglement ICLR 2021 QuestEval: Summarization Asks for Fact-based Evaluation EMNLP 2021 Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction EMNLP 2021 Let’s Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP 2020 Normalizing Kalman Filters for Multivariate Time Series Analysis NeurIPS 2020 Stochastic Latent Residual Video Prediction ICML 2020 Context-Aware Zero-Shot Learning for Object Recognition ICML 2019 Incorporating Visual Semantics into Sentence Representations within a Grounded Space EMNLP 2019 Unsupervised Adversarial Image Reconstruction ICLR 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 NeurIPS 2013 On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NeurIPS 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