@patrickgallinari.bsky.social
"I am a professor at Sorbonne University, affiliated with the Institute of Intelligent Systems and Robotics (ISIR) laboratory, and a distinguished researcher at Criteo AI Lab in Paris. A pioneer in the field of neural networks, my research focuses on stati
Leveraging LLMs' in-context learning for modeling physical dynamics. Paper #ICML2025.
"Zebra: In-Context Generative Pretraining for Solving Parametric PDEs", Louis Serrano, Armand Kassai, Thomas Wang, Pierre ERBACHER, Patrick Gallinari
📄 arxiv.org/abs/2410.03437
🖥️ github.com/LouisSerrano...
"Zebra: In-Context Generative Pretraining for Solving Parametric PDEs", Louis Serrano, Armand Kassai, Thomas Wang, Pierre ERBACHER, Patrick Gallinari
📄 arxiv.org/abs/2410.03437
🖥️ github.com/LouisSerrano...
Zebra: In-Context Generative Pretraining for Solving Parametric PDEs
Solving time-dependent parametric partial differential equations (PDEs) is challenging for data-driven methods, as these models must adapt to variations in parameters such as coefficients, forcing ter...
arxiv.org
July 21, 2025 at 8:52 AM
Leveraging LLMs' in-context learning for modeling physical dynamics. Paper #ICML2025.
"Zebra: In-Context Generative Pretraining for Solving Parametric PDEs", Louis Serrano, Armand Kassai, Thomas Wang, Pierre ERBACHER, Patrick Gallinari
📄 arxiv.org/abs/2410.03437
🖥️ github.com/LouisSerrano...
"Zebra: In-Context Generative Pretraining for Solving Parametric PDEs", Louis Serrano, Armand Kassai, Thomas Wang, Pierre ERBACHER, Patrick Gallinari
📄 arxiv.org/abs/2410.03437
🖥️ github.com/LouisSerrano...
We're recruiting a PhD student in machine learning at Sorbonne University (Paris) for Fall 2025!
Topic: AI4Science & Generative Models
Title: Deep Generative Models of Physical Dynamics
🔗 pages.isir.upmc.fr/gallinari/op...
#PhDPosition #AI4Science #DeepLearning #PhysicsML
Topic: AI4Science & Generative Models
Title: Deep Generative Models of Physical Dynamics
🔗 pages.isir.upmc.fr/gallinari/op...
#PhDPosition #AI4Science #DeepLearning #PhysicsML
Open positions – ISIR – Patrick Gallinari
pages.isir.upmc.fr
May 26, 2025 at 3:50 PM
We're recruiting a PhD student in machine learning at Sorbonne University (Paris) for Fall 2025!
Topic: AI4Science & Generative Models
Title: Deep Generative Models of Physical Dynamics
🔗 pages.isir.upmc.fr/gallinari/op...
#PhDPosition #AI4Science #DeepLearning #PhysicsML
Topic: AI4Science & Generative Models
Title: Deep Generative Models of Physical Dynamics
🔗 pages.isir.upmc.fr/gallinari/op...
#PhDPosition #AI4Science #DeepLearning #PhysicsML
📢 #ICLR2025 The team will present 3 posters during the conference. Find below their scheduled poster sessions. Feel free to join and discuss about these works!
- "Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods" : Thu 24, 3 - 5:30pm
- "Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods" : Thu 24, 3 - 5:30pm
May 8, 2025 at 1:11 PM
#ICLR2025 recap' 🇸🇬
Great time at ICLR2025 for our team, who presented their work during the poster sessions!
➡️ SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation iclr.cc/virtual/2025...
Great time at ICLR2025 for our team, who presented their work during the poster sessions!
➡️ SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation iclr.cc/virtual/2025...
May 8, 2025 at 1:10 PM
Reposted
#ICLR2025 recap' 🇸🇬
Great time at ICLR2025 for our team, who presented their work during the poster sessions!
➡️ SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation iclr.cc/virtual/2025...
Great time at ICLR2025 for our team, who presented their work during the poster sessions!
➡️ SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation iclr.cc/virtual/2025...
May 5, 2025 at 12:34 PM
#ICLR2025 recap' 🇸🇬
Great time at ICLR2025 for our team, who presented their work during the poster sessions!
➡️ SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation iclr.cc/virtual/2025...
Great time at ICLR2025 for our team, who presented their work during the poster sessions!
➡️ SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation iclr.cc/virtual/2025...
December 14, 2024 at 9:49 PM
Two papers #NeurIPS2024 from my group on physics-aware ML
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields
openreview.net/pdf?id=Aj8RK...
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
openreview.net/pdf?id=GuY0z...
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields
openreview.net/pdf?id=Aj8RK...
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
openreview.net/pdf?id=GuY0z...
openreview.net
December 13, 2024 at 5:17 PM
Two papers #NeurIPS2024 from my group on physics-aware ML
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields
openreview.net/pdf?id=Aj8RK...
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
openreview.net/pdf?id=GuY0z...
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields
openreview.net/pdf?id=Aj8RK...
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
openreview.net/pdf?id=GuY0z...