Paris Perdikaris
10 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (6) π Interdisciplinary Bridge
π
Grand Slam
π
Century Club
(10)
π₯
Unstoppable
(5)
Conferences
NIPS (3)
ICLR (2)
ICML (2)
JMLR (2)
AAAI (1)
Top co-authors
Keywords
partial differential equation
(7)
operator learning
(3)
discretization invariant
(2)
functional datum
(2)
physics-informed neural network
(2)
fluid dynamics
(2)
function space
(1)
gradient descent
(1)
nonlinear manifold
(1)
diffusion model
(1)
variational autoencoder
(1)
physics-informed learning
(1)
latent space
(1)
neural operator
(1)
residual connection
(1)
score-based model
(1)
score-based diffusion
(1)
data assimilation
(1)
autoregressive sampling
(1)
neural pde solver
(1)
Papers
PhysicsCorrect: A Training-Free Approach for Stable Neural PDE Simulations
AAAI 2026
Deep Learning Alternatives Of The Kolmogorov Superposition Theorem
ICLR 2025
CViT: Continuous Vision Transformer for Operator Learning
ICLR 2025
On conditional diffusion models for PDE simulations
NIPS 2024
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
JMLR 2024
Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling
ICML 2023
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
NIPS 2023
Variational Autoencoding Neural Operators
ICML 2023
Learning Operators with Coupled Attention
JMLR 2022
NOMAD: Nonlinear Manifold Decoders for Operator Learning
NIPS 2022