Aditi Krishnapriyan
4 papers · 2021–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
🧭
Keyword Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Core Methods
(2)
Optimization
(2)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Probability
(1)
Keywords
differential equation
(2)
partial differential equation
(2)
variational inference
(2)
uncertainty quantification
(2)
loss landscape
(1)
gaussian process
(1)
spike-and-slab prior
(1)
kernel regression
(1)
sequence-to-sequence learning
(1)
physics-informed neural network
(1)
physics-informed learning
(1)
differentiable optimization
(1)
equation discovery
(1)
scientific machine learning
(1)
operator selection
(1)
implicit function theorem
(1)
hard constraint
(1)
curriculum regularization
(1)
dictionary learning
(1)
loss landscape optimization
(1)
Papers
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels
AISTATS 2024
Learning differentiable solvers for systems with hard constraints
ICLR 2023
AutoIP: A United Framework to Integrate Physics into Gaussian Processes
ICML 2022
Characterizing possible failure modes in physics-informed neural networks
NeurIPS 2021