Siddhartha Mishra
20 papers · 2021–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Conference Polyglot (7)
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Cross-Pollinator
(10)
π§
Keyword Pioneer
π₯
Mega-Team
(35)
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Triple Crown
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Keyword Champion
(2)
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Grand Slam
ποΈ
Keyword Collector
(73)
β‘
Prolific Year
(6)
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Century Club
(20)
Conferences
NIPS (7)
ICLR (5)
ICML (4)
AAAI (1)
ACL (1)
EMNLP (1)
JMLR (1)
Top co-authors
Keywords
partial differential equation
(7)
operator learning
(6)
neural operator
(3)
gradient propagation
(2)
fourier neural operator
(2)
universal approximation
(2)
foundation model
(2)
natural language processing
(1)
transfer learning
(1)
zero-shot learning
(1)
in-context learning
(1)
instruction following
(1)
deep learning
(1)
curse of dimensionality
(1)
graph representation learning
(1)
model selection
(1)
amortized inference
(1)
approximation error
(1)
inverse problem
(1)
graph learning
(1)
Papers
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
NIPS 2024
Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
ICML 2024
An operator preconditioning perspective on training in physics-informed machine learning
ICLR 2024
FUSE: Fast Unified Simulation and Estimation for PDEs
NIPS 2024
Poseidon: Efficient Foundation Models for PDEs
NIPS 2024
Convolutional Neural Operators for robust and accurate learning of PDEs
NIPS 2023
Neural Oscillators are Universal
NIPS 2023
Gradient Gating for Deep Multi-Rate Learning on Graphs
ICLR 2023
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
ICLR 2023
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
NIPS 2023
Neural Inverse Operators for Solving PDE Inverse Problems
ICML 2023
Graph-Coupled Oscillator Networks
ICML 2022
Generic bounds on the approximation error for physics-informed (and) operator learning
NIPS 2022
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity
AAAI 2022
Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings
ACL 2022
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
EMNLP 2022
Long Expressive Memory for Sequence Modeling
ICLR 2022
On Universal Approximation and Error Bounds for Fourier Neural Operators
JMLR 2021
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
ICLR 2021
UnICORNN: A recurrent model for learning very long time dependencies
ICML 2021