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Siddhartha Mishra

20 papers · 2021–2024 · 7 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (7)
🐝 Cross-Pollinator (10) 🧭 Keyword Pioneer πŸ‘₯ Mega-Team (35) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (73) ⚑ Prolific Year (6) πŸ’Ž Century Club (20)

Conferences

NIPS (7) ICLR (5) ICML (4) AAAI (1) ACL (1) EMNLP (1) JMLR (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