Gaurav Gupta
11 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Machine Learning
(10)
Artificial Intelligence
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(6)
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(5)
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Learning Types Β· Machine Learning
(4)
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Keywords
partial differential equation
(5)
neural operator
(4)
operator learning
(2)
uncertainty quantification
(2)
self-supervised learning
(1)
question answering
(1)
sentiment analysis
(1)
code generation
(1)
multimodal learning
(1)
face recognition
(1)
privacy preservation
(1)
function space
(1)
pretraining
(1)
time series forecasting
(1)
latent representation
(1)
variance reduction
(1)
prompt engineering
(1)
adversarial perturbation
(1)
information bottleneck
(1)
bayesian inference
(1)
Papers
Enhancing Language Model Agents using Diversity of Thoughts
ICLR 2025
Collage: Light-Weight Low-Precision Strategy for LLM Training
ICML 2024
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
ICLR 2024
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs
ICML 2024
Coupled Multiwavelet Operator Learning for Coupled Differential Equations
ICLR 2023
Guiding continuous operator learning through Physics-based boundary constraints
ICLR 2023
Learning Physical Models that Can Respect Conservation Laws
ICML 2023
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
ICML 2023
Non-Linear Operator Approximations for Initial Value Problems
ICLR 2022
Multiwavelet-based Operator Learning for Differential Equations
NeurIPS 2021
Anonymizing k Facial Attributes via Adversarial Perturbations
IJCAI 2018