Yeshwanth Cherapanamjeri
15 papers · 2017–2025 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (29) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Keyword Champion
(2)
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Keyword Collector
(82)
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Trend Setter
💎
Century Club · Bronze
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Unstoppable · Bronze
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(9)
Core Methods
(6)
Mathematics & Optimization
(5)
Learning Types · Machine Learning
(4)
Mathematics
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(3)
Computer Science
(2)
Application Areas
(2)
Architectures
(2)
Foundations
(2)
Optimization
(2)
Learning Types · Deep Learning
(1)
Keywords
mean estimation
(3)
adversarial example
(2)
random networks
(2)
covariance estimation
(2)
transformer model
(2)
vc dimension
(2)
neural network theory
(1)
gradient descent
(1)
sample complexity
(1)
locality sensitive hashing
(1)
spectral analysis
(1)
distance estimation
(1)
robust pca
(1)
markov chain
(1)
nearest neighbor search
(1)
robust estimation
(1)
kernel density estimation
(1)
matrix completion
(1)
linear regression
(1)
model interpretability
(1)
Papers
Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
ICLR 2025
Heavy-tailed Estimation is Easier than Adversarial Contamination
COLT 2025
How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion.
ICLR 2025
The Space Complexity of Learning-Unlearning Algorithms (extended abstract)
COLT 2025
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
ICLR 2024
Robust Algorithms on Adaptive Inputs from Bounded Adversaries
ICLR 2023
The One-Inclusion Graph Algorithm is not Always Optimal
COLT 2023
Optimal Mean Estimation without a Variance
COLT 2022
Adversarial Examples in Multi-Layer Random ReLU Networks
NeurIPS 2021
A single gradient step finds adversarial examples on random two-layers neural networks
NeurIPS 2021
On Adaptive Distance Estimation
NeurIPS 2020
Fast Mean Estimation with Sub-Gaussian Rates
COLT 2019
Testing Symmetric Markov Chains Without Hitting
COLT 2019
Nearly Optimal Robust Matrix Completion
ICML 2017
Thresholding Based Outlier Robust PCA
COLT 2017