Yatin Dandi
11 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π Conference Polyglot (6)
π
Academic Marathon
(5)
π
Renaissance Researcher
(5)
π
Century Club
(11)
π₯
Unstoppable
(6)
π
Conference Pioneer
Conferences
ICML (4)
AAAI (2)
AISTATS (2)
JMLR (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
latent variable
(2)
stochastic gradient descent
(1)
feature learning
(1)
image generation
(1)
video generation
(1)
self-supervised learning
(1)
distributed learning
(1)
adversarial training
(1)
neural network optimization
(1)
empirical risk minimization
(1)
gradient descent
(1)
generalized linear model
(1)
implicit regularization
(1)
generative adversarial network
(1)
cycle consistency
(1)
gradient alignment
(1)
lazy regime
(1)
batch size
(1)
gaussian mixture
(1)
joint distribution matching
(1)
Papers
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
AISTATS 2025
Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds
ICML 2025
Fundamental computational limits of weak learnability in high-dimensional multi-index models
AISTATS 2025
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents
ICML 2024
Asymptotics of feature learning in two-layer networks after one gradient-step
ICML 2024
How Two-Layer Neural Networks Learn, One (Giant) Step at a Time
JMLR 2024
Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs
ICML 2024
Universality laws for Gaussian mixtures in generalized linear models
NIPS 2023
Implicit Gradient Alignment in Distributed and Federated Learning
AAAI 2022
Generalized Adversarially Learned Inference
AAAI 2021
Jointly Trained Image and Video Generation using Residual Vectors
WACV 2020