Kyle Hsu
11 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (7) π Academic Marathon (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (19)
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(5)
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Mega-Team
(98)
π₯
Unstoppable
(5)
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Century Club
(11)
Conferences
ICLR (3)
NIPS (3)
AISTATS (1)
CORL (1)
ICCV (1)
ICML (1)
RSS (1)
Top co-authors
Keywords
representation learning
(2)
stochastic gradient
(1)
reinforcement learning
(1)
variational inference
(1)
bayesian inference
(1)
density estimation
(1)
curriculum learning
(1)
visual navigation
(1)
marginal likelihood
(1)
posterior distribution
(1)
kullback-leibler divergence
(1)
differentiable programming
(1)
generalization ability
(1)
prior distribution
(1)
robot manipulation
(1)
annealed importance sampling
(1)
generative model
(1)
generalization bound
(1)
pac-bayes bound
(1)
disentangled representation
(1)
Papers
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization
ICCV 2025
Range, not Independence, Drives Modularity in Biologically Inspired Representations
ICLR 2025
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
RSS 2024
Evaluating Real-World Robot Manipulation Policies in Simulation
CORL 2024
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
ICML 2024
Disentanglement via Latent Quantization
NIPS 2023
Vision-Based Manipulators Need to Also See from Their Hands
ICLR 2022
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
NIPS 2021
On the Role of Data in PAC-Bayes Bounds
AISTATS 2021
Unsupervised Learning via Meta-Learning
ICLR 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning
NIPS 2019