Alexander Lin
5 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (10) π£ Hot Topic Early Bird
π
Conference Pioneer
Top co-authors
Research topics
Keywords
model compression
(1)
dirichlet process
(1)
bayesian nonparametrics
(1)
imitation learning
(1)
knowledge distillation
(1)
expectation maximization
(1)
task-oriented dialogue
(1)
intent classification
(1)
time series
(1)
particle filter
(1)
mcmc sampling
(1)
monte carlo sampling
(1)
maximum likelihood estimation
(1)
state space model
(1)
language generation
(1)
latent gaussian model
(1)
exposure bia
(1)
dialogue system
(1)
action state tracking
(1)
customer support
(1)
Papers
A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors
MICCAI 2024
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
ICML 2023
Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems
NAACL 2021
Autoregressive Knowledge Distillation through Imitation Learning
EMNLP 2020
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach
AISTATS 2019