Ardavan Saeedi
13 papers · 2011–2025 · 11 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Grand Slam
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(60)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(7)
Artificial Intelligence
(5)
Healthcare & Medicine
(4)
Core AI
(4)
Deep Learning
(3)
Clinical
(3)
Learning Types Β· Machine Learning
(3)
Computer Vision
(2)
Data Science & Analytics
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Learning Types Β· Deep Learning
(2)
Methods
(2)
Models
(2)
Keywords
state space model
(2)
time series
(2)
bayesian inference
(2)
variational inference
(2)
binary classification
(1)
clinical outcome prediction
(1)
deep reinforcement learning
(1)
knowledge distillation
(1)
bayesian nonparametrics
(1)
in-context learning
(1)
model evaluation
(1)
named entity recognition
(1)
noisy label learning
(1)
constrained inference
(1)
posterior distribution
(1)
hierarchical reinforcement learning
(1)
stochastic processes
(1)
partition function
(1)
label noise
(1)
model compression
(1)
Papers
LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity Recognition
EMNLP 2025
Switching State Space Modeling via Constrained Inference for Clinical Outcome Prediction
MLHC 2025
Knowledge Distillation via Constrained Variational Inference
AAAI 2022
Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth
ICLR 2020
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion
CVPR 2019
ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations
ECCV 2018
Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
AISTATS 2018
Variational Particle Approximations
JMLR 2017
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
NeurIPS 2016
Nonparametric Spherical Topic Modeling with Word Embeddings
ACL 2016
The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM
ICML 2016
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes
ICML 2015
Priors over Recurrent Continuous Time Processes
NeurIPS 2011