Alexander Ilin
13 papers · 2009–2024 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Champion
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Trend Setter
β
The Questioner
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(79)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Core AI
(7)
Learning Types
(6)
Reinforcement Learning
(5)
Deep Learning
(4)
Applications
(3)
Core Methods
(3)
Methods
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Natural Language Processing
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Generation
(2)
Keywords
model-based reinforcement learning
(3)
bayesian inference
(2)
compositional generalization
(2)
spatio-temporal modeling
(2)
gaussian process
(2)
sea surface temperature
(2)
principal component analysis
(1)
variational inference
(1)
sample efficiency
(1)
style transfer
(1)
in-context learning
(1)
speech synthesis
(1)
code generation
(1)
hierarchical planning
(1)
temporal modeling
(1)
vector quantization
(1)
gaussian processes
(1)
variational bayesian
(1)
value iteration
(1)
semi-supervised learning
(1)
Papers
Can docstring reformulation with an LLM improve code generation?
EACL 2024
Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning
EMNLP 2024
Hierarchical Imitation Learning with Vector Quantized Models
ICML 2023
Hybrid Search for Efficient Planning with Completeness Guarantees
NeurIPS 2023
Reader: Model-based language-instructed reinforcement learning
EMNLP 2023
Compositional Generalization in Grounded Language Learning via Induced Model Sparsity
NAACL 2022
Conditional Spoken Digit Generation with StyleGAN
Interspeech 2020
Regularizing Model-Based Planning with Energy-Based Models
CoRL 2019
Regularizing Trajectory Optimization with Denoising Autoencoders
NeurIPS 2019
Recurrent Ladder Networks
NeurIPS 2017
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling
AISTATS 2012
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
JMLR 2010
Variational Gaussian-process factor analysis for modeling spatio-temporal data
NeurIPS 2009