Erik Nijkamp
15 papers · 2017–2023 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π§¬
Topic Evolution
π€
Dynamic Duo
(11)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(70)
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Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(11)
Models
(9)
Learning Types Β· Machine Learning
(7)
Optimization & Theory
(7)
Core Methods
(5)
Artificial Intelligence
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Analysis
(2)
Architectures
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Keywords
energy-based model
(8)
generative model
(7)
markov chain monte carlo
(5)
maximum likelihood learning
(2)
anomaly detection
(2)
mcmc sampling
(2)
latent space
(2)
langevin dynamics
(2)
variational autoencoder
(2)
variational inference
(2)
maximum likelihood
(2)
adversarial learning
(2)
latent variable model
(2)
flow-based model
(2)
image generation
(2)
language modeling
(1)
dialogue generation
(1)
semi-supervised learning
(1)
object detection
(1)
representation learning
(1)
Papers
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
ICLR 2023
Long Document Summarization with Top-down and Bottom-up Inference
EACL 2023
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
NeurIPS 2022
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC
ICLR 2022
Generative Text Modeling through Short Run Inference
EACL 2021
SCRIPT: Self-Critic PreTraining of Transformers
NAACL 2021
Flow Contrastive Estimation of Energy-Based Models
CVPR 2020
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model
CVPR 2020
Learning Latent Space Energy-Based Prior Model
NeurIPS 2020
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference
ECCV 2020
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
AAAI 2020
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation
ACL 2020
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model
CVPR 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
NeurIPS 2019
Generative Hierarchical Learning of Sparse FRAME Models
CVPR 2017