Dmitry Molchanov
8 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird
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Grand Slam
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Keyword Pioneer
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(5)
Models
(5)
Artificial Intelligence
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Optimization & Theory
(3)
Bayesian & Probabilistic Β· Machine Learning
(2)
Core AI
(2)
Techniques
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
Generation
(1)
Keywords
model compression
(2)
image classification
(2)
ensemble learning
(1)
variational inference
(1)
automatic relevance determination
(1)
bayesian inference
(1)
text generation
(1)
posterior approximation
(1)
model architecture
(1)
deep learning
(1)
data augmentation
(1)
policy search
(1)
model pruning
(1)
structured sparsity
(1)
probabilistic modeling
(1)
diffusion model
(1)
adversarial defense
(1)
variational autoencoder
(1)
language model
(1)
generative modeling
(1)
Papers
TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings
AAAI 2025
Star-Shaped Denoising Diffusion Probabilistic Models
NeurIPS 2023
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation
UAI 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning
ICLR 2020
Doubly Semi-Implicit Variational Inference
AISTATS 2019
Variance Networks: When Expectation Does Not Meet Your Expectations
ICLR 2019
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
NeurIPS 2017
Variational Dropout Sparsifies Deep Neural Networks
ICML 2017