Dmitry Molchanov
8 papers · 2017–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (16) π Interdisciplinary Bridge π Conference Polyglot (6)
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Academic Marathon
(8)
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Cross-Pollinator
(5)
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Renaissance Researcher
(5)
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Grand Slam
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Trend Setter
Conferences
ICLR (2)
NIPS (2)
AAAI (1)
AISTATS (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
model compression
(2)
generative modeling
(1)
image classification
(1)
probabilistic modeling
(1)
variational inference
(1)
bayesian inference
(1)
data augmentation
(1)
text generation
(1)
automatic relevance determination
(1)
policy search
(1)
model pruning
(1)
structured sparsity
(1)
posterior approximation
(1)
diffusion model
(1)
variational autoencoder
(1)
language model
(1)
text encoding
(1)
domain shift
(1)
transformer decoder
(1)
evidence lower bound
(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
NIPS 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
Variance Networks: When Expectation Does Not Meet Your Expectations
ICLR 2019
Doubly Semi-Implicit Variational Inference
AISTATS 2019
Variational Dropout Sparsifies Deep Neural Networks
ICML 2017
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
NIPS 2017