Dmitry Baranchuk
13 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (12)
🏃
Academic Marathon
(8)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(12)
🔥
Unstoppable
(5)
💎
Century Club
(13)
🚀
Conference Pioneer
🗃️
Keyword Collector
(52)
Conferences
ICML (3)
ICLR (2)
NIPS (2)
ACL (1)
AISTATS (1)
CVPR (1)
ECCV (1)
ICCV (1)
WACV (1)
Top co-authors
Keywords
diffusion model
(4)
nearest neighbor search
(2)
large language model
(2)
image generation
(2)
similarity search
(1)
text-to-image synthesis
(1)
zero-shot learning
(1)
image reconstruction
(1)
probabilistic modeling
(1)
image editing
(1)
text-to-image generation
(1)
graph structure
(1)
distributed computing
(1)
texture synthesis
(1)
distributed inference
(1)
distributed learning
(1)
gaussian process
(1)
generative model
(1)
knowledge distillation
(1)
dimensionality reduction
(1)
Papers
CasTex: Cascaded Text-to-Texture Synthesis via Explicit Texture Maps and Physically-Based Shading
WACV 2026
Inverse Bridge Matching Distillation
ICML 2025
Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models
CVPR 2024
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
NIPS 2024
DEDRIFT: Robust Similarity Search under Content Drift
ICCV 2023
Petals: Collaborative Inference and Fine-tuning of Large Models
ACL 2023
Distributed Inference and Fine-tuning of Large Language Models Over The Internet
NIPS 2023
TabDDPM: Modelling Tabular Data with Diffusion Models
ICML 2023
Graph-based Nearest Neighbor Search in Hyperbolic Spaces
ICLR 2022
Label-Efficient Semantic Segmentation with Diffusion Models
ICLR 2022
GP-VAE: Deep Probabilistic Time Series Imputation
AISTATS 2020
Learning to Route in Similarity Graphs
ICML 2019
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors
ECCV 2018