Marcin Sendera
8 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(21)
Venues
Top co-authors
Research topics
Deep Learning
(7)
Artificial Intelligence
(5)
Machine Learning
(4)
Models
(4)
Architectures
(2)
Core AI
(2)
Learning Paradigms
(2)
Learning Types
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core Methods
(1)
Keywords
diffusion model
(4)
generative model
(2)
posterior inference
(2)
variational inference
(2)
few-shot learning
(2)
gaussian process
(2)
energy function
(1)
score matching
(1)
text-to-image generation
(1)
singular value decomposition
(1)
latent space
(1)
amortized inference
(1)
model selection
(1)
human feedback
(1)
normalizing flow
(1)
machine unlearning
(1)
offline reinforcement learning
(1)
energy-based model
(1)
reinforcement learning
(1)
wasserstein distance
(1)
Papers
Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models
ICML 2025
Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations
UAI 2025
SEMU: Singular Value Decomposition for Efficient Machine Unlearning
ICML 2025
Amortizing intractable inference in diffusion models for vision, language, and control
NeurIPS 2024
Improved off-policy training of diffusion samplers
NeurIPS 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
ICML 2024
HyperShot: Few-Shot Learning by Kernel HyperNetworks
WACV 2023
Non-Gaussian Gaussian Processes for Few-Shot Regression
NeurIPS 2021