Przemysław Spurek
17 papers · 2018–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (27) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(13)
🏆
Grand Slam
🧬
Topic Evolution
💎
Century Club · Bronze
🗃️
Keyword Collector
(79)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(9)
Artificial Intelligence
(6)
Core Methods
(6)
Models
(6)
Computer Vision
(4)
Generation
(4)
Learning Paradigms
(4)
Architectures
(3)
Learning Types · Deep Learning
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory
(3)
Core AI
(2)
Analysis
(1)
Bayesian & Probabilistic
(1)
Keywords
few-shot learning
(3)
neural network
(2)
generative model
(2)
gaussian splatting
(2)
catastrophic forgetting
(1)
semantic segmentation
(1)
image classification
(1)
bayesian learning
(1)
continual learning
(1)
density estimation
(1)
hyperparameter optimization
(1)
prototype learning
(1)
point cloud generation
(1)
model evaluation
(1)
explainable ai
(1)
variational inference
(1)
image reconstruction
(1)
text-to-image generation
(1)
3d vision
(1)
3d reconstruction
(1)
Papers
EPIC: Explanation of Pretrained Image Classification Networks via Prototypes
AAAI 2026
UnGuide: Learning to Forget with LoRA-Guided Diffusion Models
UAI 2026
FreSh: Frequency Shifting for Accelerated Neural Representation Learning
ICLR 2025
Hypernetwork Approach to Bayesian MAML (Student Abstract)
AAAI 2025
MiraGe: Editable 2D Images using Gaussian Splatting
ICML 2025
PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy
MICCAI 2025
D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup
NeurIPS 2024
Face Identity-Aware Disentanglement in StyleGAN
WACV 2024
HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract)
AAAI 2024
Bounding Evidence and Estimating Log-Likelihood in VAE
AISTATS 2023
HyperShot: Few-Shot Learning by Kernel HyperNetworks
WACV 2023
Continual Learning with Guarantees via Weight Interval Constraints
ICML 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
ICML 2022
Non-Gaussian Gaussian Processes for Few-Shot Regression
NeurIPS 2021
Cramer-Wold Auto-Encoder
JMLR 2020
Hypernetwork approach to generating point clouds
ICML 2020
Processing of missing data by neural networks
NeurIPS 2018