Przemysław Spurek
16 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(8)
🤝
Dynamic Duo
(11)
🏆
Grand Slam
🧬
Topic Evolution
🗃️
Keyword Collector
(64)
💎
Century Club
(15)
🔥
Unstoppable
(6)
Conferences
ICML (4)
AAAI (3)
NIPS (3)
WACV (2)
AISTATS (1)
ICLR (1)
JMLR (1)
MICCAI (1)
Top co-authors
Keywords
few-shot learning
(3)
generative model
(2)
neural network
(2)
image classification
(1)
catastrophic forgetting
(1)
semantic segmentation
(1)
continual learning
(1)
variational inference
(1)
bayesian learning
(1)
density estimation
(1)
prototype learning
(1)
point cloud generation
(1)
model evaluation
(1)
3d vision
(1)
gaussian splatting
(1)
explainable ai
(1)
neural network optimization
(1)
gaussian process
(1)
nearest neighbor
(1)
3d reconstruction
(1)
Papers
EPIC: Explanation of Pretrained Image Classification Networks via Prototypes
AAAI 2026
PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy
MICCAI 2025
MiraGe: Editable 2D Images using Gaussian Splatting
ICML 2025
Hypernetwork Approach to Bayesian MAML (Student Abstract)
AAAI 2025
FreSh: Frequency Shifting for Accelerated Neural Representation Learning
ICLR 2025
D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup
NIPS 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
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
ICML 2022
Continual Learning with Guarantees via Weight Interval Constraints
ICML 2022
Non-Gaussian Gaussian Processes for Few-Shot Regression
NIPS 2021
Cramer-Wold Auto-Encoder
JMLR 2020
Hypernetwork approach to generating point clouds
ICML 2020
Processing of missing data by neural networks
NIPS 2018