Alexander Lerchner
10 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (8)
🐝
Cross-Pollinator
(14)
🌈
Renaissance Researcher
(5)
🌉
Interdisciplinary Bridge
🌱
Topic Pioneer
🧬
Topic Evolution
📈
Trend Setter
🚀
Conference Pioneer
🔥
Unstoppable
(5)
💎
Century Club
(10)
Conferences
ICML (3)
ICCV (2)
ICLR (2)
NIPS (2)
CVPR (1)
Top co-authors
Keywords
disentangled representation
(4)
representation learning
(3)
view synthesis
(2)
self-supervised learning
(2)
variational inference
(2)
instance segmentation
(1)
depth estimation
(1)
vision transformer
(1)
video prediction
(1)
catastrophic forgetting
(1)
scene understanding
(1)
image reconstruction
(1)
minimum description length
(1)
variational approach
(1)
scene segmentation
(1)
domain adaptation
(1)
object segmentation
(1)
temporal abstraction
(1)
diffusion model
(1)
reinforcement learning
(1)
Papers
LayerLock: Non-collapsing Representation Learning with Progressive Freezing
ICCV 2025
Leveraging VLM-Based Pipelines to Annotate 3D Objects
ICML 2024
SODA: Bottleneck Diffusion Models for Representation Learning
CVPR 2024
PARTS: Unsupervised Segmentation With Slots, Attention and Independence Maximization
ICCV 2021
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
NIPS 2021
Unsupervised Model Selection for Variational Disentangled Representation Learning
ICLR 2020
Multi-Object Representation Learning with Iterative Variational Inference
ICML 2019
SCAN: Learning Hierarchical Compositional Visual Concepts
ICLR 2018
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
NIPS 2018
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
ICML 2017