Michal Rolinek
12 papers · 2018–2021 · 7 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
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (25) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (10)
π€
Dynamic Duo
(10)
π§
Keyword Pioneer
π
Renaissance Researcher
(6)
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(62)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(10)
Deep Learning
(5)
Computer Vision
(4)
Analysis
(3)
Core Methods
(3)
Artificial Intelligence
(2)
Reinforcement Learning
(2)
Core AI
(2)
Methods
(2)
Models
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Keywords
disentangled representation
(2)
variational autoencoder
(2)
model-based reinforcement learning
(2)
combinatorial optimization
(2)
average precision
(2)
feature extraction
(1)
black-box optimization
(1)
representation learning
(1)
model-based learning
(1)
object detection
(1)
information retrieval
(1)
deep learning
(1)
message passing
(1)
gradient descent
(1)
stochastic gradient descent
(1)
differentiable programming
(1)
image retrieval
(1)
learning to rank
(1)
step size adaptation
(1)
trajectory optimization
(1)
Papers
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
ICML 2021
Demystifying Inductive Biases for (Beta-)VAE Based Architectures
ICML 2021
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
ICCV 2021
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
ICML 2021
Planning from Pixels in Environments with Combinatorially Hard Search Spaces
NeurIPS 2021
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
ECCV 2020
Differentiation of Blackbox Combinatorial Solvers
ICLR 2020
Optimizing Rank-Based Metrics With Blackbox Differentiation
CVPR 2020
Sample-efficient Cross-Entropy Method for Real-time Planning
CoRL 2020
Variational Autoencoders Pursue PCA Directions (by Accident)
CVPR 2019
Efficient Optimization for Rank-Based Loss Functions
CVPR 2018
L4: Practical loss-based stepsize adaptation for deep learning
NeurIPS 2018