Jonas Köhler
16 papers · 2016–2025 · 9 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Grand Slam
🚀
Conference Pioneer
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Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
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Top co-authors
Research topics
Deep Learning
(12)
Machine Learning
(12)
Models
(8)
Optimization & Theory · Machine Learning
(8)
Computer Vision
(5)
Artificial Intelligence
(4)
Architectures
(4)
Core AI
(4)
Generation
(4)
Optimization & Theory · Deep Learning
(4)
Application Areas
(3)
Techniques
(3)
Analysis
(2)
Core Methods
(2)
Computer Science
(1)
Keywords
normalizing flow
(4)
image generation
(4)
diffusion model
(3)
stochastic gradient descent
(2)
inference efficiency
(2)
efficient computing
(2)
random initialization
(2)
generative model
(2)
inference acceleration
(2)
diffusion transformer
(2)
gradient descent
(2)
batch normalization
(2)
molecular dynamics
(2)
boltzmann generator
(2)
neural rendering
(1)
neural architecture search
(1)
non-convex optimization
(1)
image synthesis
(1)
langevin dynamics
(1)
model distillation
(1)
Papers
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models
AAAI 2025
Autoregressive Distillation of Diffusion Transformers
CVPR 2025
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute
CVPR 2025
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
CVPR 2024
Rigid Body Flows for Sampling Molecular Crystal Structures
ICML 2023
Vanishing Curvature in Randomly Initialized Deep ReLU Networks
AISTATS 2022
Learning Generative Models of Textured 3D Meshes From Real-World Images
ICCV 2021
Smooth Normalizing Flows
NeurIPS 2021
Batch normalization provably avoids ranks collapse for randomly initialised deep networks
NeurIPS 2020
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
ICML 2020
Stochastic Normalizing Flows
NeurIPS 2020
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization
AISTATS 2019
The Role of Memory in Stochastic Optimization
UAI 2019
Escaping Saddles with Stochastic Gradients
ICML 2018
Spherical CNNs
ICLR 2018
Cross-Domain Mining of Argumentative Text through Distant Supervision
NAACL 2016