Marton Havasi
11 papers · 2018–2025 · 3 conferences · across top CS/AI conferences
Achievements
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๐ฃ Hot Topic Early Bird ๐งญ Keyword Pioneer ๐บ๏ธ Taxonomy Completionist (11) ๐ Interdisciplinary Bridge ๐ Conference Polyglot (3)
๐
Academic Marathon
(7)
๐
Cross-Pollinator
(7)
๐
Century Club
(11)
๐ฅ
Unstoppable
(5)
Conferences
ICLR (6)
NIPS (4)
MLHC (1)
Top co-authors
Keywords
concept bottleneck model
(2)
variational inference
(1)
feature selection
(1)
hyperparameter optimization
(1)
interpretable machine learning
(1)
image compression
(1)
posterior distribution
(1)
pretraining strategy
(1)
latent representation
(1)
variational autoencoder
(1)
latent diffusion model
(1)
semantic conditioning
(1)
conditioning mechanism
(1)
lossy compression
(1)
relative entropy coding
(1)
multimodal posterior
(1)
deep gaussian process
(1)
stochastic gradient hamiltonian monte carlo
(1)
model intervention
(1)
pre-training strategy
(1)
Papers
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
ICLR 2025
Boosting Latent Diffusion with Perceptual Objectives
ICLR 2025
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
ICLR 2025
Generator Matching: Generative modeling with arbitrary Markov processes
ICLR 2025
On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
NIPS 2024
Addressing Leakage in Concept Bottleneck Models
NIPS 2022
Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models
MLHC 2022
Training independent subnetworks for robust prediction
ICLR 2021
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding
NIPS 2020
Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters
ICLR 2019
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo
NIPS 2018