Joey Bose
14 papers · 2020–2025 · 3 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 ↓+3 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25)
👑
Triple Crown
💎
Century Club · Bronze
🗃️
Keyword Collector
(65)
Venues
Top co-authors
Research topics
Machine Learning
(12)
Deep Learning
(11)
Optimization & Theory
(10)
Models
(9)
Artificial Intelligence
(8)
Core AI
(4)
Learning Types
(4)
Mathematics & Optimization
(2)
Architectures
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Paradigms
(2)
Optimization
(2)
Reinforcement Learning
(1)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
generative model
(4)
normalizing flow
(3)
diffusion model
(3)
score matching
(2)
black-box attack
(2)
transformer
(1)
density estimation
(1)
online learning
(1)
reinforcement learning from human feedback
(1)
stability analysis
(1)
model-based reinforcement learning
(1)
likelihood estimation
(1)
game theory
(1)
riemannian manifold
(1)
deep learning
(1)
adversarial attack
(1)
hierarchical structure
(1)
flow matching
(1)
latent variable model
(1)
variational inference
(1)
Papers
Scalable Equilibrium Sampling with Sequential Boltzmann Generators
ICML 2025
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
ICLR 2025
The Superposition of Diffusion Models Using the Itô Density Estimator
ICLR 2025
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
ICML 2024
On the Stability of Iterative Retraining of Generative Models on their own Data
ICLR 2024
SE(3)-Stochastic Flow Matching for Protein Backbone Generation
ICLR 2024
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
ICLR 2023
EDGI: Equivariant Diffusion for Planning with Embodied Agents
NeurIPS 2023
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
NeurIPS 2023
Matching Normalizing Flows and Probability Paths on Manifolds
ICML 2022
Online Adversarial Attacks
ICLR 2022
Riemannian Diffusion Models
NeurIPS 2022
Adversarial Example Games
NeurIPS 2020
Latent Variable Modelling with Hyperbolic Normalizing Flows
ICML 2020