Joey Bose

According to our database1, Joey Bose authored at least 37 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities.
CoRR, June, 2025

RETRO SYNFLOW: Discrete Flow Matching for Accurate and Diverse Single-Step Retrosynthesis.
CoRR, June, 2025

FORT: Forward-Only Regression Training of Normalizing Flows.
CoRR, June, 2025

Scalable Equilibrium Sampling with Sequential Boltzmann Generators.
CoRR, February, 2025

The Superposition of Diffusion Models Using the Itô Density Estimator.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction.
CoRR, 2024

Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation.
CoRR, 2024

Metric Flow Matching for Smooth Interpolations on the Data Manifold.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fisher Flow Matching for Generative Modeling over Discrete Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

SE(3)-Stochastic Flow Matching for Protein Backbone Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Stability of Iterative Retraining of Generative Models on their own Data.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Feature Likelihood Score: Evaluating Generalization of Generative Models Using Samples.
CoRR, 2023

Feature Likelihood Score: Evaluating the Generalization of Generative Models Using Samples.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

EDGI: Equivariant Diffusion for Planning with Embodied Agents.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Controllable Generative Modeling via Causal Reasoning.
Trans. Mach. Learn. Res., 2022

Riemannian Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Matching Normalizing Flows and Probability Paths on Manifolds.
Proceedings of the International Conference on Machine Learning, 2022

Online Adversarial Attacks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Equivariant Discrete Normalizing Flows.
CoRR, 2021

Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Adversarial Example Games.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Latent Variable Modelling with Hyperbolic Normalizing Flows.
Proceedings of the 37th International Conference on Machine Learning, 2020

Structure Aware Negative Sampling in Knowledge Graphs.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Meta-Graph: Few shot Link Prediction via Meta Learning.
CoRR, 2019

Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies.
CoRR, 2019

Generalizable Adversarial Attacks Using Generative Models.
CoRR, 2019

Virtual Fakes: DeepFakes for Virtual Reality.
Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

Compositional Fairness Constraints for Graph Embeddings.
Proceedings of the 36th International Conference on Machine Learning, 2019

A Cross-Domain Transferable Neural Coherence Model.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Adversarial Attacks on Face Detectors Using Neural Net Based Constrained Optimization.
Proceedings of the 20th IEEE International Workshop on Multimedia Signal Processing, 2018

Adversarial Contrastive Estimation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2014
Walking through sight: Seeing the ability to see, in a 3-D augmediated reality environment.
Proceedings of the 2014 IEEE Games Media Entertainment, 2014


  Loading...