Joshua M. Susskind
31 papers · 2021–2025 · 6 venues · across top CS/AI venues
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diffusion model
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generative modeling
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image generation
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Papers
Denoising Autoregressive Transformers for Scalable Text-to-Image Generation
ICLR 2025
INRFlow: Flow Matching for INRs in Ambient Space
ICML 2025
Mechanisms of Projective Composition of Diffusion Models
ICML 2025
Normalizing Flows are Capable Generative Models
ICML 2025
Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models
ICML 2025
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting
ICML 2025
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
ICML 2025
Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation
COLING 2024
Data-free Distillation of Diffusion Models with Bootstrapping
ICML 2024
Generative Modeling with Phase Stochastic Bridge
ICLR 2024
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
ICLR 2024
Manifold Diffusion Fields
ICLR 2024
Matryoshka Diffusion Models
ICLR 2024
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
ICLR 2024
Pseudo-Generalized Dynamic View Synthesis from a Video
ICLR 2024
Scalable Pre-training of Large Autoregressive Image Models
ICML 2024
Swallowing the Bitter Pill: Simplified Scalable Conformer Generation
ICML 2024
Vanishing Gradients in Reinforcement Finetuning of Language Models
ICLR 2024
What Algorithms can Transformers Learn? A Study in Length Generalization
ICLR 2024
When can transformers reason with abstract symbols?
ICLR 2024
Diffusion Probabilistic Fields
ICLR 2023
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
ICLR 2023
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
ICLR 2023
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
ICML 2023
Stabilizing Transformer Training by Preventing Attention Entropy Collapse
ICML 2023
Fast and Explicit Neural View Synthesis
WACV 2022
Learning Representation from Neural Fisher Kernel with Low-rank Approximation
ICLR 2022
Regularized Training of Nearest Neighbor Language Models
NAACL 2022
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
ICCV 2021
On the Generalization of Learning-Based 3D Reconstruction
WACV 2021
Unconstrained Scene Generation With Locally Conditioned Radiance Fields
ICCV 2021