Joshua M. Susskind
31 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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Conference Polyglot
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Prolific Year
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Century Club
(31)
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Unstoppable
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Conferences
ICLR (14)
ICML (11)
ICCV (2)
WACV (2)
COLING (1)
NAACL (1)
Top co-authors
Keywords
novel view synthesis
(2)
sim-to-real transfer
(1)
knowledge distillation
(1)
natural language generation
(1)
text generation
(1)
neural rendering
(1)
neural network optimization
(1)
nearest neighbor
(1)
shape reconstruction
(1)
knowledge graph
(1)
diffusion model
(1)
inductive bia
(1)
language model
(1)
neural radiance field
(1)
training stability
(1)
scene generation
(1)
radiance field
(1)
indoor scene
(1)
layer normalization
(1)
synthetic dataset
(1)
Papers
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting
ICML 2025
Mechanisms of Projective Composition of Diffusion Models
ICML 2025
Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models
ICML 2025
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
ICML 2025
Normalizing Flows are Capable Generative Models
ICML 2025
INRFlow: Flow Matching for INRs in Ambient Space
ICML 2025
Denoising Autoregressive Transformers for Scalable Text-to-Image Generation
ICLR 2025
Pseudo-Generalized Dynamic View Synthesis from a Video
ICLR 2024
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
ICLR 2024
Manifold Diffusion Fields
ICLR 2024
Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation
COLING 2024
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
ICLR 2024
What Algorithms can Transformers Learn? A Study in Length Generalization
ICLR 2024
Vanishing Gradients in Reinforcement Finetuning of Language Models
ICLR 2024
When can transformers reason with abstract symbols?
ICLR 2024
Generative Modeling with Phase Stochastic Bridge
ICLR 2024
Matryoshka Diffusion Models
ICLR 2024
Scalable Pre-training of Large Autoregressive Image Models
ICML 2024
Data-free Distillation of Diffusion Models with Bootstrapping
ICML 2024
Swallowing the Bitter Pill: Simplified Scalable Conformer Generation
ICML 2024
Diffusion Probabilistic Fields
ICLR 2023
Stabilizing Transformer Training by Preventing Attention Entropy Collapse
ICML 2023
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
ICML 2023
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
ICLR 2023
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
ICLR 2023
Regularized Training of Nearest Neighbor Language Models
NAACL 2022
Fast and Explicit Neural View Synthesis
WACV 2022
Learning Representation from Neural Fisher Kernel with Low-rank Approximation
ICLR 2022
Unconstrained Scene Generation With Locally Conditioned Radiance Fields
ICCV 2021
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
ICCV 2021
On the Generalization of Learning-Based 3D Reconstruction
WACV 2021