Josh Susskind
7 papers · 2019–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(25)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(6)
Computer Vision
(5)
Models
(4)
Machine Learning
(3)
Learning Types · Deep Learning
(3)
Analysis
(2)
Core Methods
(2)
Generation
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Application Areas
(1)
Architectures
(1)
Keywords
metric learning
(2)
conditional generation
(2)
autoregressive model
(2)
image generation
(1)
domain generalization
(1)
black-box optimization
(1)
transfer learning
(1)
image retrieval
(1)
object detection
(1)
video generation
(1)
knowledge distillation
(1)
prompt engineering
(1)
neural rendering
(1)
prompt learning
(1)
flow matching
(1)
scene representation
(1)
loss landscape
(1)
metric optimization
(1)
likelihood estimation
(1)
motion generation
(1)
Papers
Learning Long-term Motion Embeddings for Efficient Kinematics Generation
CVPR 2026
STARFlow-V: End-to-End Video Generative Modeling with Autoregressive Normalizing Flows
CVPR 2026
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
NeurIPS 2024
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
NeurIPS 2024
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics
CVPR 2021
Equivariant Neural Rendering
ICML 2020
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment
ICML 2019