Justin M Solomon
12 papers · 2017–2023 · 2 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (2) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (6)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(2)
🏃
Academic Marathon
(6)
🧬
Topic Evolution
🗃️
Keyword Collector
(59)
⚡
Prolific Year
(5)
💎
Century Club
(12)
🔥
Unstoppable
(5)
📈
Trend Setter
❓
The Questioner
Conferences
NIPS (10)
ICML (2)
Top co-authors
Keywords
optimal transport
(7)
wasserstein distance
(2)
wasserstein barycenter
(2)
image generation
(2)
fokker-planck equation
(2)
wasserstein gradient flow
(2)
bayesian inference
(2)
input-convex neural network
(2)
probability distribution
(2)
self-supervised learning
(2)
stochastic gradient descent
(2)
mean estimation
(1)
convex optimization
(1)
point cloud
(1)
topic modeling
(1)
knowledge distillation
(1)
manifold learning
(1)
message passing
(1)
outlier detection
(1)
document representation
(1)
Papers
Self-Consistent Velocity Matching of Probability Flows
NIPS 2023
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
ICML 2022
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
NIPS 2021
MarioNette: Self-Supervised Sprite Learning
NIPS 2021
Large-Scale Wasserstein Gradient Flows
NIPS 2021
Object DGCNN: 3D Object Detection using Dynamic Graphs
NIPS 2021
Outlier-Robust Optimal Transport
ICML 2021
Continuous Regularized Wasserstein Barycenters
NIPS 2020
Alleviating Label Switching with Optimal Transport
NIPS 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
NIPS 2019
Hierarchical Optimal Transport for Document Representation
NIPS 2019
Parallel Streaming Wasserstein Barycenters
NIPS 2017