Brandon Amos
40 papers · 2016–2025 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 45% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Brandon Amos?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Ricky T. Q. Chen, Samuel Cohen, Carles Domingo-Enrich
18 papers
· 2018–2025
· ICML, NeurIPS, ICLR
Hide ▲
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
ICML 2025
Wasserstein Flow Matching: Generative Modeling Over Families of Distributions
ICML 2025
Neural Optimal Transport with Lagrangian Costs
UAI 2024
Stochastic Optimal Control Matching
NeurIPS 2024
Meta Optimal Transport
ICML 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
ICML 2023
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
ICML 2023
TaskMet: Task-driven Metric Learning for Model Learning
NeurIPS 2023
Cross-Domain Imitation Learning via Optimal Transport
ICLR 2022
Matching Normalizing Flows and Probability Paths on Manifolds
ICML 2022
Semi-Discrete Normalizing Flows through Differentiable Tessellation
NeurIPS 2022
Theseus: A Library for Differentiable Nonlinear Optimization
NeurIPS 2022
Aligning Time Series on Incomparable Spaces
AISTATS 2021
Learning Neural Event Functions for Ordinary Differential Equations
ICLR 2021
Neural Spatio-Temporal Point Processes
ICLR 2021
Riemannian Convex Potential Maps
ICML 2021
Scalable Online Planning via Reinforcement Learning Fine-Tuning
NeurIPS 2021
Depth-Limited Solving for Imperfect-Information Games
NeurIPS 2018
7 papers whose co-authors appear nowhere else under this name
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
ICLR 2025
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
ICLR 2025
On amortizing convex conjugates for optimal transport
ICLR 2023
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
NeurIPS 2022
Objective Mismatch in Model-based Reinforcement Learning
L4DC 2020
Learning Awareness Models
ICLR 2018
Collapsed Variational Inference for Sum-Product Networks
ICML 2016