Brandon Amos

107 papers A* 31A 3B 1C 1Misc 4Journal 59Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning.
J. Artif. Intell. Res.
Mattia Silvestri, Senne Berden, Gaetano Signorelli, Ali Irfan Mahmutogullari, Jayanta Mandi, Brandon Amos, Tias Guns, Michele Lombardi
2026 J jnl
The Surprising Difficulty of Search in Model-Based Reinforcement Learning.
CoRR
Wei-Di Chang, Mikael Henaff, Brandon Amos, Gregory Dudek, Scott Fujimoto
2025 J jnl
A Fully First-Order Layer for Differentiable Optimization.
CoRR
Zihao Zhao, Kai-Chia Mo, Shing-Hei Ho, Brandon Amos, Kai Wang
2025 A* conf
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching.
ICML
Aaron J. Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Daniel S. Levine, Brandon M. Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen
2025 J jnl
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching.
CoRR
Aaron J. Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Brandon M. Wood, Daniel LeVine, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen
2025 A* conf
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs.
ICML
Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian
2025 J jnl
AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
CoRR
Ori Press, Brandon Amos, Haoyu Zhao, Yikai Wu, Samuel K. Ainsworth, Dominik Krupke, Patrick Kidger, Touqir Sajed, Bartolomeo Stellato, Jisun Park, Nathanael Bosch, Eli Meril, Albert Steppi, Arman Zharmagambetov, Fangzhao Zhang, David Perez-Pineiro, Alberto Mercurio, Ni Zhan, Talor Abramovich, Kilian Lieret, Hanlin Zhang, Shirley Huang, Matthias Bethge, Ofir Press
2025 J jnl
BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards.
CoRR
Sangyun Lee, Brandon Amos, Giulia Fanti
2025 J jnl
Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset.
CoRR
Lily Hong Zhang, Smitha Milli, Karen Jusko, Jonathan Smith, Brandon Amos, Wassim Bouaziz, Manon Revel, Jack Kussman, Lisa Titus, Bhaktipriya Radharapu, Jane Yu, Vidya Sarma, Kris Rose, Maximilian Nickel
2025 A* conf
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles.
ICLR
Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew J. Muckley, Karen Ullrich
2025 A* conf
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold.
ICLR
Lazar Atanackovic, Xi Zhang, Brandon Amos, Mathieu Blanchette, Leo J. Lee, Yoshua Bengio, Alexander Tong, Kirill Neklyudov
2025 J jnl
Safety Alignment of LMs via Non-cooperative Games.
CoRR
Anselm Paulus, Ilia Kulikov, Brandon Amos, Rémi Munos, Ivan Evtimov, Kamalika Chaudhuri, Arman Zharmagambetov
2025 A* conf
Wasserstein Flow Matching: Generative Modeling Over Families of Distributions.
ICML
Doron Haviv, Aram-Alexandre Pooladian, Dana Pe'er, Brandon Amos
2024 J jnl
AdvPrefix: An Objective for Nuanced LLM Jailbreaks.
CoRR
Sicheng Zhu, Brandon Amos, Yuandong Tian, Chuan Guo, Ivan Evtimov
2024 J jnl
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs.
CoRR
Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian
2024 J jnl
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles.
CoRR
Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew J. Muckley, Karen Ullrich
2024 J jnl
Learning to Warm-Start Fixed-Point Optimization Algorithms.
J. Mach. Learn. Res.
Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato
2024 J jnl
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold.
CoRR
Lazar Atanackovic, Xi Zhang, Brandon Amos, Mathieu Blanchette, Leo J. Lee, Yoshua Bengio, Alexander Tong, Kirill Neklyudov
2024 A conf
Neural Optimal Transport with Lagrangian Costs.
UAI
Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos
2024 J jnl
Neural Optimal Transport with Lagrangian Costs.
CoRR
Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos
2024 J jnl
Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback.
CoRR
Qinqing Zheng, Mikael Henaff, Amy Zhang, Aditya Grover, Brandon Amos
2024 A* conf
Stochastic Optimal Control Matching.
NeurIPS
Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen
2024 — conf
To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning.
EMNLP (System Demonstrations)
Da Ju, Song Jiang, Andrew Cohen, Aaron Foss, Sasha Mitts, Arman Zharmagambetov, Brandon Amos, Xian Li, Justine T. Kao, Maryam Fazel-Zarandi, Yuandong Tian
2024 J jnl
To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning.
CoRR
Da Ju, Song Jiang, Andrew Cohen, Aaron Foss, Sasha Mitts, Arman Zharmagambetov, Brandon Amos, Xian Li, Justine T. Kao, Maryam Fazel-Zarandi, Yuandong Tian
2024 A* conf
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models.
NeurIPS
Sanae Lotfi, Yilun Kuang, Marc Finzi, Brandon Amos, Micah Goldblum, Andrew Gordon Wilson
2024 J jnl
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models.
CoRR
Sanae Lotfi, Yilun Kuang, Brandon Amos, Micah Goldblum, Marc Finzi, Andrew Gordon Wilson
2024 J jnl
Wasserstein Flow Matching: Generative modeling over families of distributions.
CoRR
Doron Haviv, Aram-Alexandre Pooladian, Dana Pe'er, Brandon Amos
2023 — conf
End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization.
L4DC
Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato
2023 A* conf
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information.
NeurIPS
Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
2023 J jnl
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information.
CoRR
Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
2023 J jnl
Learning to Warm-Start Fixed-Point Optimization Algorithms.
CoRR
Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato
2023 A* conf
Meta Optimal Transport.
ICML
Brandon Amos, Giulia Luise, Samuel Cohen, Ievgen Redko
2023 A* conf
Multisample Flow Matching: Straightening Flows with Minibatch Couplings.
ICML
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
2023 J jnl
Multisample Flow Matching: Straightening Flows with Minibatch Couplings.
CoRR
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
2023 A* conf
On amortizing convex conjugates for optimal transport.
ICLR
Brandon Amos
2023 A* conf
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories.
ICML
Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover
2023 J jnl
Stochastic Optimal Control Matching.
CoRR
Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen
2023 J jnl
TaskMet: Task-Driven Metric Learning for Model Learning.
CoRR
Dishank Bansal, Ricky T. Q. Chen, Mustafa Mukadam, Brandon Amos
2023 A* conf
TaskMet: Task-driven Metric Learning for Model Learning.
NeurIPS
Dishank Bansal, Ricky T. Q. Chen, Mustafa Mukadam, Brandon Amos
2023 J jnl
Tutorial on Amortized Optimization.
Found. Trends Mach. Learn.
Brandon Amos
2022 A* conf
Cross-Domain Imitation Learning via Optimal Transport.
ICLR
Arnaud Fickinger, Samuel Cohen, Stuart Russell, Brandon Amos
2022 A* conf
Matching Normalizing Flows and Probability Paths on Manifolds.
ICML
Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Maximilian Nickel, Aditya Grover, Ricky T. Q. Chen, Yaron Lipman
2022 J jnl
Matching Normalizing Flows and Probability Paths on Manifolds.
CoRR
Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Aditya Grover, Maximilian Nickel, Ricky T. Q. Chen, Yaron Lipman
2022 J jnl
Meta Optimal Transport.
CoRR
Brandon Amos, Samuel Cohen, Giulia Luise, Ievgen Redko
2022 A* conf
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world.
NeurIPS
Eugene Vinitsky, Nathan Lichtlé, Xiaomeng Yang, Brandon Amos, Jakob N. Foerster
2022 J jnl
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world.
CoRR
Eugene Vinitsky, Nathan Lichtlé, Xiaomeng Yang, Brandon Amos, Jakob N. Foerster
2022 J jnl
On amortizing convex conjugates for optimal transport.
CoRR
Brandon Amos
2022 A* conf
Semi-Discrete Normalizing Flows through Differentiable Tessellation.
NeurIPS
Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel
2022 J jnl
Semi-Discrete Normalizing Flows through Differentiable Tessellation.
CoRR
Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel
2022 J jnl
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories.
CoRR
Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover
2022 A* conf
Theseus: A Library for Differentiable Nonlinear Optimization.
NeurIPS
Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky T. Q. Chen, Joseph Ortiz, Daniel DeTone, Austin S. Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam
2022 J jnl
Theseus: A Library for Differentiable Nonlinear Optimization.
CoRR
Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky T. Q. Chen, Joseph Ortiz, Daniel DeTone, Austin S. Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam
2022 J jnl
Tutorial on amortized optimization for learning to optimize over continuous domains.
CoRR
Brandon Amos
2021 A conf
Aligning Time Series on Incomparable Spaces.
AISTATS
Samuel Cohen, Giulia Luise, Alexander Terenin, Brandon Amos, Marc Peter Deisenroth
2021 A* conf
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints.
ICML
Anselm Paulus, Michal Rolínek, Vít Musil, Brandon Amos, Georg Martius
2021 J jnl
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints.
CoRR
Anselm Paulus, Michal Rolínek, Vít Musil, Brandon Amos, Georg Martius
2021 J jnl
Cross-Domain Imitation Learning via Optimal Transport.
CoRR
Arnaud Fickinger, Samuel Cohen, Stuart Russell, Brandon Amos
2021 A* conf
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images.
AAAI
Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus
2021 J jnl
Input Convex Gradient Networks.
CoRR
Jack Richter-Powell, Jonathan Lorraine, Brandon Amos
2021 A* conf
Learning Neural Event Functions for Ordinary Differential Equations.
ICLR
Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel
2021 J jnl
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning.
CoRR
Luis Pineda, Brandon Amos, Amy Zhang, Nathan O. Lambert, Roberto Calandra
2021 J jnl
Neural Fixed-Point Acceleration for Convex Optimization.
CoRR
Shobha Venkataraman, Brandon Amos
2021 A* conf
Neural Spatio-Temporal Point Processes.
ICLR
Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel
2021 — conf
On the model-based stochastic value gradient for continuous reinforcement learning.
L4DC
Brandon Amos, Samuel Stanton, Denis Yarats, Andrew Gordon Wilson
2021 A* conf
Riemannian Convex Potential Maps.
ICML
Samuel Cohen, Brandon Amos, Yaron Lipman
2021 J jnl
Riemannian Convex Potential Maps.
CoRR
Samuel Cohen, Brandon Amos, Yaron Lipman
2021 A* conf
Scalable Online Planning via Reinforcement Learning Fine-Tuning.
NeurIPS
Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart J. Russell, Noam Brown
2021 J jnl
Scalable Online Planning via Reinforcement Learning Fine-Tuning.
CoRR
Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart Russell, Noam Brown
2020 J jnl
Aligning Time Series on Incomparable Spaces.
CoRR
Samuel Cohen, Giulia Luise, Alexander Terenin, Brandon Amos, Marc Peter Deisenroth
2020 J jnl
Learning Neural Event Functions for Ordinary Differential Equations.
CoRR
Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel
2020 J jnl
Neural Spatio-Temporal Point Processes.
CoRR
Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel
2020 — conf
Objective Mismatch in Model-based Reinforcement Learning.
L4DC
Nathan O. Lambert, Brandon Amos, Omry Yadan, Roberto Calandra
2020 J jnl
Objective Mismatch in Model-based Reinforcement Learning.
CoRR
Nathan O. Lambert, Brandon Amos, Omry Yadan, Roberto Calandra
2020 J jnl
On the model-based stochastic value gradient for continuous reinforcement learning.
CoRR
Brandon Amos, Samuel Stanton, Denis Yarats, Andrew Gordon Wilson
2020 A* conf
The Differentiable Cross-Entropy Method.
ICML
Brandon Amos, Denis Yarats
2019 A* conf
Differentiable Convex Optimization Layers.
NeurIPS
Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter
2019 J jnl
Differentiable Convex Optimization Layers.
CoRR
Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter
2019 J jnl
Generalized Inner Loop Meta-Learning.
CoRR
Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala
2019 J jnl
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images.
CoRR
Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus
2019 J jnl
The Differentiable Cross-Entropy Method.
CoRR
Brandon Amos, Denis Yarats
2019 J jnl
The Limited Multi-Label Projection Layer.
CoRR
Brandon Amos, Vladlen Koltun, J. Zico Kolter
2018 A* conf
Depth-Limited Solving for Imperfect-Information Games.
NeurIPS
Noam Brown, Tuomas Sandholm, Brandon Amos
2018 J jnl
Depth-Limited Solving for Imperfect-Information Games.
CoRR
Noam Brown, Tuomas Sandholm, Brandon Amos
2018 A* conf
Differentiable MPC for End-to-end Planning and Control.
NeurIPS
Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter
2018 J jnl
Differentiable MPC for End-to-end Planning and Control.
CoRR
Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter
2018 J jnl
Enabling Live Video Analytics with a Scalable and Privacy-Aware Framework.
ACM Trans. Multim. Comput. Commun. Appl.
Junjue Wang, Brandon Amos, Anupam Das, Padmanabhan Pillai, Norman M. Sadeh, Mahadev Satyanarayanan
2018 — conf
Learning Awareness Models.
ICLR (Poster)
Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gomez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil
2018 J jnl
Learning Awareness Models.
CoRR
Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gomez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil
2017 A conf
A Scalable and Privacy-Aware IoT Service for Live Video Analytics.
MMSys
Junjue Wang, Brandon Amos, Anupam Das, Padmanabhan Pillai, Norman M. Sadeh, Mahadev Satyanarayanan
2017 Misc conf
An empirical study of latency in an emerging class of edge computing applications for wearable cognitive assistance.
SEC
Zhuo Chen, Wenlu Hu, Junjue Wang, Siyan Zhao, Brandon Amos, Guanhang Wu, Kiryong Ha, Khalid Elgazzar, Padmanabhan Pillai, Roberta L. Klatzky, Daniel P. Siewiorek, Mahadev Satyanarayanan
2017 A* conf
Input Convex Neural Networks.
ICML
Brandon Amos, Lei Xu, J. Zico Kolter
2017 A* conf
OptNet: Differentiable Optimization as a Layer in Neural Networks.
ICML
Brandon Amos, J. Zico Kolter
2017 J jnl
OptNet: Differentiable Optimization as a Layer in Neural Networks.
CoRR
Brandon Amos, J. Zico Kolter
2017 — conf
Task-based End-to-end Model Learning in Stochastic Optimization.
NIPS
Priya L. Donti, J. Zico Kolter, Brandon Amos
2017 J jnl
Task-based End-to-end Model Learning.
CoRR
Priya L. Donti, Brandon Amos, J. Zico Kolter
2017 Misc conf
You can teach elephants to dance: agile VM handoff for edge computing.
SEC
Kiryong Ha, Yoshihisa Abe, Thomas Eiszler, Zhuo Chen, Wenlu Hu, Brandon Amos, Rohit Upadhyaya, Padmanabhan Pillai, Mahadev Satyanarayanan
2016 A* conf
Collapsed Variational Inference for Sum-Product Networks.
ICML
Han Zhao, Tameem Adel, Geoffrey J. Gordon, Brandon Amos
2016 J jnl
HotMobile 2016.
IEEE Pervasive Comput.
Brandon Amos, Ketan Bhardwaj, Kiron Lebeck
2016 J jnl
Input Convex Neural Networks.
CoRR
Brandon Amos, Lei Xu, J. Zico Kolter
2016 Misc conf
Privacy Mediators: Helping IoT Cross the Chasm.
HotMobile
Nigel Davies, Nina Taft, Mahadev Satyanarayanan, Sarah Clinch, Brandon Amos
2016 — conf
Quantifying the Impact of Edge Computing on Mobile Applications.
APSys
Wenlu Hu, Ying Gao, Kiryong Ha, Junjue Wang, Brandon Amos, Zhuo Chen, Padmanabhan Pillai, Mahadev Satyanarayanan
2015 J jnl
Bad Parts: Are Our Manufacturing Systems at Risk of Silent Cyberattacks?
IEEE Secur. Priv.
Hamilton A. Turner, Jules White, Jaime A. Camelio, Christopher Williams, Brandon Amos, Robert Parker
2015 — conf
Early Implementation Experience with Wearable Cognitive Assistance Applications.
WearSys@MobiSys
Zhuo Chen, Lu Jiang, Wenlu Hu, Kiryong Ha, Brandon Amos, Padmanabhan Pillai, Alexander G. Hauptmann, Mahadev Satyanarayanan
2015 J jnl
Edge Analytics in the Internet of Things.
IEEE Pervasive Comput.
Mahadev Satyanarayanan, Pieter Simoens, Yu Xiao, Padmanabhan Pillai, Zhuo Chen, Kiryong Ha, Wenlu Hu, Brandon Amos
2015 Misc conf
The Case for Offload Shaping.
HotMobile
Wenlu Hu, Brandon Amos, Zhuo Chen, Kiryong Ha, Wolfgang Richter, Padmanabhan Pillai, Benjamin Gilbert, Jan Harkes, Mahadev Satyanarayanan
2014 C conf
Performance Study of Spindle, A Web Analytics Query Engine Implemented in Spark.
CloudCom
Brandon Amos, David Tompkins
2013 B conf
Applying machine learning classifiers to dynamic Android malware detection at scale.
IWCMC
Brandon Amos, Hamilton A. Turner, Jules White