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Amos, Brandon

  1. OptNet: Differentiable Optimization as a Layer in Neural Networks
    2017/03/01 by Brandon Amos, Amos, Brandon, J. Zico Kolter +1 · 72 citations
    Engineering · Mathematics · Physics and Astronomy · #Advanced Numerical Analysis Techniques #Advanced Optimization Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Optimization and Control (math.OC)
  2. Input Convex Neural Networks
    2016/09/22 by Amos, Brandon, Xu, Lei, Kolter, J. Zico · 48 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  3. Differentiable Convex Optimization Layers
    2019/10/28 by Akshay Agrawal, Brandon Amos, Agrawal, Akshay +9 · 64 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Machine Learning and Algorithms #Adversarial Robustness in Machine Learning
  4. Multisample Flow Matching: Straightening Flows with Minibatch Couplings
    2023/04/28 by Aram-Alexandre Pooladian, Pooladian, Aram-Alexandre, Heli Ben-Hamu +9 · 1 voice · 39 citations
    #cs.LG
  5. Differentiable MPC for End-to-end Planning and Control
    2018/10/31 by Brandon Amos, Amos, Brandon, Ivan Dario Jimenez Rodriguez +7 · 20 citations
    Computer Science · Engineering · Physics and Astronomy · #Advanced Control Systems Optimization #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
  6. AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
    2024/04/21 by Anselm Paulus, Arman Zharmagambetov, Paulus, Anselm +7 · 35 citations
    Engineering · Computer Science · #Smart Grid Security and Resilience #Network Security and Intrusion Detection
  7. Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
    2019/10/02 by Yarats, Denis, Zhang, Amy, Kostrikov, Ilya +3 · 12 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
  8. Tutorial on amortized optimization
    2022/02/01 by Amos, Brandon · 15 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  9. Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
    2025/04/16 by Aaron Havens, Aaron M. Havens, Havens, Aaron +26 · 2 voices · 27 citations
    Materials Science · Computer Science · #Machine Learning in Materials Science #Advanced Graph Neural Networks #Gaussian Processes and Bayesian Inference
  10. Theseus: A Library for Differentiable Nonlinear Optimization
    2022/07/19 by Luis Villaseñor-Pineda, Pineda, Luis, Taosha Fan +23 · 11 citations
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Robotics (cs.RO) #Sparse and Compressive Sensing Techniques
  11. Learning to Warm-Start Fixed-Point Optimization Algorithms
    2023/09/14 by Sambharya, Rajiv, Hall, Georgina, Amos, Brandon +1 · 11 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  12. Depth-Limited Solving for Imperfect-Information Games
    2018/05/21 by Noam Brown, Tüomas Sandholm, Brown, Noam +3 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Multiagent Systems (cs.MA) #Optimization and Search Problems #Reinforcement Learning in Robotics
  13. Matching Normalizing Flows and Probability Paths on Manifolds
    2022/07/11 by Ben-Hamu, Heli, Cohen, Samuel, Bose, Joey +5 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Stochastic Optimal Control Matching
    2023/12/04 by Carles Domingo-Enrich, Jiequn Han, Domingo-Enrich, Carles +7 · 10 citations
    Computer Science · Mathematics · Physics and Astronomy · #Stochastic Gradient Optimization Techniques #Markov Chains and Monte Carlo Methods #Model Reduction and Neural Networks
  15. Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
    2022/06/20 by Eugene Vinitsky, Nathan Lichtlé, Vinitsky, Eugene +7 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  16. Wasserstein Flow Matching: Generative modeling over families of distributions
    2024/11/01 by Doron Haviv, Haviv, Doron, Aram-Alexandre Pooladian +5 · 10 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis
  17. Learning Awareness Models
    2018/04/17 by Brandon Amos, Laurent Dinh, Amos, Brandon +17 · 6 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Robot Manipulation and Learning #Reinforcement Learning in Robotics
  18. End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization
    2022/12/16 by Sambharya, Rajiv, Hall, Georgina, Amos, Brandon +1 · 5 citations
    #FOS: Mathematics #Optimization and Control (math.OC)
  19. The Differentiable Cross-Entropy Method
    2019/09/27 by Amos, Brandon, Yarats, Denis · 3 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Robotics (cs.RO)
  20. Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
    2024/08/26 by Atanackovic, Lazar, Zhang, Xi, Amos, Brandon +5 · 8 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  21. On the model-based stochastic value gradient for continuous reinforcement learning
    2020/08/28 by Brandon Amos, Amos, Brandon, Samuel Stanton +5 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  22. MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
    2021/04/20 by Pineda, Luis, Amos, Brandon, Zhang, Amy +2 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Systems and Control (eess.SY) #electronic engineering #information engineering
  23. Cross-Domain Imitation Learning via Optimal Transport
    2021/10/07 by Fickinger, Arnaud, Cohen, Samuel, Russell, Stuart +1 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
  24. Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
    2024/10/30 by Zheng, Qinqing, Henaff, Mikael, Zhang, Amy +2 · 2 voices · 5 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  25. Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
    2024/10/11 by Buu Phan, Phan, Buu, Brandon Amos +9 · 1 voice · 5 citations
    #cs.CL #cs.LG
  26. Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
    2022/10/12 by Qinqing Zheng, Zheng, Qinqing, Mikael Henaff +5 · 3 citations
    Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Data Classification #Evolutionary Algorithms and Applications
  27. On amortizing convex conjugates for optimal transport
    2022/10/21 by Amos, Brandon · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  28. AdvPrefix: An Objective for Nuanced LLM Jailbreaks
    2024/12/13 by Sicheng Zhu, Zhu, Sicheng, Brandon Amos +7 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #Machine Learning (cs.LG)
  29. Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
    2023/07/18 by Arman Zharmagambetov, Brandon Amos, Zharmagambetov, Arman +9 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  30. Meta Optimal Transport
    2022/06/10 by Brandon Amos, Amos, Brandon, Samuel M. Cohen +5 · 2 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Artificial Intelligence (cs.AI) #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques
  31. AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
    2025/07/19 by Press, Ori, Amos, Brandon, Zhao, Haoyu +21 · 8 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
  32. Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset
    2025/07/13 by Zhang, Lily Hong, Smitha Milli, Milli, Smitha +24 · 5 citations
    Engineering · Computer Science · #Smart Cities and Technologies #Information Retrieval and Data Mining
  33. TaskMet: Task-Driven Metric Learning for Model Learning
    2023/12/08 by Dishank Bansal, Bansal, Dishank, Ricky T. Q. Chen +5 · 2 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
  34. The Limited Multi-Label Projection Layer
    2019/06/20 by Amos, Brandon, Koltun, Vladlen, Kolter, J. Zico · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  35. Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning
    2023/07/11 by Silvestri, Mattia, Berden, Senne, Mandi, Jayanta +4 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  36. Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models
    2024/07/25 by Sanae Lotfi, Lotfi, Sanae, Yilun Kuang +9 · 1 voice · 3 citations
    #stat.ML #cs.LG
  37. Neural Fixed-Point Acceleration for Convex Optimization
    2021/07/21 by Venkataraman, Shobha, Amos, Brandon · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  38. Scalable Online Planning via Reinforcement Learning Fine-Tuning
    2021/09/30 by Fickinger, Arnaud, Hu, Hengyuan, Amos, Brandon +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  39. Input Convex Gradient Networks
    2021/11/23 by Richter-Powell, Jack, Lorraine, Jonathan, Amos, Brandon · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  40. Neural Optimal Transport with Lagrangian Costs
    2024/06/01 by Pooladian, Aram-Alexandre, Domingo-Enrich, Carles, Chen, Ricky T. Q. +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  41. Generalized Inner Loop Meta-Learning
    2019/10/03 by Edward Grefenstette, Grefenstette, Edward, Brandon Amos +15 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification