Krzysztof Choromański
- Explaining How a Deep Neural Network Trained with End-to-End Learning\n Steers a Car
2017/04/25 by Mariusz Bojarski, Philip Yeres, Bojarski, Mariusz +14 · 3 voices · 19 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Autonomous Vehicle Technology and Safety #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #cs.CV #cs.LG #cs.NE #cs.RO
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
2023/07/28 by Anthony Brohan, Brohan, Anthony, Noah Brown +105 · 595 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotics (cs.RO) #Topic Modeling
- Rethinking Attention with Performers
2020/09/30 by Krzysztof Choromański, Valerii Likhosherstov, Choromanski, Krzysztof +23 · 194 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Topic Modeling
- Gemini Robotics: Bringing AI into the Physical World
2025/03/25 by Saminda Abeyruwan, Gemini Robotics Team, Joshua Ainslie +242 · 3 voices · 144 citations
Computer Science · Engineering · Physics and Astronomy · #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Robotics (cs.RO) #Space Science and Extraterrestrial Life #cs.RO
- Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
2022/04/01 by Andy Zeng, Zeng, Andy, Attarian, Maria +21 · 42 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Structured Evolution with Compact Architectures for Scalable Policy\n Optimization
2018/04/06 by Krzysztof Choromański, Mark Rowland, Choromanski, Krzysztof +7 · 11 citations
Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Stochastic Gradient Optimization Techniques
- Quantization based Fast Inner Product Search
2015/09/04 by Ruiqi Guo, Guo, Ruiqi, Sanjiv Kumar +5 · 6 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Web Data Mining and Analysis
- Effective Diversity in Population Based Reinforcement Learning
2020/02/03 by Jack Parker-Holder, Aldo Pacchiano, Parker-Holder, Jack +5 · 7 citations
Computer Science · Business, Management and Accounting · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Supply Chain and Inventory Management
- Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation
2022/09/22 by Xuesu Xiao, Xiao, Xuesu, Tingnan Zhang +31 · 7 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotics (cs.RO)
- Orthogonal Estimation of Wasserstein Distances
2019/03/09 by Mark Rowland, Jiri Hron, Rowland, Mark +9 · 4 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
2021/07/16 by Krzysztof Choromański, Choromanski, Krzysztof, Han Lin +17 · 5 citations
Mathematics · Neuroscience · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Photoreceptor and optogenetics research #Quantum optics and atomic interactions #Random Matrices and Applications
- VisualBackProp: efficient visualization of CNNs
2016/11/16 by Mariusz Bojarski, Bojarski, Mariusz, Anna Choromanska +11 · 4 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
- Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
2024/06/24 by Somnath Basu Roy Chowdhury, Krzysztof Choromański, Chowdhury, Somnath Basu Roy +7 · 6 citations
Computer Science · Engineering · #Analog and Mixed-Signal Circuit Design #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Neural Networks and Applications
- Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
2025/02/04 by Connor Schenck, Isaac Reid, Schenck, Connor +41 · 8 citations
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO) #Robotics and Sensor-Based Localization
- Agile Catching with Whole-Body MPC and Blackbox Policy Learning
2023/06/14 by Saminda Abeyruwan, Alex Bewley, Abeyruwan, Saminda +21 · 3 citations
Computer Science · Medicine · #FOS: Computer and information sciences #Human Pose and Action Recognition #Neurological disorders and treatments #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Mnemosyne: Learning to Train Transformers with Transformers
2023/02/02 by Deepali Jain, Jain, Deepali, Krzysztof Choromański +11 · 2 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG)
- Sub-Linear Memory: How to Make Performers SLiM
2020/12/21 by Valerii Likhosherstov, Krzysztof Choromański, Likhosherstov, Valerii +7 · 2 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer
2025/10/02 by Abbas Abdolmaleki, Gemini Robotics Team, Abdolmaleki, Abbas +267 · 14 citations
Computer Science · Engineering · #AI-based Problem Solving and Planning #Modular Robots and Swarm Intelligence #Robot Manipulation and Learning
- Linear interpolation gives better gradients than Gaussian smoothing in derivative-free optimization
2019/05/29 by Albert S. Berahas, Liyuan Cao, Berahas, Albert S +5 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
- Demystifying Orthogonal Monte Carlo and Beyond
2020/05/27 by Han Lin, Haoxian Chen, Lin, Han +7 · 1 citation
Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Mathematical Approximation and Integration #Statistical Methods and Inference
- Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning
2024/06/25 by Arijit Sehanobish, Sehanobish, Arijit, Avinava Dubey +12 · 1 voice · 1 citation
Computer Science · Physics and Astronomy · #cs.LG #cs.AI #cs.CV
- General Graph Random Features
2023/10/07 by Isaac Reid, Krzysztof Choromański, Reid, Isaac +5 · 2 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
- Quasi-Monte Carlo Graph Random Features
2023/05/21 by Isaac Reid, Reid, Isaac, Krzysztof Choromański +3 · 1 citation
Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Mathematical Approximation and Integration
- Repelling Random Walks
2023/10/07 by Isaac Reid, Reid, Isaac, Eli Berger +5 · 1 citation
Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic processes and statistical mechanics #Theoretical and Computational Physics
- Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies
2020/06/13 by Yunhao Tang, Tang, Yunhao, Krzysztof Choromański +1 · 1 citation
Computer Science · Engineering · #Adaptive Dynamic Programming Control #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics #Smart Grid Energy Management