Krzysztof Choromanski

146 papers A* 20A 15B 1Misc 3Journal 103Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CLAMP: Contrastive Learning for 3D Multi-View Action-Conditioned Robotic Manipulation Pretraining. CoRR I-Chun Arthur Liu, Krzysztof Choromanski, Sandy Huang, Connor Schenck
2026	J	`jnl`	Manifold Random Features. CoRR Ananya Parashar, Derek Long, Dwaipayan Saha, Krzysztof Choromanski
2026	J	`jnl`	SLAY: Geometry-Aware Spherical Linearized Attention with Yat-Kernel. CoRR Jose Miguel Luna, Taha Bouhsine, Krzysztof Choromanski
2026	J	`jnl`	SWING: Unlocking Implicit Graph Representations for Graph Random Features. CoRR Alessandro Manenti, Avinava Dubey, Arijit Sehanobish, Cesare Alippi, Krzysztof Choromanski
2025	A*	`conf`	Achieving Human Level Competitive Robot Table Tennis. ICRA David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi
2025	J	`jnl`	Computationally-efficient Graph Modeling with Refined Graph Random Features. CoRR Krzysztof Choromanski, Avinava Dubey, Arijit Sehanobish, Isaac Reid
2025	J	`jnl`	Graph Random Features for Scalable Gaussian Processes. CoRR Matthew Zhang, Jihao Andreas Lin, Krzysztof Choromanski, Adrian Weller, Richard E. Turner, Isaac Reid
2025	J	`jnl`	Learning the RoPEs: Better 2D and 3D Position Encodings with STRING. CoRR Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Choromanski
2025	J	`jnl`	Wavelet-Induced Rotary Encodings: RoPE Meets Graphs. CoRR Isaac Reid, Arijit Sehanobish, Cederik Höfs, Bruno Mlodozeniec, Leonhard Vulpius, Federico Barbero, Adrian Weller, Krzysztof Choromanski, Richard E. Turner, Petar Velickovic
2024	J	`jnl`	Achieving Human Level Competitive Robot Table Tennis. CoRR David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi
2024	Misc	`conf`	Augmenting Conformers With Structured State-Space Sequence Models For Online Speech Recognition. ICASSP Haozhe Shan, Albert Gu, Zhong Meng, Weiran Wang, Krzysztof Choromanski, Tara N. Sainath
2024	A	`conf`	Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity. IROS Jake Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, Vikas Sindhwani
2024	J	`jnl`	Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity. CoRR Jake Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, Vikas Sindhwani
2024	J	`jnl`	Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers. CoRR Krzysztof Choromanski, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Han Lin, Avinava Dubey, Tamás Sarlós, Snigdha Chaturvedi
2024	A	`conf`	Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. AISTATS Krzysztof Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamás Sarlós, Thomas Weingarten, Adrian Weller
2024	J	`jnl`	Linear Transformer Topological Masking with Graph Random Features. CoRR Isaac Reid, Kumar Avinava Dubey, Deepali Jain, Will Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, René Wagner, Adrian Weller, Krzysztof Choromanski
2024	J	`jnl`	Magnituder Layers for Implicit Neural Representations in 3D. CoRR Sang Min Kim, Byeongchan Kim, Arijit Sehanobish, Krzysztof Choromanski, Dongseok Shim, Avinava Dubey, Min-hwan Oh
2024	J	`jnl`	Modeling the Real World with High-Density Visual Particle Dynamics. CoRR William F. Whitney, Jacob Varley, Deepali Jain, Krzysztof Choromanski, Sumeet Singh, Vikas Sindhwani
2024	J	`jnl`	Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs. CoRR Krzysztof Choromanski, Isaac Reid, Arijit Sehanobish, Avinava Dubey
2024	A*	`conf`	SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. ICRA Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tamás Sarlós, Ken Oslund, Karol Hausman, Kanishka Rao
2024	J	`jnl`	Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning. CoRR Arijit Sehanobish, Avinava Dubey, Krzysztof Choromanski, Somnath Basu Roy Chowdhury, Deepali Jain, Vikas Sindhwani, Snigdha Chaturvedi
2024	J	`jnl`	Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning. CoRR Somnath Basu Roy Chowdhury, Krzysztof Choromanski, Arijit Sehanobish, Avinava Dubey, Snigdha Chaturvedi
2024	J	`jnl`	Variance-Reducing Couplings for Random Features: Perspectives from Optimal Transport. CoRR Isaac Reid, Stratis Markou, Krzysztof Choromanski, Richard E. Turner, Adrian Weller
2023	J	`jnl`	Agile Catching with Whole-Body MPC and Blackbox Policy Learning. CoRR Saminda Abeyruwan, Alex Bewley, Nicholas M. Boffi, Krzysztof Choromanski, David B. D'Ambrosio, Deepali Jain, Pannag Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques E. Slotine, Stephen Tu
2023	J	`jnl`	Augmenting conformers with structured state space models for online speech recognition. CoRR Haozhe Shan, Albert Gu, Zhong Meng, Weiran Wang, Krzysztof Choromanski, Tara N. Sainath
2023	J	`jnl`	Efficient Graph Field Integrators Meet Point Clouds. CoRR Krzysztof Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller
2023	J	`jnl`	FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features. CoRR Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamás Sarlós, Adrian Weller
2023	A*	`conf`	On the Expressive Flexibility of Self-Attention Matrices. AAAI Valerii Likhosherstov, Krzysztof Choromanski, Adrian Weller
2023	J	`jnl`	Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR. CoRR Rami Botros, Anmol Gulati, Tara N. Sainath, Krzysztof Choromanski, Ruoming Pang, Trevor Strohman, Weiran Wang, Jiahui Yu
2023	J	`jnl`	Quasi-Monte Carlo Graph Random Features. CoRR Isaac Reid, Krzysztof Choromanski, Adrian Weller
2023	J	`jnl`	RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRR Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, Pete Florence, Chuyuan Fu, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Kehang Han, Karol Hausman, Alexander Herzog, Jasmine Hsu, Brian Ichter, Alex Irpan, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Lisa Lee, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Henryk Michalewski, Igor Mordatch, Karl Pertsch, Kanishka Rao, Krista Reymann, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Pierre Sermanet, Jaspiar Singh, Anikait Singh, Radu Soricut, Huong T. Tran, Vincent Vanhoucke, Quan Vuong, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Jialin Wu, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
2023	J	`jnl`	Repelling Random Walks. CoRR Isaac Reid, Eli Berger, Krzysztof Choromanski, Adrian Weller
2023	—	`conf`	Robotic Table Tennis: A Case Study into a High Speed Learning System. Robotics: Science and Systems David B. D'Ambrosio, Navdeep Jaitly, Vikas Sindhwani, Ken Oslund, Peng Xu, Nevena Lazic, Anish Shankar, Tianli Ding, Jonathan Abelian, Erwin Coumans, Gus Kouretas, Thinh Nguyen, Justin Boyd, Atil Iscen, Reza Mahjourian, Vincent Vanhoucke, Alex Bewley, Yuheng Kuang, Michael Ahn, Deepali Jain, Satoshi Kataoka, Omar E. Cortes, Pierre Sermanet, Corey Lynch, Pannag R. Sanketi, Krzysztof Choromanski, Wenbo Gao, Juhana Kangaspunta, Krista Reymann, Grace Vesom, Sherry Q. Moore, Avi Singh, Saminda Wishwajith Abeyruwan, Laura Graesser
2023	J	`jnl`	Robotic Table Tennis: A Case Study into a High Speed Learning System. CoRR David B. D'Ambrosio, Jonathan Abelian, Saminda Abeyruwan, Michael Ahn, Alex Bewley, Justin Boyd, Krzysztof Choromanski, Omar Cortes, Erwin Coumans, Tianli Ding, Wenbo Gao, Laura Graesser, Atil Iscen, Navdeep Jaitly, Deepali Jain, Juhana Kangaspunta, Satoshi Kataoka, Gus Kouretas, Yuheng Kuang, Nevena Lazic, Corey Lynch, Reza Mahjourian, Sherry Q. Moore, Thinh Nguyen, Ken Oslund, Barney J. Reed, Krista Reymann, Pannag R. Sanketi, Anish Shankar, Pierre Sermanet, Vikas Sindhwani, Avi Singh, Vincent Vanhoucke, Grace Vesom, Peng Xu
2023	J	`jnl`	SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. CoRR Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tamás Sarlós, Ken Oslund, Karol Hausman, Kanishka Rao
2023	J	`jnl`	Scalable Neural Network Kernels. CoRR Arijit Sehanobish, Krzysztof Choromanski, Yunfan Zhao, Avinava Dubey, Valerii Likhosherstov
2023	J	`jnl`	Simplex Random Features. CoRR Isaac Reid, Krzysztof Choromanski, Valerii Likhosherstov, Adrian Weller
2023	J	`jnl`	Taming graph kernels with random features. CoRR Krzysztof Choromanski
2023	J	`jnl`	Universal Graph Random Features. CoRR Isaac Reid, Krzysztof Choromanski, Eli Berger, Adrian Weller
2022	J	`jnl`	A Theoretical and Empirical Comparison of Gradient Approximations in Derivative-Free Optimization. Found. Comput. Math. Albert S. Berahas, Liyuan Cao, Krzysztof Choromanski, Katya Scheinberg
2022	J	`jnl`	Automated Deep Aberration Detection from Chromosome Karyotype Images. CoRR Zahra Shamsi, Drew Bryant, Jacob Wilson, Xiaoyu Qu, Avinava Dubey, Konik Kothari, Mostafa Dehghani, Mariya Chavarha, Valerii Likhosherstov, Brian Williams, Michael Frumkin, Fred Appelbaum, Krzysztof Choromanski, Ali Bashir, Min Fang
2022	J	`jnl`	Chefs' Random Tables: Non-Trigonometric Random Features. CoRR Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamás Sarlós, Adrian Weller
2022	A*	`conf`	From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers. ICML Krzysztof Choromanski, Han Lin, Haoxian Chen, Tianyi Zhang, Arijit Sehanobish, Valerii Likhosherstov, Jack Parker-Holder, Tamás Sarlós, Adrian Weller, Thomas Weingarten
2022	J	`jnl`	Implicit Two-Tower Policies. CoRR Yunfan Zhao, Qingkai Pan, Krzysztof Choromanski, Deepali Jain, Vikas Sindhwani
2022	Misc	`conf`	Improving The Latency And Quality Of Cascaded Encoders. ICASSP Tara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Weiran Wang, David Qiu, Chung-Cheng Chiu, Rohit Prabhavalkar, Alexander Gruenstein, Anmol Gulati, Bo Li, David Rybach, Emmanuel Guzman, Ian McGraw, James Qin, Krzysztof Choromanski, Qiao Liang, Robert David, Ruoming Pang, Shuo-Yiin Chang, Trevor Strohman, W. Ronny Huang, Wei Han, Yonghui Wu, Yu Zhang
2022	J	`jnl`	Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation. CoRR Xuesu Xiao, Tingnan Zhang, Krzysztof Choromanski, Tsang-Wei Edward Lee, Anthony G. Francis, Jake Varley, Stephen Tu, Sumeet Singh, Peng Xu, Fei Xia, Sven Mikael Persson, Dmitry Kalashnikov, Leila Takayama, Roy Frostig, Jie Tan, Carolina Parada, Vikas Sindhwani
2022	J	`jnl`	Multiple View Performers for Shape Completion. CoRR David Watkins-Valls, Peter E. Allen, Krzysztof Choromanski, Jacob Varley, Nicholas R. Waytowich
2022	J	`jnl`	Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. CoRR Andy Zeng, Adrian Wong, Stefan Welker, Krzysztof Choromanski, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence
2022	J	`jnl`	Tournaments and the strong Erdős-Hajnal Property. Eur. J. Comb. Eli Berger, Krzysztof Choromanski, Maria Chudnovsky, Shira Zerbib
2022	J	`jnl`	i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. CoRR Saminda Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Choromanski, Pannag R. Sanketi
2021	A	`conf`	CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices. AISTATS Valerii Likhosherstov, Jared Davis, Krzysztof Choromanski, Adrian Weller
2021	A*	`conf`	Catformer: Designing Stable Transformers via Sensitivity Analysis. ICML Jared Quincy Davis, Albert Gu, Krzysztof Choromanski, Tri Dao, Christopher Ré, Chelsea Finn, Percy Liang
2021	A*	`conf`	Debiasing a First-order Heuristic for Approximate Bi-level Optimization. ICML Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Quincy Davis, Adrian Weller
2021	J	`jnl`	Debiasing a First-order Heuristic for Approximate Bi-level Optimization. CoRR Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Davis, Adrian Weller
2021	J	`jnl`	ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning. CoRR Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Yuxiang Yang
2021	J	`jnl`	Graph Kernel Attention Transformers. CoRR Krzysztof Choromanski, Han Lin, Haoxian Chen, Jack Parker-Holder
2021	J	`jnl`	Hybrid Random Features. CoRR Krzysztof Choromanski, Haoxian Chen, Han Lin, Yuanzhe Ma, Arijit Sehanobish, Deepali Jain, Michael S. Ryoo, Jake Varley, Andy Zeng, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller
2021	J	`jnl`	MLGO: a Machine Learning Guided Compiler Optimizations Framework. CoRR Mircea Trofin, Yundi Qian, Eugene Brevdo, Zinan Lin, Krzysztof Choromanski, David Li
2021	J	`jnl`	On the Expressive Power of Self-Attention Matrices. CoRR Valerii Likhosherstov, Krzysztof Choromanski, Adrian Weller
2021	J	`jnl`	PolyViT: Co-training Vision Transformers on Images, Videos and Audio. CoRR Valerii Likhosherstov, Anurag Arnab, Krzysztof Choromanski, Mario Lucic, Yi Tay, Adrian Weller, Mostafa Dehghani
2021	A	`conf`	Towards tractable optimism in model-based reinforcement learning. UAI Aldo Pacchiano, Philip J. Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts
2021	J	`jnl`	Unlocking Pixels for Reinforcement Learning via Implicit Attention. CoRR Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller
2020	J	`jnl`	An Ode to an ODE. CoRR Krzysztof Choromanski, Jared Quincy Davis, Valerii Likhosherstov, Xingyou Song, Jean-Jacques E. Slotine, Jacob Varley, Honglak Lee, Adrian Weller, Vikas Sindhwani
2020	J	`jnl`	CWY Parametrization for Scalable Learning of Orthogonal and Stiefel Matrices. CoRR Valerii Likhosherstov, Jared Davis, Krzysztof Choromanski, Adrian Weller
2020	J	`jnl`	Demystifying Orthogonal Monte Carlo and Beyond. CoRR Han Lin, Haoxian Chen, Tianyi Zhang, Clement Laroche, Krzysztof Choromanski
2020	A*	`conf`	ES-MAML: Simple Hessian-Free Meta Learning. ICLR Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang
2020	J	`jnl`	Effective Diversity in Population-Based Reinforcement Learning. CoRR Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts
2020	A*	`conf`	Learning to Score Behaviors for Guided Policy Optimization. ICML Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Krzysztof Choromanski, Anna Choromanska, Michael I. Jordan
2020	J	`jnl`	Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers. CoRR Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Jared Davis, Tamás Sarlós, David Belanger, Lucy J. Colwell, Adrian Weller
2020	J	`jnl`	On Optimism in Model-Based Reinforcement Learning. CoRR Aldo Pacchiano, Philip J. Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts
2020	J	`jnl`	Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies. CoRR Yunhao Tang, Krzysztof Choromanski
2020	A	`conf`	Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes. AISTATS Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang
2020	A	`conf`	Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. IROS Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan
2020	J	`jnl`	Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. CoRR Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan
2020	A*	`conf`	Ready Policy One: World Building Through Active Learning. ICML Philip J. Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen J. Roberts
2020	J	`jnl`	Ready Policy One: World Building Through Active Learning. CoRR Philip J. Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts
2020	J	`jnl`	Rethinking Attention with Performers. CoRR Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy J. Colwell, Adrian Weller
2020	A	`conf`	Robotic Table Tennis with Model-Free Reinforcement Learning. IROS Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
2020	J	`jnl`	Robotic Table Tennis with Model-Free Reinforcement Learning. CoRR Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
2020	A*	`conf`	Stochastic Flows and Geometric Optimization on the Orthogonal Group. ICML Krzysztof Choromanski, David Cheikhi, Jared Davis, Valerii Likhosherstov, Achille Nazaret, Achraf Bahamou, Xingyou Song, Mrugank Akarte, Jack Parker-Holder, Jacob Bergquist, Yuan Gao, Aldo Pacchiano, Tamás Sarlós, Adrian Weller, Vikas Sindhwani
2020	J	`jnl`	Stochastic Flows and Geometric Optimization on the Orthogonal Group. CoRR Krzysztof Choromanski, David Cheikhi, Jared Davis, Valerii Likhosherstov, Achille Nazaret, Achraf Bahamou, Xingyou Song, Mrugank Akarte, Jack Parker-Holder, Jacob Bergquist, Yuan Gao, Aldo Pacchiano, Tamás Sarlós, Adrian Weller, Vikas Sindhwani
2020	J	`jnl`	Sub-Linear Memory: How to Make Performers SLiM. CoRR Valerii Likhosherstov, Krzysztof Choromanski, Jared Davis, Xingyou Song, Adrian Weller
2020	J	`jnl`	Time Dependence in Non-Autonomous Neural ODEs. CoRR Jared Quincy Davis, Krzysztof Choromanski, Jake Varley, Honglak Lee, Jean-Jacques E. Slotine, Valerii Likhosterov, Adrian Weller, Ameesh Makadia, Vikas Sindhwani
2020	J	`jnl`	UFO-BLO: Unbiased First-Order Bilevel Optimization. CoRR Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Davis, Adrian Weller
2020	A*	`conf`	Unsupervised Anomaly Detection for Self-flying Delivery Drones. ICRA Vikas Sindhwani, Hakim Sidahmed, Krzysztof Choromanski, Brandon Jones
2020	A	`conf`	Variance Reduction for Evolution Strategies via Structured Control Variates. AISTATS Yunhao Tang, Krzysztof Choromanski, Alp Kucukelbir
2019	J	`jnl`	Adaptive Sample-Efficient Blackbox Optimization via ES-active Subspaces. CoRR Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang
2019	J	`jnl`	ES-MAML: Simple Hessian-Free Meta Learning. CoRR Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang
2019	A*	`conf`	From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization. NeurIPS Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Vikas Sindhwani
2019	A	`conf`	KAMA-NNs: Low-dimensional Rotation Based Neural Networks. AISTATS Krzysztof Choromanski, Aldo Pacchiano, Jeffrey Pennington, Yunhao Tang
2019	J	`jnl`	On the Erdős-Hajnal conjecture for six-vertex tournaments. Eur. J. Comb. Eli Berger, Krzysztof Choromanski, Maria Chudnovsky
2019	A	`conf`	Orthogonal Estimation of Wasserstein Distances. AISTATS Mark Rowland, Jiri Hron, Yunhao Tang, Krzysztof Choromanski, Tamás Sarlós, Adrian Weller
2019	J	`jnl`	Orthogonal Estimation of Wasserstein Distances. CoRR Mark Rowland, Jiri Hron, Yunhao Tang, Krzysztof Choromanski, Tamás Sarlós, Adrian Weller
2019	Misc	`conf`	Provably Robust Blackbox Optimization for Reinforcement Learning. CoRL Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Deepali Jain, Yuxiang Yang, Atil Iscen, Jasmine Hsu, Vikas Sindhwani
2019	J	`jnl`	Reinforcement Learning with Chromatic Networks. CoRR Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Deepali Jain, Yuxiang Yang
2019	J	`jnl`	Structured Monte Carlo Sampling for Nonisotropic Distributions via Determinantal Point Processes. CoRR Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang
2019	A*	`conf`	Unifying Orthogonal Monte Carlo Methods. ICML Krzysztof Choromanski, Mark Rowland, Wenyu Chen, Adrian Weller
2019	J	`jnl`	Variance Reduction for Evolution Strategies via Structured Control Variates. CoRR Yunhao Tang, Krzysztof Choromanski, Alp Kucukelbir
2019	J	`jnl`	Wasserstein Reinforcement Learning. CoRR Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Anna Choromanska, Krzysztof Choromanski, Michael I. Jordan
2019	J	`jnl`	When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies. CoRR Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Jasmine Hsu, Atil Iscen, Deepali Jain, Vikas Sindhwani
2018	A	`conf`	Adaptive anonymization of data using b-edge cover. SC Arif Khan, Krzysztof Choromanski, Alex Pothen, S. M. Ferdous, Mahantesh Halappanavar, Antonino Tumeo
2018	J	`jnl`	Excluding Hooks and their Complements. Electron. J. Comb. Krzysztof Choromanski, Dvir Falik, Anita Liebenau, Viresh Patel, Marcin Pilipczuk
2018	J	`jnl`	Excluding pairs of tournaments. J. Graph Theory Krzysztof Choromanski
2018	A*	`conf`	Geometrically Coupled Monte Carlo Sampling. NeurIPS Mark Rowland, Krzysztof Choromanski, François Chalus, Aldo Pacchiano, Tamás Sarlós, Richard E. Turner, Adrian Weller
2018	A	`conf`	Graph sketching-based Space-efficient Data Clustering. SDM Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif
2018	—	`conf`	Initialization matters: Orthogonal Predictive State Recurrent Neural Networks. ICLR (Poster) Krzysztof Choromanski, Carlton Downey, Byron Boots
2018	—	`conf`	Learning-based Air Data System for Safe and Efficient Control of Fixed-wing Aerial Vehicles. SSRR Krzysztof Choromanski, Vikas Sindhwani, Brandon Jones, Damien Jourdan, Maciej Chociej, Byron Boots
2018	J	`jnl`	On the Needs for Rotations in Hypercubic Quantization Hashing. CoRR Anne Morvan, Antoine Souloumiac, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif
2018	A*	`conf`	Optimizing Simulations with Noise-Tolerant Structured Exploration. ICRA Krzysztof Choromanski, Atil Iscen, Vikas Sindhwani, Jie Tan, Erwin Coumans
2018	J	`jnl`	Optimizing Simulations with Noise-Tolerant Structured Exploration. CoRR Krzysztof Choromanski, Atil Iscen, Vikas Sindhwani, Jie Tan, Erwin Coumans
2018	A*	`conf`	Structured Evolution with Compact Architectures for Scalable Policy Optimization. ICML Krzysztof Choromanski, Mark Rowland, Vikas Sindhwani, Richard E. Turner, Adrian Weller
2018	J	`jnl`	Structured Evolution with Compact Architectures for Scalable Policy Optimization. CoRR Krzysztof Choromanski, Mark Rowland, Vikas Sindhwani, Richard E. Turner, Adrian Weller
2018	A	`conf`	The Geometry of Random Features. AISTATS Krzysztof Choromanski, Mark Rowland, Tamás Sarlós, Vikas Sindhwani, Richard E. Turner, Adrian Weller
2018	A*	`conf`	VisualBackProp: Efficient Visualization of CNNs for Autonomous Driving. ICRA Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Larry J. Ackel, Urs Muller, Philip Yeres, Karol Zieba
2017	J	`jnl`	Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car. CoRR Mariusz Bojarski, Philip Yeres, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Lawrence D. Jackel, Urs Muller
2017	J	`jnl`	Graph sketching-based Massive Data Clustering. CoRR Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif
2017	J	`jnl`	Manifold Regularization for Kernelized LSTD. CoRR Xinyan Yan, Krzysztof Choromanski, Byron Boots, Vikas Sindhwani
2017	A	`conf`	Structured adaptive and random spinners for fast machine learning computations. AISTATS Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamás Sarlós, Jamal Atif
2016	A*	`conf`	Binary embeddings with structured hashed projections. ICML Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun
2016	J	`jnl`	Differentially-private learning of low dimensional manifolds. Theor. Comput. Sci. Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni
2016	J	`jnl`	Fast nonlinear embeddings via structured matrices. CoRR Krzysztof Choromanski, Francois Fagan
2016	J	`jnl`	On the boosting ability of top-down decision tree learning algorithm for multiclass classification. CoRR Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski
2016	J	`jnl`	Orthogonal Random Features. CoRR Felix X. Yu, Ananda Theertha Suresh, Krzysztof Choromanski, Daniel N. Holtmann-Rice, Sanjiv Kumar
2016	A	`conf`	Quantization based Fast Inner Product Search. AISTATS Ruiqi Guo, Sanjiv Kumar, Krzysztof Choromanski, David Simcha
2016	A*	`conf`	Recycling Randomness with Structure for Sublinear time Kernel Expansions. ICML Krzysztof Choromanski, Vikas Sindhwani
2016	J	`jnl`	Recycling Randomness with Structure for Sublinear time Kernel Expansions. CoRR Krzysztof Choromanski, Vikas Sindhwani
2016	J	`jnl`	Structured adaptive and random spinners for fast machine learning computations. CoRR Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamás Sarlós, Jamal Atif
2016	J	`jnl`	TripleSpin - a generic compact paradigm for fast machine learning computations. CoRR Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Tamás Sarlós, Jamal Atif
2016	J	`jnl`	VisualBackProp: visualizing CNNs for autonomous driving. CoRR Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Larry D. Jackel, Urs Muller, Karol Zieba
2015	J	`jnl`	An $\tilde{O}(\frac{1}{\sqrt{T}})$-error online algorithm for retrieving heavily perturbated statistical databases in the low-dimensional querying mode. CoRR Krzysztof Choromanski, Afshin Rostamizadeh, Umar Syed
2015	J	`jnl`	Binary embeddings with structured hashed projections. CoRR Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun
2015	J	`jnl`	Coloring tournaments with forbidden substructures. CoRR Krzysztof Choromanski, Tony Jebara
2015	J	`jnl`	EH-suprema of tournaments with no nontrivial homogeneous sets. J. Comb. Theory B Krzysztof Choromanski
2015	J	`jnl`	Efficient data hashing with structured binary embeddings. CoRR Krzysztof Choromanski
2015	J	`jnl`	Fast Online Clustering with Randomized Skeleton Sets. CoRR Krzysztof Choromanski, Sanjiv Kumar, Xiaofeng Liu
2015	J	`jnl`	Forcing large transitive subtournaments. J. Comb. Theory B Eli Berger, Krzysztof Choromanski, Maria Chudnovsky
2015	J	`jnl`	Learning how to rank from heavily perturbed statistics - digraph clustering approach. CoRR Krzysztof Choromanski
2015	J	`jnl`	Quantization based Fast Inner Product Search. CoRR Ruiqi Guo, Sanjiv Kumar, Krzysztof Choromanski, David Simcha
2014	J	`jnl`	Differentially- and non-differentially-private random decision trees. CoRR Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Yann LeCun
2014	J	`jnl`	Notes on using Determinantal Point Processes for Clustering with Applications to Text Clustering. CoRR Apoorv Agarwal, Anna Choromanska, Krzysztof Choromanski
2014	J	`jnl`	Tournaments with near-linear transitive subsets. J. Comb. Theory B Krzysztof Choromanski, Maria Chudnovsky, Paul D. Seymour
2013	—	`conf`	Adaptive Anonymity via NIPS Krzysztof Choromanski, Tony Jebara, Kui Tang
2013	B	`conf`	Differentially-Private Learning of Low Dimensional Manifolds. ALT Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni
2013	J	`jnl`	Tournaments and colouring. J. Comb. Theory B Eli Berger, Krzysztof Choromanski, Maria Chudnovsky, Jacob Fox, Martin Loebl, Alex Scott, Paul D. Seymour, Stéphan Thomassé
2013	J	`jnl`	Upper Bounds for Erdös-Hajnal Coefficients of Tournaments. J. Graph Theory Krzysztof Choromanski
2012	A*	`conf`	The power of the dinur-nissim algorithm: breaking privacy of statistical and graph databases. PODS Krzysztof Choromanski, Tal Malkin