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ORCIDKrzysztof Choromanski
Krzysztof Marcin Choromanski
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- affiliation: Columbia University, Department of Industrial Engineering and Operations Research
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Journal Articles
- 2023
[j12]Valerii Likhosherstov, Anurag Arnab, Krzysztof Marcin Choromanski, Mario Lucic, Yi Tay, Mostafa Dehghani:
PolyViT: Co-training Vision Transformers on Images, Videos and Audio. Trans. Mach. Learn. Res. 2023 (2023)- 2022
- [j11]Eli Berger, Krzysztof Choromanski, Maria Chudnovsky
, Shira Zerbib:
Tournaments and the strong Erdős-Hajnal Property. Eur. J. Comb. 100: 103440 (2022) - [j10]Albert S. Berahas, Liyuan Cao, Krzysztof Choromanski, Katya Scheinberg:
A Theoretical and Empirical Comparison of Gradient Approximations in Derivative-Free Optimization. Found. Comput. Math. 22(2): 507-560 (2022) - 2019
- [j9]Eli Berger, Krzysztof Choromanski, Maria Chudnovsky:
On the Erdős-Hajnal conjecture for six-vertex tournaments. Eur. J. Comb. 75: 113-122 (2019) - 2018
- [j8]Krzysztof Choromanski, Dvir Falik, Anita Liebenau, Viresh Patel, Marcin Pilipczuk:
Excluding Hooks and their Complements. Electron. J. Comb. 25(3): 3 (2018) - [j7]Krzysztof Choromanski:
Excluding pairs of tournaments. J. Graph Theory 89(3): 266-287 (2018) - 2016
- [j6]Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni:
Differentially-private learning of low dimensional manifolds. Theor. Comput. Sci. 620: 91-104 (2016) - 2015
- [j5]Eli Berger, Krzysztof Choromanski, Maria Chudnovsky:
Forcing large transitive subtournaments. J. Comb. Theory, Ser. B 112: 1-17 (2015) - [j4]Krzysztof Choromanski:
EH-suprema of tournaments with no nontrivial homogeneous sets. J. Comb. Theory, Ser. B 114: 97-123 (2015) - 2014
- [j3]Krzysztof Choromanski, Maria Chudnovsky, Paul D. Seymour:
Tournaments with near-linear transitive subsets. J. Comb. Theory, Ser. B 109: 228-249 (2014) - 2013
- [j2]Eli Berger, Krzysztof Choromanski, Maria Chudnovsky, Jacob Fox, Martin Loebl, Alex Scott, Paul D. Seymour, Stéphan Thomassé:
Tournaments and colouring. J. Comb. Theory, Ser. B 103(1): 1-20 (2013) - [j1]Krzysztof Choromanski:
Upper Bounds for Erdös-Hajnal Coefficients of Tournaments. J. Graph Theory 74(1): 122-132 (2013)
Conference and Workshop Papers
- 2023
- [c60]Valerii Likhosherstov, Krzysztof Choromanski, Adrian Weller:
On the Expressive Flexibility of Self-Attention Matrices. AAAI 2023: 8773-8781 - [c59]Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han:
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRL 2023: 2165-2183 - [c58]Andy Zeng, Maria Attarian, Brian Ichter, Krzysztof Marcin Choromanski, Adrian Wong, Stefan Welker, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence:
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. ICLR 2023 - [c57]Krzysztof Marcin Choromanski:
Taming graph kernels with random features. ICML 2023: 5964-5977 - [c56]Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller:
Efficient Graph Field Integrators Meet Point Clouds. ICML 2023: 5978-6004 - [c55]Isaac Reid, Krzysztof Marcin Choromanski, Valerii Likhosherstov, Adrian Weller:
Simplex Random Features. ICML 2023: 28864-28888 - [c54]Saminda Abeyruwan, Alex Bewley, Nicholas Matthew Boffi, Krzysztof Marcin Choromanski, David B. D'Ambrosio, Deepali Jain, Pannag R. Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques E. Slotine, Stephen Tu:
Agile Catching with Whole-Body MPC and Blackbox Policy Learning. L4DC 2023: 851-863 - [c53]Deepali Jain, Krzysztof Marcin Choromanski, Kumar Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan:
Mnemosyne: Learning to Train Transformers with Transformers. NeurIPS 2023 - [c52]Valerii Likhosherstov, Krzysztof Marcin Choromanski, Kumar Avinava Dubey, Frederick Liu, Tamás Sarlós, Adrian Weller:
Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel. NeurIPS 2023 - [c51]Isaac Reid, Adrian Weller, Krzysztof Marcin Choromanski:
Quasi-Monte Carlo Graph Random Features. NeurIPS 2023 - [c50]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:
Robotic Table Tennis: A Case Study into a High Speed Learning System. Robotics: Science and Systems 2023 - 2022
- [c49]Saminda Wishwajith Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Marcin Choromanski, Pannag R. Sanketi:
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. CoRL 2022: 212-224 - [c48]Xuesu Xiao, Tingnan Zhang, Krzysztof Marcin 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:
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation. CoRL 2022: 1708-1721 - [c47]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:
Improving The Latency And Quality Of Cascaded Encoders. ICASSP 2022: 8112-8116 - [c46]Krzysztof Marcin Choromanski, Han Lin, Haoxian Chen, Arijit Sehanobish, Yuanzhe Ma, Deepali Jain, Jake Varley, Andy Zeng, Michael S. Ryoo, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller:
Hybrid Random Features. ICLR 2022 - [c45]Krzysztof Choromanski, Han Lin, Haoxian Chen, Tianyi Zhang, Arijit Sehanobish, Valerii Likhosherstov, Jack Parker-Holder, Tamás Sarlós, Adrian Weller, Thomas Weingarten:
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers. ICML 2022: 3962-3983 - [c44]Valerii Likhosherstov, Krzysztof Marcin Choromanski, Kumar Avinava Dubey, Frederick Liu, Tamás Sarlós, Adrian Weller:
Chefs' Random Tables: Non-Trigonometric Random Features. NeurIPS 2022 - 2021
- [c43]Valerii Likhosherstov, Jared Davis, Krzysztof Choromanski, Adrian Weller:
CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices. AISTATS 2021: 55-63 - [c42]Krzysztof Marcin Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Quincy Davis, Afroz Mohiuddin, Lukasz Kaiser, David Benjamin Belanger, Lucy J. Colwell, Adrian Weller:
Rethinking Attention with Performers. ICLR 2021 - [c41]Jared Quincy Davis, Albert Gu, Krzysztof Choromanski, Tri Dao, Christopher Ré, Chelsea Finn, Percy Liang:
Catformer: Designing Stable Transformers via Sensitivity Analysis. ICML 2021: 2489-2499 - [c40]Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Quincy Davis, Adrian Weller:
Debiasing a First-order Heuristic for Approximate Bi-level Optimization. ICML 2021: 6621-6630 - [c39]Valerii Likhosherstov, Krzysztof Marcin Choromanski, Jared Quincy Davis, Xingyou Song, Adrian Weller:
Sub-Linear Memory: How to Make Performers SLiM. NeurIPS 2021: 6707-6719 - [c38]Aldo Pacchiano, Philip J. Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts:
Towards tractable optimism in model-based reinforcement learning. UAI 2021: 1413-1423 - 2020
- [c37]Yunhao Tang, Krzysztof Choromanski, Alp Kucukelbir:
Variance Reduction for Evolution Strategies via Structured Control Variates. AISTATS 2020: 646-656 - [c36]Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang:
Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes. AISTATS 2020: 1363-1374 - [c35]Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang:
ES-MAML: Simple Hessian-Free Meta Learning. ICLR 2020 - [c34]Philip J. Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen J. Roberts:
Ready Policy One: World Building Through Active Learning. ICML 2020: 591-601 - [c33]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:
Stochastic Flows and Geometric Optimization on the Orthogonal Group. ICML 2020: 1918-1928 - [c32]Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Krzysztof Choromanski, Anna Choromanska, Michael I. Jordan:
Learning to Score Behaviors for Guided Policy Optimization. ICML 2020: 7445-7454 - [c31]Vikas Sindhwani, Hakim Sidahmed, Krzysztof Choromanski, Brandon Jones:
Unsupervised Anomaly Detection for Self-flying Delivery Drones. ICRA 2020: 186-192 - [c30]Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan:
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. IROS 2020: 3769-3776 - [c29]Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly:
Robotic Table Tennis with Model-Free Reinforcement Learning. IROS 2020: 5556-5563 - [c28]Krzysztof Marcin Choromanski, Jared Quincy Davis, Valerii Likhosherstov, Xingyou Song, Jean-Jacques E. Slotine, Jacob Varley, Honglak Lee, Adrian Weller, Vikas Sindhwani:
Ode to an ODE. NeurIPS 2020 - [c27]Han Lin, Haoxian Chen, Krzysztof Marcin Choromanski, Tianyi Zhang, Clement Laroche:
Demystifying Orthogonal Monte Carlo and Beyond. NeurIPS 2020 - [c26]Jack Parker-Holder, Aldo Pacchiano, Krzysztof Marcin Choromanski, Stephen J. Roberts:
Effective Diversity in Population Based Reinforcement Learning. NeurIPS 2020 - 2019
- [c25]Mark Rowland, Jiri Hron, Yunhao Tang, Krzysztof Choromanski, Tamás Sarlós, Adrian Weller:
Orthogonal Estimation of Wasserstein Distances. AISTATS 2019: 186-195 - [c24]Krzysztof Choromanski, Aldo Pacchiano, Jeffrey Pennington, Yunhao Tang:
KAMA-NNs: Low-dimensional Rotation Based Neural Networks. AISTATS 2019: 236-245 - [c23]Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Deepali Jain, Yuxiang Yang, Atil Iscen, Jasmine Hsu, Vikas Sindhwani:
Provably Robust Blackbox Optimization for Reinforcement Learning. CoRL 2019: 683-696 - [c22]Krzysztof Choromanski, Mark Rowland, Wenyu Chen, Adrian Weller:
Unifying Orthogonal Monte Carlo Methods. ICML 2019: 1203-1212 - [c21]Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Vikas Sindhwani:
From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization. NeurIPS 2019: 10299-10309 - 2018
- [c20]Krzysztof Choromanski, Mark Rowland, Tamás Sarlós, Vikas Sindhwani, Richard E. Turner, Adrian Weller:
The Geometry of Random Features. AISTATS 2018: 1-9 - [c19]Krzysztof Choromanski, Carlton Downey, Byron Boots:
Initialization matters: Orthogonal Predictive State Recurrent Neural Networks. ICLR (Poster) 2018 - [c18]Krzysztof Choromanski, Mark Rowland, Vikas Sindhwani, Richard E. Turner, Adrian Weller:
Structured Evolution with Compact Architectures for Scalable Policy Optimization. ICML 2018: 969-977 - [c17]Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Larry J. Ackel, Urs Muller, Philip Yeres, Karol Zieba:
VisualBackProp: Efficient Visualization of CNNs for Autonomous Driving. ICRA 2018: 1-8 - [c16]Krzysztof Choromanski, Atil Iscen, Vikas Sindhwani, Jie Tan, Erwin Coumans:
Optimizing Simulations with Noise-Tolerant Structured Exploration. ICRA 2018: 2970-2977 - [c15]Mark Rowland, Krzysztof Choromanski, François Chalus, Aldo Pacchiano, Tamás Sarlós, Richard E. Turner, Adrian Weller:
Geometrically Coupled Monte Carlo Sampling. NeurIPS 2018: 195-205 - [c14]Arif Khan, Krzysztof Choromanski, Alex Pothen, S. M. Ferdous, Mahantesh Halappanavar, Antonino Tumeo:
Adaptive anonymization of data using b-edge cover. SC 2018: 59:1-59:11 - [c13]Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif:
Graph sketching-based Space-efficient Data Clustering. SDM 2018: 10-18 - [c12]Krzysztof Choromanski, Vikas Sindhwani, Brandon Jones, Damien Jourdan, Maciej Chociej, Byron Boots:
Learning-based Air Data System for Safe and Efficient Control of Fixed-wing Aerial Vehicles. SSRR 2018: 1-8 - 2017
- [c11]Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamás Sarlós, Jamal Atif:
Structured adaptive and random spinners for fast machine learning computations. AISTATS 2017: 1020-1029 - [c10]Krzysztof Marcin Choromanski, Mark Rowland, Adrian Weller:
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings. NIPS 2017: 219-228 - [c9]Krzysztof Marcin Choromanski, Vikas Sindhwani:
On Blackbox Backpropagation and Jacobian Sensing. NIPS 2017: 6521-6529 - 2016
- [c8]Ruiqi Guo, Sanjiv Kumar, Krzysztof Choromanski, David Simcha:
Quantization based Fast Inner Product Search. AISTATS 2016: 482-490 - [c7]Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun:
Binary embeddings with structured hashed projections. ICML 2016: 344-353 - [c6]Krzysztof Choromanski, Vikas Sindhwani:
Recycling Randomness with Structure for Sublinear time Kernel Expansions. ICML 2016: 2502-2510 - [c5]Felix X. Yu, Ananda Theertha Suresh, Krzysztof Marcin Choromanski, Daniel N. Holtmann-Rice, Sanjiv Kumar:
Orthogonal Random Features. NIPS 2016: 1975-1983 - 2015
- [c4]Krzysztof Marcin Choromanski, Afshin Rostamizadeh, Umar Syed:
An Optimal Online Algorithm For Retrieving Heavily Perturbed Statistical Databases In The Low-Dimensional Querying Model. CIKM 2015: 1381-1390 - 2013
- [c3]Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni:
Differentially-Private Learning of Low Dimensional Manifolds. ALT 2013: 249-263 - [c2]Krzysztof Choromanski, Tony Jebara, Kui Tang:
Adaptive Anonymity via b-Matching. NIPS 2013: 3192-3200 - 2012
- [c1]Krzysztof Choromanski, Tal Malkin:
The power of the dinur-nissim algorithm: breaking privacy of statistical and graph databases. PODS 2012: 65-76
Informal and Other Publications
- 2023
- [i76]Isaac Reid, Krzysztof Choromanski, Valerii Likhosherstov, Adrian Weller:
Simplex Random Features. CoRR abs/2301.13856 (2023) - [i75]Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamás Sarlós, Adrian Weller:
FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features. CoRR abs/2302.00787 (2023) - [i74]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:
Efficient Graph Field Integrators Meet Point Clouds. CoRR abs/2302.00942 (2023) - [i73]Deepali Jain, Krzysztof Marcin Choromanski, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan, Avinava Dubey:
Mnemosyne: Learning to Train Transformers with Transformers. CoRR abs/2302.01128 (2023) - [i72]Krzysztof Marcin Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamás Sarlós, Thomas Weingarten, Adrian Weller:
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. CoRR abs/2302.01925 (2023) - [i71]Rami Botros, Anmol Gulati, Tara N. Sainath, Krzysztof Choromanski, Ruoming Pang, Trevor Strohman, Weiran Wang, Jiahui Yu:
Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR. CoRR abs/2304.00171 (2023) - [i70]Krzysztof Choromanski:
Taming graph kernels with random features. CoRR abs/2305.00156 (2023) - [i69]Isaac Reid, Krzysztof Choromanski, Adrian Weller:
Quasi-Monte Carlo Graph Random Features. CoRR abs/2305.12470 (2023) - [i68]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:
Agile Catching with Whole-Body MPC and Blackbox Policy Learning. CoRR abs/2306.08205 (2023) - [i67]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:
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRR abs/2307.15818 (2023) - [i66]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:
Robotic Table Tennis: A Case Study into a High Speed Learning System. CoRR abs/2309.03315 (2023) - [i65]Haozhe Shan, Albert Gu, Zhong Meng, Weiran Wang, Krzysztof Choromanski, Tara N. Sainath:
Augmenting conformers with structured state space models for online speech recognition. CoRR abs/2309.08551 (2023) - [i64]Isaac Reid, Eli Berger, Krzysztof Choromanski, Adrian Weller:
Repelling Random Walks. CoRR abs/2310.04854 (2023) - [i63]Isaac Reid, Krzysztof Choromanski, Eli Berger, Adrian Weller:
Universal Graph Random Features. CoRR abs/2310.04859 (2023) - [i62]Arijit Sehanobish, Krzysztof Choromanski, Yunfan Zhao, Avinava Dubey, Valerii Likhosherstov:
Scalable Neural Network Kernels. CoRR abs/2310.13225 (2023) - [i61]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:
SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. CoRR abs/2312.01990 (2023) - 2022
- [i60]Andy Zeng, Adrian Wong, Stefan Welker, Krzysztof Choromanski, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence:
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. CoRR abs/2204.00598 (2022) - [i59]Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamás Sarlós, Adrian Weller:
Chefs' Random Tables: Non-Trigonometric Random Features. CoRR abs/2205.15317 (2022) - [i58]Saminda Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Choromanski, Pannag R. Sanketi:
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. CoRR abs/2207.06572 (2022) - [i57]Yunfan Zhao, Qingkai Pan, Krzysztof Choromanski, Deepali Jain, Vikas Sindhwani:
Implicit Two-Tower Policies. CoRR abs/2208.01191 (2022) - [i56]David Watkins-Valls, Peter E. Allen, Krzysztof Choromanski, Jacob Varley, Nicholas R. Waytowich:
Multiple View Performers for Shape Completion. CoRR abs/2209.06291 (2022) - [i55]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:
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation. CoRR abs/2209.10780 (2022) - [i54]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:
Automated Deep Aberration Detection from Chromosome Karyotype Images. CoRR abs/2211.14312 (2022) - 2021
- [i53]Mircea Trofin, Yundi Qian, Eugene Brevdo, Zinan Lin, Krzysztof Choromanski, David Li:
MLGO: a Machine Learning Guided Compiler Optimizations Framework. CoRR abs/2101.04808 (2021) - [i52]Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Yuxiang Yang:
ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning. CoRR abs/2101.07415 (2021) - [i51]Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller:
Unlocking Pixels for Reinforcement Learning via Implicit Attention. CoRR abs/2102.04353 (2021) - [i50]Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Davis, Adrian Weller:
Debiasing a First-order Heuristic for Approximate Bi-level Optimization. CoRR abs/2106.02487 (2021) - [i49]Valerii Likhosherstov, Krzysztof Choromanski, Adrian Weller:
On the Expressive Power of Self-Attention Matrices. CoRR abs/2106.03764 (2021) - [i48]Krzysztof Choromanski, Han Lin, Haoxian Chen, Jack Parker-Holder:
Graph Kernel Attention Transformers. CoRR abs/2107.07999 (2021) - [i47]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:
Hybrid Random Features. CoRR abs/2110.04367 (2021) - [i46]Valerii Likhosherstov, Anurag Arnab, Krzysztof Choromanski, Mario Lucic, Yi Tay, Adrian Weller, Mostafa Dehghani:
PolyViT: Co-training Vision Transformers on Images, Videos and Audio. CoRR abs/2111.12993 (2021) - 2020
- [i45]Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts:
Effective Diversity in Population-Based Reinforcement Learning. CoRR abs/2002.00632 (2020) - [i44]Philip J. Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts:
Ready Policy One: World Building Through Active Learning. CoRR abs/2002.02693 (2020) - [i43]Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan:
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. CoRR abs/2003.01239 (2020) - [i42]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:
Stochastic Flows and Geometric Optimization on the Orthogonal Group. CoRR abs/2003.13563 (2020) - [i41]Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly:
Robotic Table Tennis with Model-Free Reinforcement Learning. CoRR abs/2003.14398 (2020) - [i40]Valerii Likhosherstov, Jared Davis, Krzysztof Choromanski, Adrian Weller:
CWY Parametrization for Scalable Learning of Orthogonal and Stiefel Matrices. CoRR abs/2004.08675 (2020) - [i39]Jared Quincy Davis, Krzysztof Choromanski, Jake Varley, Honglak Lee, Jean-Jacques E. Slotine, Valerii Likhosterov, Adrian Weller, Ameesh Makadia, Vikas Sindhwani:
Time Dependence in Non-Autonomous Neural ODEs. CoRR abs/2005.01906 (2020) - [i38]Han Lin, Haoxian Chen, Tianyi Zhang, Clement Laroche, Krzysztof Choromanski:
Demystifying Orthogonal Monte Carlo and Beyond. CoRR abs/2005.13590 (2020) - [i37]Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Jared Davis, Tamás Sarlós, David Belanger, Lucy J. Colwell, Adrian Weller:
Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers. CoRR abs/2006.03555 (2020) - [i36]Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Davis, Adrian Weller:
UFO-BLO: Unbiased First-Order Bilevel Optimization. CoRR abs/2006.03631 (2020) - [i35]Yunhao Tang, Krzysztof Choromanski:
Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies. CoRR abs/2006.07554 (2020) - [i34]Krzysztof Choromanski, Jared Quincy Davis, Valerii Likhosherstov, Xingyou Song, Jean-Jacques E. Slotine, Jacob Varley, Honglak Lee, Adrian Weller, Vikas Sindhwani:
An Ode to an ODE. CoRR abs/2006.11421 (2020) - [i33]Aldo Pacchiano, Philip J. Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts:
On Optimism in Model-Based Reinforcement Learning. CoRR abs/2006.11911 (2020) - [i32]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:
Rethinking Attention with Performers. CoRR abs/2009.14794 (2020) - [i31]Valerii Likhosherstov, Krzysztof Choromanski, Jared Davis, Xingyou Song, Adrian Weller:
Sub-Linear Memory: How to Make Performers SLiM. CoRR abs/2012.11346 (2020) - 2019
- [i30]Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Jasmine Hsu, Atil Iscen, Deepali Jain, Vikas Sindhwani:
When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies. CoRR abs/1903.02993 (2019) - [i29]Mark Rowland, Jiri Hron, Yunhao Tang, Krzysztof Choromanski, Tamás Sarlós, Adrian Weller:
Orthogonal Estimation of Wasserstein Distances. CoRR abs/1903.03784 (2019) - [i28]Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang:
Adaptive Sample-Efficient Blackbox Optimization via ES-active Subspaces. CoRR abs/1903.04268 (2019) - [i27]Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang:
Structured Monte Carlo Sampling for Nonisotropic Distributions via Determinantal Point Processes. CoRR abs/1905.12667 (2019) - [i26]Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Anna Choromanska, Krzysztof Choromanski, Michael I. Jordan:
Wasserstein Reinforcement Learning. CoRR abs/1906.04349 (2019) - [i25]Yunhao Tang, Krzysztof Choromanski, Alp Kucukelbir:
Variance Reduction for Evolution Strategies via Structured Control Variates. CoRR abs/1906.08868 (2019) - [i24]Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Deepali Jain, Yuxiang Yang:
Reinforcement Learning with Chromatic Networks. CoRR abs/1907.06511 (2019) - [i23]Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang:
ES-MAML: Simple Hessian-Free Meta Learning. CoRR abs/1910.01215 (2019) - 2018
- [i22]Anne Morvan, Antoine Souloumiac, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif:
On the Needs for Rotations in Hypercubic Quantization Hashing. CoRR abs/1802.03936 (2018) - [i21]Krzysztof Choromanski, Mark Rowland, Vikas Sindhwani, Richard E. Turner, Adrian Weller:
Structured Evolution with Compact Architectures for Scalable Policy Optimization. CoRR abs/1804.02395 (2018) - [i20]Krzysztof Choromanski, Atil Iscen, Vikas Sindhwani, Jie Tan, Erwin Coumans:
Optimizing Simulations with Noise-Tolerant Structured Exploration. CoRR abs/1805.07831 (2018) - 2017
- [i19]Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif:
Graph sketching-based Massive Data Clustering. CoRR abs/1703.02375 (2017) - [i18]Mariusz Bojarski, Philip Yeres, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Lawrence D. Jackel, Urs Muller:
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car. CoRR abs/1704.07911 (2017) - [i17]Xinyan Yan, Krzysztof Choromanski, Byron Boots, Vikas Sindhwani:
Manifold Regularization for Kernelized LSTD. CoRR abs/1710.05387 (2017) - 2016
- [i16]Krzysztof Choromanski, Francois Fagan:
Fast nonlinear embeddings via structured matrices. CoRR abs/1604.07356 (2016) - [i15]Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski:
On the boosting ability of top-down decision tree learning algorithm for multiclass classification. CoRR abs/1605.05223 (2016) - [i14]Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Tamás Sarlós, Jamal Atif:
TripleSpin - a generic compact paradigm for fast machine learning computations. CoRR abs/1605.09046 (2016) - [i13]Krzysztof Choromanski, Vikas Sindhwani:
Recycling Randomness with Structure for Sublinear time Kernel Expansions. CoRR abs/1605.09049 (2016) - [i12]Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamás Sarlós, Jamal Atif:
Structured adaptive and random spinners for fast machine learning computations. CoRR abs/1610.06209 (2016) - [i11]Felix X. Yu, Ananda Theertha Suresh, Krzysztof Choromanski, Daniel N. Holtmann-Rice, Sanjiv Kumar:
Orthogonal Random Features. CoRR abs/1610.09072 (2016) - [i10]Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Larry D. Jackel, Urs Muller, Karol Zieba:
VisualBackProp: visualizing CNNs for autonomous driving. CoRR abs/1611.05418 (2016) - 2015
- [i9]Krzysztof Choromanski, Afshin Rostamizadeh, Umar Syed:
An $\tilde{O}(\frac{1}{\sqrt{T}})$-error online algorithm for retrieving heavily perturbated statistical databases in the low-dimensional querying mode. CoRR abs/1504.01117 (2015) - [i8]Krzysztof Choromanski:
Learning how to rank from heavily perturbed statistics - digraph clustering approach. CoRR abs/1504.01118 (2015) - [i7]Krzysztof Choromanski, Tony Jebara:
Coloring tournaments with forbidden substructures. CoRR abs/1504.01119 (2015) - [i6]Krzysztof Choromanski:
Efficient data hashing with structured binary embeddings. CoRR abs/1505.03190 (2015) - [i5]Krzysztof Choromanski, Sanjiv Kumar, Xiaofeng Liu:
Fast Online Clustering with Randomized Skeleton Sets. CoRR abs/1506.03425 (2015) - [i4]Ruiqi Guo, Sanjiv Kumar, Krzysztof Choromanski, David Simcha:
Quantization based Fast Inner Product Search. CoRR abs/1509.01469 (2015) - [i3]Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun:
Binary embeddings with structured hashed projections. CoRR abs/1511.05212 (2015) - 2014
- [i2]Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Yann LeCun:
Differentially- and non-differentially-private random decision trees. CoRR abs/1410.6973 (2014) - [i1]Apoorv Agarwal, Anna Choromanska, Krzysztof Choromanski:
Notes on using Determinantal Point Processes for Clustering with Applications to Text Clustering. CoRR abs/1410.6975 (2014)
Coauthor Index
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