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Kamil Rocki
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Conference and Workshop Papers
- 2020
- [c17]Kamil Rocki, Dirk Van Essendelft, Ilya Sharapov, Robert Schreiber, Michael Morrison, Vladimir Kibardin, Andrey Portnoy, Jean-Francois Dietiker, Madhava Syamlal
, Michael James:
Fast stencil-code computation on a wafer-scale processor. SC 2020: 58 - 2017
- [c16]Tomasz Kornuta
, Kamil Rocki:
Utilization of Deep Reinforcement Learning for Saccadic-Based Object Visual Search. AUTOMATION 2017: 565-574 - 2015
- [c15]Mackenzie Leake, Liyu Xia, Kamil Rocki, Wayne Imaino:
Effect of Spatial Pooler Initialization on Column Activity in Hierarchical Temporal Memory. AAAI 2015: 4176-4177 - 2014
- [c14]Kamil Rocki, Martin Burtscher, Reiji Suda:
The future of accelerator programming: abstraction, performance or can we have both? SAC 2014: 886-895 - 2013
- [c13]Kamil Rocki, Martin Burtscher, Reiji Suda:
The Future of Accelerator Programming: Abstraction, Performance or Can We Have Both? ICPADS 2013: 442-443 - [c12]Kamil Rocki, Reiji Suda:
High Performance GPU Accelerated Local Optimization in TSP. IPDPS Workshops 2013: 1788-1796 - [c11]Tian Xiaochen, Kamil Rocki, Reiji Suda:
Register level sort algorithm on multi-core SIMD processors. IA3@SC 2013: 9:1-9:8 - 2012
- [c10]Kamil Rocki, Reiji Suda:
Accelerating 2-opt and 3-opt Local Search Using GPU in the Travelling Salesman Problem. CCGRID 2012: 705-706 - [c9]Kamil Rocki, Reiji Suda:
An efficient GPU implementation of a multi-start TSP solver for large problem instances. GECCO (Companion) 2012: 1441-1442 - [c8]Kamil Rocki, Reiji Suda:
Accelerating 2-opt and 3-opt local search using GPU in the travelling salesman problem. HPCS 2012: 489-495 - [c7]Kamil Rocki, Reiji Suda:
Abstract: High Performance GPU Accelerated TSP Solver. SC Companion 2012: 1411-1412 - [c6]Kamil Rocki, Reiji Suda:
Poster: High Performance GPU Accelerated TSP Solver. SC Companion 2012: 1413-1414 - [c5]Kamil Rocki, Reiji Suda:
Brief announcement: a GPU accelerated iterated local search TSP solver. SPAA 2012: 188-189 - 2011
- [c4]Kamil Rocki, Reiji Suda:
Parallel Monte Carlo Tree Search Scalability Discussion. Australasian Conference on Artificial Intelligence 2011: 452-461 - [c3]Kamil Rocki, Reiji Suda:
Large-Scale Parallel Monte Carlo Tree Search on GPU. IPDPS Workshops 2011: 2034-2037 - [c2]Kamil Rocki, Reiji Suda:
Parallel Monte Carlo Tree Search on GPU. SCAI 2011: 80-89 - 2009
- [c1]Kamil Rocki, Reiji Suda:
Parallel Minimax Tree Searching on GPU. PPAM (1) 2009: 449-456
Informal and Other Publications
- 2021
- [i9]Alexander Lavin, Hector Zenil, Brooks Paige, David Krakauer, Justin Gottschlich, Tim Mattson, Anima Anandkumar, Sanjay Choudry, Kamil Rocki, Atilim Günes Baydin, Carina Prunkl, Olexandr Isayev, Erik Peterson, Peter L. McMahon, Jakob H. Macke, Kyle Cranmer, Jiaxin Zhang, Haruko M. Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer:
Simulation Intelligence: Towards a New Generation of Scientific Methods. CoRR abs/2112.03235 (2021) - 2020
- [i8]Kamil Rocki, Dirk Van Essendelft, Ilya Sharapov, Robert Schreiber, Michael Morrison, Vladimir Kibardin, Andrey Portnoy, Jean-Francois Dietiker, Madhava Syamlal, Michael James:
Fast Stencil-Code Computation on a Wafer-Scale Processor. CoRR abs/2010.03660 (2020) - 2018
- [i7]T. S. Jayram, Younes Bouhadjar, Ryan L. McAvoy, Tomasz Kornuta, Alexis Asseman, Kamil Rocki, Ahmet S. Ozcan:
Learning to Remember, Forget and Ignore using Attention Control in Memory. CoRR abs/1809.11087 (2018) - 2016
- [i6]Kamil Rocki:
Towards Machine Intelligence. CoRR abs/1603.08262 (2016) - [i5]Kamil Rocki:
Recurrent Memory Array Structures. CoRR abs/1607.03085 (2016) - [i4]Kamil Rocki:
Surprisal-Driven Feedback in Recurrent Networks. CoRR abs/1608.06027 (2016) - [i3]Tomasz Kornuta, Kamil Rocki:
Utilization of Deep Reinforcement Learning for saccadic-based object visual search. CoRR abs/1610.06492 (2016) - [i2]Kamil Rocki, Tomasz Kornuta, Tegan Maharaj:
Surprisal-Driven Zoneout. CoRR abs/1610.07675 (2016) - 2015
- [i1]Kamil Rocki:
Thinking Required. CoRR abs/1512.01926 (2015)
Coauthor Index
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