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2020 – today
- 2024
[i10]Vincent Roulet, Atish Agarwala, Jean-Bastien Grill, Grzegorz Swirszcz, Mathieu Blondel, Fabian Pedregosa:
Stepping on the Edge: Curvature Aware Learning Rate Tuners. CoRR abs/2407.06183 (2024)- 2022
- [j9]Alhussein Fawzi
, Matej Balog, Aja Huang, Thomas Hubert, Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Francisco J. R. Ruiz, Julian Schrittwieser, Grzegorz Swirszcz, David Silver, Demis Hassabis, Pushmeet Kohli:
Discovering faster matrix multiplication algorithms with reinforcement learning. Nat. 610(7930): 47-53 (2022) - 2021
- [c16]Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira:
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CVPR 2021: 9249-9259 - [i9]Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira:
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CoRR abs/2106.08318 (2021) - [i8]James Martens, Andy Ballard, Guillaume Desjardins, Grzegorz Swirszcz, Valentin Dalibard, Jascha Sohl-Dickstein, Samuel S. Schoenholz:
Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping. CoRR abs/2110.01765 (2021) - 2020
- [c15]Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean:
Sideways: Depth-Parallel Training of Video Models. CVPR 2020: 11831-11840 - [i7]Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean:
Sideways: Depth-Parallel Training of Video Models. CoRR abs/2001.06232 (2020)
2010 – 2019
- 2019
- [c14]Wojciech M. Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg:
Distilling Policy Distillation. AISTATS 2019: 1331-1340 - [c13]Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli:
Verification of Non-Linear Specifications for Neural Networks. ICLR (Poster) 2019 - [i6]Wojciech Marian Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg:
Distilling Policy Distillation. CoRR abs/1902.02186 (2019) - [i5]Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli:
Verification of Non-Linear Specifications for Neural Networks. CoRR abs/1902.09592 (2019) - 2018
- [i4]Edward Grefenstette, Robert Stanforth, Brendan O'Donoghue, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli:
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles. CoRR abs/1811.09300 (2018) - 2017
- [c12]Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu:
Understanding Synthetic Gradients and Decoupled Neural Interfaces. ICML 2017: 904-912 - [c11]Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu:
Sobolev Training for Neural Networks. NIPS 2017: 4278-4287 - [i3]Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu:
Understanding Synthetic Gradients and Decoupled Neural Interfaces. CoRR abs/1703.00522 (2017) - [i2]Wojciech Marian Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu:
Sobolev Training for Neural Networks. CoRR abs/1706.04859 (2017) - 2016
- [i1]Grzegorz Swirszcz, Wojciech Marian Czarnecki, Razvan Pascanu:
Local minima in training of deep networks. CoRR abs/1611.06310 (2016) - 2015
- [j8]Marcin Bienkowski, Jaroslaw Byrka, Marek Chrobak, Neil B. Dobbs, Tomasz Nowicki, Maxim Sviridenko, Grzegorz Swirszcz, Neal E. Young:
Approximation algorithms for the joint replenishment problem with deadlines. J. Sched. 18(6): 545-560 (2015) - [c10]Leo Liberti, Grzegorz Swirszcz, Carlile Lavor:
Distance Geometry on the Sphere. JCDCGG 2015: 204-215 - 2014
- [j7]Sanjeeb Dash, Neil B. Dobbs, Oktay Günlük, Tomasz Nowicki, Grzegorz Swirszcz:
Lattice-free sets, multi-branch split disjunctions, and mixed-integer programming. Math. Program. 145(1-2): 483-508 (2014) - 2013
- [c9]Marcin Bienkowski, Jaroslaw Byrka, Marek Chrobak, Neil B. Dobbs, Tomasz Nowicki, Maxim Sviridenko, Grzegorz Swirszcz, Neal E. Young:
Approximation Algorithms for the Joint Replenishment Problem with Deadlines. ICALP (1) 2013: 135-147 - 2012
- [c8]Aurélie C. Lozano, Grzegorz Swirszcz:
Multi-level Lasso for Sparse Multi-task Regression. ICML 2012 - 2011
- [c7]Aurélie C. Lozano, Grzegorz Swirszcz, Naoki Abe:
Group Orthogonal Matching Pursuit for Logistic Regression. AISTATS 2011: 452-460 - 2010
- [j6]Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu:
Medical data mining: insights from winning two competitions. Data Min. Knowl. Discov. 20(3): 439-468 (2010) - [j5]Claudia Perlich, Grzegorz Swirszcz:
On cross-validation and stacking: building seemingly predictive models on random data. SIGKDD Explor. 12(2): 11-15 (2010) - [c6]Jingrui He, Qing He, Grzegorz Swirszcz, Yiannis Kamarianakis, Rick Lawrence, Wei Shen, Laura Wynter:
Ensemble-Based Method for Task 2: Predicting Traffic Jam. ICDM Workshops 2010: 1363-1365 - [c5]Wei Shen, Yiannis Kamarianakis, Laura Wynter, Jingrui He, Qing He, Rick Lawrence, Grzegorz Swirszcz:
Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report. ICDM Workshops 2010: 1369-1371
2000 – 2009
- 2009
- [c4]Aurélie C. Lozano, Grzegorz Swirszcz, Naoki Abe:
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction. NIPS 2009: 1150-1158 - [c3]Alexandru Niculescu-Mizil, Claudia Perlich, Grzegorz Swirszcz, Vikas Sindhwani, Yan Liu, Prem Melville, Dong Wang, Jing Xiao, Jianying Hu, Moninder Singh, Wei Xiong Shang, Yanfeng Zhu:
Winning the KDD Cup Orange Challenge with Ensemble Selection. KDD Cup 2009: 23-34 - 2008
- [j4]Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset:
Breast cancer identification: KDD CUP winner's report. SIGKDD Explor. 10(2): 39-42 (2008) - 2007
- [j3]Francisco Barahona, Pawan Chowdhary, Markus Ettl, Pu Huang, Tracy Kimbrel, Laszlo Ladányi, Young M. Lee, Baruch Schieber, Karthik Sourirajan, Maxim Sviridenko, Grzegorz Swirszcz:
Inventory allocation and transportation scheduling for logistics of network-centric military operations. IBM J. Res. Dev. 51(3/4): 391-408 (2007) - [c2]Saharon Rosset, Grzegorz Swirszcz, Nathan Srebro, Ji Zhu:
l1 Regularization in Infinite Dimensional Feature Spaces. COLT 2007: 544-558 - 2006
- [j2]David Gamarnik, Tomasz Nowicki, Grzegorz Swirszcz:
Maximum weight independent sets and matchings in sparse random graphs. Exact results using the local weak convergence method. Random Struct. Algorithms 28(1): 76-106 (2006) - 2005
- [j1]Grzegorz Swirszcz:
An Algorithm for Finding Invariant Algebraic Curves of a Given Degree for Polynomial Planar Vector Fields. Int. J. Bifurc. Chaos 15(3): 1033-1044 (2005) - 2004
- [c1]David Gamarnik, Tomasz Nowicki, Grzegorz Swirszcz:
Maximum Weight Independent Sets and Matchings in Sparse Random Graphs. Exact Results Using the Local Weak Convergence Method. APPROX-RANDOM 2004: 357-368
Coauthor Index
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last updated on 2024-08-13 21:51 CEST by the dblp team
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