Grzegorz Swirszcz

According to our database, Grzegorz Swirszcz authored at least 27 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Stepping on the Edge: Curvature Aware Learning Rate Tuners.

Vincent Roulet, Atish Agarwala, Jean-Bastien Grill, Grzegorz Swirszcz, Mathieu Blondel, Fabian Pedregosa

CoRR, 2024

2022

Discovering faster matrix multiplication algorithms with reinforcement learning.

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

Nat., 2022

2021

Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping.

James Martens, Andy Ballard, Guillaume Desjardins, Grzegorz Swirszcz, Valentin Dalibard, Jascha Sohl-Dickstein, Samuel S. Schoenholz

CoRR, 2021

Gradient Forward-Propagation for Large-Scale Temporal Video Modelling.

Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Sideways: Depth-Parallel Training of Video Models.

Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Verification of Non-Linear Specifications for Neural Networks.

Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli

Proceedings of the 7th International Conference on Learning Representations, 2019

Distilling Policy Distillation.

Wojciech M. Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles.

Edward Grefenstette, Robert Stanforth, Brendan O'Donoghue, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli

CoRR, 2018

2017

Sobolev Training for Neural Networks.

Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Understanding Synthetic Gradients and Decoupled Neural Interfaces.

Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Local minima in training of deep networks.

Grzegorz Swirszcz, Wojciech Marian Czarnecki, Razvan Pascanu

CoRR, 2016

2015

Approximation algorithms for the joint replenishment problem with deadlines.

Marcin Bienkowski, Jaroslaw Byrka, Marek Chrobak, Neil B. Dobbs, Tomasz Nowicki, Maxim Sviridenko, Grzegorz Swirszcz, Neal E. Young

J. Sched., 2015

Distance Geometry on the Sphere.

Leo Liberti, Grzegorz Swirszcz, Carlile Lavor

Proceedings of the Discrete and Computational Geometry and Graphs - 18th Japan Conference, 2015

2014

Lattice-free sets, multi-branch split disjunctions, and mixed-integer programming.

Sanjeeb Dash, Neil B. Dobbs, Oktay Günlük, Tomasz Nowicki, Grzegorz Swirszcz

Math. Program., 2014

2012

Multi-level Lasso for Sparse Multi-task Regression.

Aurélie C. Lozano, Grzegorz Swirszcz

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Group Orthogonal Matching Pursuit for Logistic Regression.

Aurélie C. Lozano, Grzegorz Swirszcz, Naoki Abe

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

2010

On cross-validation and stacking: building seemingly predictive models on random data.

Claudia Perlich, Grzegorz Swirszcz

SIGKDD Explor., 2010

Medical data mining: insights from winning two competitions.

Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu

Data Min. Knowl. Discov., 2010

Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report.

Wei Shen, Yiannis Kamarianakis, Laura Wynter, Jingrui He, Qing He, Rick Lawrence, Grzegorz Swirszcz

Proceedings of the ICDMW 2010, 2010

Ensemble-Based Method for Task 2: Predicting Traffic Jam.

Jingrui He, Qing He, Grzegorz Swirszcz, Yiannis Kamarianakis, Rick Lawrence, Wei Shen, Laura Wynter

Proceedings of the ICDMW 2010, 2010

2009

Winning the KDD Cup Orange Challenge with Ensemble Selection.

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

Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction.

Aurélie C. Lozano, Grzegorz Swirszcz, Naoki Abe

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Breast cancer identification: KDD CUP winner's report.

Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset

SIGKDD Explor., 2008

2007

Inventory allocation and transportation scheduling for logistics of network-centric military operations.

Francisco Barahona, Pawan Chowdhary, Markus Ettl, Pu Huang, Tracy Kimbrel, Laszlo Ladányi, Young M. Lee, Baruch Schieber, Karthik Sourirajan, Maxim Sviridenko, Grzegorz Swirszcz

IBM J. Res. Dev., 2007

<i>l</i>₁ Regularization in Infinite Dimensional Feature Spaces.

Saharon Rosset, Grzegorz Swirszcz, Nathan Srebro, Ji Zhu

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006

Maximum weight independent sets and matchings in sparse random graphs. Exact results using the local weak convergence method.

David Gamarnik, Tomasz Nowicki, Grzegorz Swirszcz

Random Struct. Algorithms, 2006

2005

An Algorithm for Finding Invariant Algebraic Curves of a Given Degree for Polynomial Planar Vector Fields.

Grzegorz Swirszcz

Int. J. Bifurc. Chaos, 2005