Grzegorz Swirszcz

According to our database1, Grzegorz Swirszcz authored at least 26 papers between 2005 and 2022.

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Bibliography

2022
Discovering faster matrix multiplication algorithms with reinforcement learning.
Nat., 2022

2021
Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping.
CoRR, 2021

Gradient Forward-Propagation for Large-Scale Temporal Video Modelling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Sideways: Depth-Parallel Training of Video Models.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Verification of Non-Linear Specifications for Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Distilling Policy Distillation.
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.
CoRR, 2018

2017
Sobolev Training for Neural Networks.
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.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Local minima in training of deep networks.
CoRR, 2016

2015
Approximation algorithms for the joint replenishment problem with deadlines.
J. Sched., 2015

Distance Geometry on the Sphere.
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.
Math. Program., 2014

2012
Multi-level Lasso for Sparse Multi-task Regression.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Group Orthogonal Matching Pursuit for Logistic Regression.
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.
SIGKDD Explor., 2010

Medical data mining: insights from winning two competitions.
Data Min. Knowl. Discov., 2010

Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report.
Proceedings of the ICDMW 2010, 2010

Ensemble-Based Method for Task 2: Predicting Traffic Jam.
Proceedings of the ICDMW 2010, 2010

2009
Winning the KDD Cup Orange Challenge with Ensemble Selection.
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction.
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.
SIGKDD Explor., 2008

2007
Inventory allocation and transportation scheduling for logistics of network-centric military operations.
IBM J. Res. Dev., 2007

<i>l</i><sub>1</sub> Regularization in Infinite Dimensional Feature Spaces.
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.
Random Struct. Algorithms, 2006

2005
An Algorithm for Finding Invariant Algebraic Curves of a Given Degree for Polynomial Planar Vector Fields.
Int. J. Bifurc. Chaos, 2005


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