Grzegorz Swirszcz

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 17

Top Topics

Temporal Segmentation

Matrix Multiplication

Spatio Temporally

Top Venues

Publications

Vincent Roulet, Atish Agarwala, Jean-Bastien Grill, Grzegorz Swirszcz, Mathieu Blondel, Fabian Pedregosa
Stepping on the Edge: Curvature Aware Learning Rate Tuners. CoRR (2024)
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) (2022)
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 (2021)
Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CoRR (2021)
Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CVPR (2021)
Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
Sideways: Depth-Parallel Training of Video Models. CVPR (2020)
Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
Sideways: Depth-Parallel Training of Video Models. CoRR (2020)
Wojciech M. Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg
Distilling Policy Distillation. AISTATS (2019)
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 (2019)
Wojciech Marian Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg
Distilling Policy Distillation. CoRR (2019)
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)
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 (2018)
Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu
Understanding Synthetic Gradients and Decoupled Neural Interfaces. CoRR (2017)
Wojciech Marian Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu
Sobolev Training for Neural Networks. CoRR (2017)
Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu
Sobolev Training for Neural Networks. NIPS (2017)
Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu
Understanding Synthetic Gradients and Decoupled Neural Interfaces. ICML (2017)
Grzegorz Swirszcz, Wojciech Marian Czarnecki, Razvan Pascanu
Local minima in training of deep networks. CoRR (2016)
Leo Liberti, Grzegorz Swirszcz, Carlile Lavor
Distance Geometry on the Sphere. JCDCGG (2015)
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) (2015)
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) (2014)
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)
Aurelie C. Lozano, Grzegorz Swirszcz
Multi-level Lasso for Sparse Multi-task Regression. ICML (2012)
Aurelie C. Lozano, Grzegorz Swirszcz, Naoki Abe
Group Orthogonal Matching Pursuit for Logistic Regression. AISTATS (2011)
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)
Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu
Medical data mining: insights from winning two competitions. Data Min. Knowl. Discov. 20 (3) (2010)
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)
Claudia Perlich, Grzegorz Swirszcz
On cross-validation and stacking: building seemingly predictive models on random data. SIGKDD Explor. 12 (2) (2010)
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)
Aurelie C. Lozano, Grzegorz Swirszcz, Naoki Abe
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction. NIPS (2009)
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) (2008)
Saharon Rosset, Grzegorz Swirszcz, Nathan Srebro, Ji Zhu
Regularization in Infinite Dimensional Feature Spaces. COLT (2007)
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) (2007)
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) (2006)
Grzegorz Swirszcz
An Algorithm for Finding Invariant Algebraic Curves of a Given Degree for Polynomial Planar Vector Fields. Int. J. Bifurc. Chaos 15 (3) (2005)
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)