Grzegorz Swirszcz

37 papers A* 5A 2Journal 21Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advancing Geometry with AI: Multi-agent Generation of Polytopes. CoRR Grzegorz Swirszcz, Adam Zsolt Wagner, Geordie Williamson, Sam Blackwell, Bogdan Georgiev, Alex Davies, S. M. Ali Eslami, Sébastien Racanière, Theophane Weber, Pushmeet Kohli
2025	J	`jnl`	Drums of high width. CoRR Alex Davies, Prateek Gupta, Sébastien Racanière, Grzegorz Swirszcz, Adam Zsolt Wagner, Theophane Weber, Geordie Williamson
2024	A*	`conf`	Stepping on the Edge: Curvature Aware Learning Rate Tuners. NeurIPS Vincent Roulet, Atish Agarwala, Jean-Bastien Grill, Grzegorz Swirszcz, Mathieu Blondel, Fabian Pedregosa
2024	J	`jnl`	Stepping on the Edge: Curvature Aware Learning Rate Tuners. CoRR Vincent Roulet, Atish Agarwala, Jean-Bastien Grill, Grzegorz Swirszcz, Mathieu Blondel, Fabian Pedregosa
2022	J	`jnl`	Discovering faster matrix multiplication algorithms with reinforcement learning. Nat. 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
2021	A*	`conf`	Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CVPR Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira
2021	J	`jnl`	Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CoRR Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira
2021	J	`jnl`	Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping. CoRR James Martens, Andy Ballard, Guillaume Desjardins, Grzegorz Swirszcz, Valentin Dalibard, Jascha Sohl-Dickstein, Samuel S. Schoenholz
2020	A*	`conf`	Sideways: Depth-Parallel Training of Video Models. CVPR Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
2020	J	`jnl`	Sideways: Depth-Parallel Training of Video Models. CoRR Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
2019	A	`conf`	Distilling Policy Distillation. AISTATS Wojciech M. Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg
2019	J	`jnl`	Distilling Policy Distillation. CoRR Wojciech Marian Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg
2019	—	`conf`	Verification of Non-Linear Specifications for Neural Networks. ICLR (Poster) Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli
2019	J	`jnl`	Verification of Non-Linear Specifications for Neural Networks. CoRR Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli
2018	J	`jnl`	Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles. CoRR Edward Grefenstette, Robert Stanforth, Brendan O'Donoghue, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli
2017	—	`conf`	Sobolev Training for Neural Networks. NIPS Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu
2017	J	`jnl`	Sobolev Training for Neural Networks. CoRR Wojciech Marian Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu
2017	A*	`conf`	Understanding Synthetic Gradients and Decoupled Neural Interfaces. ICML Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu
2017	J	`jnl`	Understanding Synthetic Gradients and Decoupled Neural Interfaces. CoRR Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu
2016	J	`jnl`	Local minima in training of deep networks. CoRR Grzegorz Swirszcz, Wojciech Marian Czarnecki, Razvan Pascanu
2015	J	`jnl`	Approximation algorithms for the joint replenishment problem with deadlines. J. Sched. Marcin Bienkowski, Jaroslaw Byrka, Marek Chrobak, Neil B. Dobbs, Tomasz Nowicki, Maxim Sviridenko, Grzegorz Swirszcz, Neal E. Young
2015	—	`conf`	Distance Geometry on the Sphere. JCDCGG Leo Liberti, Grzegorz Swirszcz, Carlile Lavor
2014	J	`jnl`	Lattice-free sets, multi-branch split disjunctions, and mixed-integer programming. Math. Program. Sanjeeb Dash, Neil B. Dobbs, Oktay Günlük, Tomasz Nowicki, Grzegorz Swirszcz
2013	—	`conf`	Approximation Algorithms for the Joint Replenishment Problem with Deadlines. ICALP (1) Marcin Bienkowski, Jaroslaw Byrka, Marek Chrobak, Neil B. Dobbs, Tomasz Nowicki, Maxim Sviridenko, Grzegorz Swirszcz, Neal E. Young
2012	A*	`conf`	Multi-level Lasso for Sparse Multi-task Regression. ICML Aurélie C. Lozano, Grzegorz Swirszcz
2011	A	`conf`	Group Orthogonal Matching Pursuit for Logistic Regression. AISTATS Aurélie C. Lozano, Grzegorz Swirszcz, Naoki Abe
2010	—	`conf`	Ensemble-Based Method for Task 2: Predicting Traffic Jam. ICDM Workshops Jingrui He, Qing He, Grzegorz Swirszcz, Yiannis Kamarianakis, Rick Lawrence, Wei Shen, Laura Wynter
2010	J	`jnl`	Medical data mining: insights from winning two competitions. Data Min. Knowl. Discov. Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu
2010	J	`jnl`	On cross-validation and stacking: building seemingly predictive models on random data. SIGKDD Explor. Claudia Perlich, Grzegorz Swirszcz
2010	—	`conf`	Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report. ICDM Workshops Wei Shen, Yiannis Kamarianakis, Laura Wynter, Jingrui He, Qing He, Rick Lawrence, Grzegorz Swirszcz
2009	—	`conf`	Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction. NIPS Aurélie C. Lozano, Grzegorz Swirszcz, Naoki Abe
2009	—	`conf`	Winning the KDD Cup Orange Challenge with Ensemble Selection. KDD Cup 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
2008	J	`jnl`	Breast cancer identification: KDD CUP winner's report. SIGKDD Explor. Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset
2007	J	`jnl`	Inventory allocation and transportation scheduling for logistics of network-centric military operations. IBM J. Res. Dev. Francisco Barahona, Pawan Chowdhary, Markus Ettl, Pu Huang, Tracy Kimbrel, Laszlo Ladányi, Young M. Lee, Baruch Schieber, Karthik Sourirajan, Maxim Sviridenko, Grzegorz Swirszcz
2006	J	`jnl`	Maximum weight independent sets and matchings in sparse random graphs. Exact results using the local weak convergence method. Random Struct. Algorithms David Gamarnik, Tomasz Nowicki, Grzegorz Swirszcz
2005	J	`jnl`	An Algorithm for Finding Invariant Algebraic Curves of a Given Degree for Polynomial Planar Vector Fields. Int. J. Bifurc. Chaos Grzegorz Swirszcz
2004	—	`conf`	Maximum Weight Independent Sets and Matchings in Sparse Random Graphs. Exact Results Using the Local Weak Convergence Method. APPROX-RANDOM David Gamarnik, Tomasz Nowicki, Grzegorz Swirszcz