Tomasz Nowicki

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 12

Top Topics

Matrix Inversion

Monte Carlo Methods

Sparse Linear Systems

Neural Network Training

Top Venues

Appl. Math. Lett.

Frontiers Artif. Intell.

Publications

Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki
Regenerative Ulam-von Neumann Algorithm: An Innovative Markov chain Monte Carlo Method for Matrix Inversion. CoRR (2024)
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
On Convergence of the Alternating Directions SGHMC Algorithm. CoRR (2024)
Vassilis Kalantzis, Mark S. Squillante, Shashanka Ubaru, Tayfun Gokmen, Chai Wah Wu, Anshul Gupta, Haim Avron, Tomasz Nowicki, Malte J. Rasch, Murat Onen, Vanessa López-Marrero, Effendi Leobandung, Yasuteru Kohda, Wilfried Haensch, Lior Horesh
Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation. CoRR (2024)
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki, Edith Zhang
On Representations of Mean-Field Variational Inference. CoRR (2022)
O. Murat Onen, Tayfun Gokmen, Teodor K. Todorov, Tomasz Nowicki, Jesús A. del Alamo, John Rozen, Wilfried Haensch, Seyoung Kim
Neural Network Training with Asymmetric Crosspoint Elements. CoRR (2022)
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
On L2 convergence of the Hamiltonian Monte Carlo. Appl. Math. Lett. 127 (2022)
O. Murat Onen, Tayfun Gokmen, Teodor K. Todorov, Tomasz Nowicki, Jesús A. del Alamo, John Rozen, Wilfried Haensch, Seyoung Kim
Neural Network Training With Asymmetric Crosspoint Elements. Frontiers Artif. Intell. 5 (2022)
Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu
Solving sparse linear systems with approximate inverse preconditioners on analog devices. CoRR (2021)
Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu, Tayfun Gokmen, Haim Avron
Solving sparse linear systems with approximate inverse preconditioners on analog devices. HPEC (2021)
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
. CoRR (2021)
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
HMC, an Algorithms in Data Mining, the Functional Analysis approach. CoRR (2021)
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions. CoRR (2021)
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)
Don Coppersmith, Tomasz Nowicki, Giuseppe Paleologo, Charles Philippe Tresser, Chai Wah Wu
The optimality of the online greedy algorithm in carpool and chairman assignment problems. ACM Trans. Algorithms 7 (3) (2011)
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)
Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu
Fundamentals of Dynamic Decentralized Optimization in Autonomic Computing Systems. Self-star Properties in Complex Information Systems (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)
Marco Martens, Tomasz Nowicki
Ergodic theory of one-dimensional dynamics. IBM J. Res. Dev. 47 (1) (2003)