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researcher

Tomasz P. Michalak

22 papers hereh-index 343.8k citations165 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author18
  • last author3

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.SI8
  • cs.GT6
  • cs.AI4
  • cs.CR2
  • cs.LG1
  • cs.MA1
same name
  • Tomasz P. Michalak — 4 papers, h 2
  • Tomasz P. Michalak — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122023
most citedHiding Individuals and Communities in a Social Network

209 citations · 409 across the 19 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2021★ 5 cited

Multiagent Model-based Credit Assignment for Continuous Control

Dongge Han, Chris Xiaoxuan Lu, Tomasz Michalak +1

Deep reinforcement learning (RL) has recently shown great promise in robotic continuous control tasks. Nevertheless, prior research in this vein center around the centralized learn…

cs.AI2019

Adversarial Robustness of Similarity-Based Link Prediction

Kai Zhou, Tomasz P. Michalak, Yevgeniy Vorobeychik

Link prediction is one of the fundamental problems in social network analysis. A common set of techniques for link prediction rely on similarity metrics which use the topology of t…

cs.AI2017★ 7 cited

Game-theoretic Network Centrality: A Review

Mateusz K. Tarkowski, Tomasz P. Michalak, Talal Rahwan +1

Game-theoretic centrality is a flexible and sophisticated approach to identify the most important nodes in a network. It builds upon the methods from cooperative game theory and ne…

cs.AI2014

How good is the Shapley value-based approach to the influence maximization problem?

Kamil Adamczewski, Szymon Matejczyk, Tomasz P. Michalak

The Shapley value has been recently advocated as a method to choose the seed nodes for the process of information diffusion. Intuitively, since the Shapley value evaluates the aver…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.