Salimeh Yasaei Sekeh

• Monitoring Continual Learning Performance via Knowledge of Information Flow
  Amazon-Seattle
  2023, June 16
   

• Foundations of Deep Neural Network Efficiency and Robustness
  UMS Research and Innovation Series
  2023, June 5
   

• Can We Trust AI? Robust Lifelong Learning Could be a Solution!
  Maine Science Festival
  2023, March 24
   

• Continual Learning with Subnetwork Information Flow
  Amazon
  2023, March 10
   

• Analysis of Deep Neural Subnetwork for Continual Learning and Adversarial Robustness
  Information Theory and Application (ITA),  organized by the University of California-San Diego
  2023, February 14
   

• Leveraging Information Flow in Deep Neural Network for Knowledge-Driven Continual Learning
  Cisco
  2022, September 20
   

• Alternative approach in Deep Neural Networks via Connectivity
  Federal University of Pernambuco (UFPE), Recife, PE, Brazil
  2021, October 6
   

• Alternative approach in Deep Neural Networks via Connectivity

IHeriot-Watt University, UK

2020, December 4

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• Efficient Memory-usage Techniques in Deep Neural Networks via a Graph-based Approach

University of California-San Diego, Contextual Robotic Institute
2020, February 5

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• Advanced Graph-Based Techniques with Applications in Dimensionality Reduction

University of Maine, Chemical and Biomedical Engineering Department Seminar

2019, November 8.

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• Online Adaptation for Big Streaming Data: From Machine Learning Techniques to Applications

University of Maine, IEEE COM/CS Maine Chapter

2019, October 25

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• Graph-based Learning: Method and Application

University of Maine, Graduate seminar
2019, April 4

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• Graph-based Learning: Method and Application

University of Illinois Urbana-Champaign, Graduate seminar (2019)
2019, March 25.

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• Graph-based Learning: Method and Application

University of Michigan, Ann Arbor, CSP seminar (2019)
2019, January 24.

 

• Some Results Concerning Weighted Entropies

University of São Paolo (USP-IME)-Brazil

2015

 

• On the KyFan inequality

University of São Paolo in São Carlos (USP-ICMC) - Brazil

2015

 

• The weighted Gibbs inequality and its consequences

University of São Paolo in São Carlos (USP-ICMC)-Brazil

2014

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• Comparison Results for GARCH Processes.

University of São Paolo in São Carlos (USP) joint with Federal University of São Carlos (UFSCar) - Brazil

2014

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• A Tour Based on Dynamic Information Measures in Reliability

Polytechnic University of Turin - Italy

2012
 

• Comparisons of Concordance in Additive Models

University of Milano-Bicocca - Italy

2012