MindStorm Open Research Session: 23rd April!
Session Highlights
- The Mindstorm session started with a discussion about the upcoming hackathon. The hackathon starting date was announced as Friday, 27th April 2018 at Mindgarage and the results announcement date was announced to be Sunday, 29th April 2018 at 12:00 pm EST.
- Marcus Liwicki shared final insights about the data and how the Hackathon will be organized. Also the data was shown by Sidney and Kumar Shridhar.
- Jakub shared some insights about the synthetic data preparation process and how he achieved better results than the normal data in autonomous car driving. He is also a part of Kaiserslautern Racing Team KaRat where they work on Autonomous Driving. It is also totally maintained by students. Feel free to contact them, if you are interested in it.
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A research paper was discussed by Abhash Sinha :
- Predictive Neural Networks : where the authors showed that linearly activated recurrent neural networks can approximate any time-dependent function f(t) given by a number of function values. The approximation can effectively be learned by simply solving a linear equation system; no backpropagation or similar methods are needed.
- Predictive Neural Networks : where the authors showed that linearly activated recurrent neural networks can approximate any time-dependent function f(t) given by a number of function values. The approximation can effectively be learned by simply solving a linear equation system; no backpropagation or similar methods are needed.
- Finally, the session ended with a topic presentation on Introducing Semantic Experiences with Talk to Books and Semantris by Rajveer Shringi.
New MindStorm Open Research Session!
A new MindStorm session will be there on Monday 23rd April, 2018 starting at 18:00 EST at MindGarage. Anyone who likes can present and share their ideas and post open problems & issues. Small food and beverages will be provided with the support of Insiders Technologies.
With the MindStorm Open Research Forum, the MindGarage wants to offer a platform for OpenMinded researchers and practicioners from University & industry to present, discuss, and exchange their ideas.
The upcoming Hackathon will be announced on this session.
MindStorm Open Research Session: 16th April!
Session Highlights
- At the Mindstorm session, we started with a discussion about the upcoming hackathon. The hackathon will start on Friday, 27th April 2018 at Mindgarage and the results will be announced on Sunday, 29th April 2018 at 12:00 pm EST.
- Marcus Liwicki shared some insights about the data and how and when the Hackathon will be organized. Also the data was shown by Sidney and Kumar Shridhar.
- Jakub shared some insights about the synthetic data preparation process and how he achieved better results than the normal data in autonomous car driving. He is also a part of Kaiserslautern Racing Team KaRat where they work on Autonomous Driving. It is also totally maintained by students. Feel free to contact them, if you are interested in it.
-
A research paper was discussed by Abhash Sinha :
- Predictive Neural Networks : where the authors showed that linearly activated recurrent neural networks can approximate any time-dependent function f(t) given by a number of function values. The approximation can effectively be learned by simply solving a linear equation system; no backpropagation or similar methods are needed.
- Predictive Neural Networks : where the authors showed that linearly activated recurrent neural networks can approximate any time-dependent function f(t) given by a number of function values. The approximation can effectively be learned by simply solving a linear equation system; no backpropagation or similar methods are needed.
- Finally, the session ended with a topic presentation on Introducing Semantic Experiences with Talk to Books and Semantris by Rajveer Shringi.
MindStorm Open Research Session: 19th March!
Session Highlights
- At the Mindstorm session, we started with a discussion about the upcoming hackathon. The hackathon will start on Friday, 27th April 2018 at Mindgarage and the results will be announced on Sunday, 29th April 2018 at 12:00 pm EST.
- Marcus Liwicki shared some insights about the data and how and when the Hackathon will be organized.
-
Some papers were discussed by Kumar Shridhar :
-
Predictive Neural Networks : where the authors showed that linearly activated recurrent neural networks can approximate any time-dependent function f(t) given by a number of function values. The approximation can effectively be learned by simply solving a linear equation system; no backpropagation or similar methods are needed.
-
Adaptive Neural Compilation : where the authors showed that it is possible to compile programs written in a low-level language to a differentiable representation.
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- Mendeley Desktop : A very useful application to keep and store all the research papers was discussed by Kumar Shridhar.
- Finally, the session ended with a topic presentation on ‘Multi Modal learning’ by Saurabh Varshneya.
Welcome to the MindStorm Open Research Forum!
With the MindStorm Open Research Forum, the MindGarage wants to offer a platform for OpenMinded researchers and practicioners from University & industry to present, discuss, and exchange their ideas.
Anyone who likes can present and share their ideas and post open problems & issues. Small food and beverages will be provided with the support of Insiders Technologies.
The MindStorm open discussion is held every two weeks on Monday evening at 18:00 EST at MindGarage. The Ovation MindGarage is a place for students and researchers who really want to experience Very Deep Learning. It offers a set of High-End Powerful GPU-Computers for performing any experiments the students would like to conduct without bureaucratic constraints. The MindGarage is lead by Prof. Dr. Marcus Liwicki with the help of Dr. Muhammad Zeshan Afzal and a highly motivated team of Master students. The infrastructure is financially supported by Insiders Technologies GmbH, the rooms and administrative support is provided by the University of Kaiserslautern.
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