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2019


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Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources

Haksar, R., Solowjow, F., Trimpe, S., Schwager, M.

In Proceedings of the 58th IEEE International Conference on Decision and Control (CDC) , 58th IEEE International Conference on Decision and Control (CDC), December 2019 (proceedings) Accepted

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PDF [BibTex]

2019


PDF [BibTex]

2018


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Nanorobots propel through the eye

Zhiguang Wu, J. T. H. J. Q. W. M. S. F. Z. Z. W. M. D. S. S. T. Q. P. F.

Max Planck Society, 2018 (mpi_year_book)

Abstract
Scientists at the Max Planck Institute for Intelligent Systems in Stuttgart developed specially coated nanometer-sized robots that could be moved actively through dense tissue like the vitreous of the eye. So far, the transport of such nano-vehicles has only been demonstrated in model systems or biological fluids, but not in real tissue. Our work constitutes one step further towards nanorobots becoming minimally-invasive tools for precisely delivering medicine to where it is needed.

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link (url) [BibTex]


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Interface-controlled phenomena in nanomaterials

Mittemeijer, Eric J.; Wang, Zumin

2016 (mpi_year_book)

Abstract
Nanosized material systems characteristically exhibit an excessively high internal interface density. A series of previously unknown phenomena in nanomaterials have been disclosed that are fundamentally caused by the presence of interfaces. Thus anomalously large and small lattice parameters in nanocrystalline metals, quantum stress oscillations in growing nanofilms, and extraordinary atomic mobility at ultralow temperatures have been observed and explained. The attained understanding for these new phenomena can lead to new, sophisticated applications of nanomaterials in advanced technologies.

link (url) [BibTex]

link (url) [BibTex]


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Robots learn how to see

Geiger, A.

2016 (mpi_year_book)

Abstract
Autonomous vehicles and intelligent service robots could soon contribute to making our lives more pleasant and secure. However, for autonomous operation such systems first need to learn the perception process itself. This involves measuring distances and motions, detecting objects and interpreting the threedimensional world as a whole. While humans perceive their environment with seemingly little efforts, computers first need to be trained for these tasks. Our research is concerned with developing mathematical models which allow computers to robustly perceive their environment.

link (url) DOI [BibTex]

2012


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Machine Learning and Interpretation in Neuroimaging - Revised Selected and Invited Contributions

Langs, G., Rish, I., Grosse-Wentrup, M., Murphy, B.

pages: 266, Springer, Heidelberg, Germany, International Workshop, MLINI, Held at NIPS, 2012, Lecture Notes in Computer Science, Vol. 7263 (proceedings)

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DOI [BibTex]

2012


DOI [BibTex]


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MICCAI, Workshop on Computational Diffusion MRI, 2012 (electronic publication)

Panagiotaki, E., O’Donnell, L., Schultz, T., Zhang, G.

15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Workshop on Computational Diffusion MRI , 2012 (proceedings)

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PDF [BibTex]

PDF [BibTex]


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Brain-computer interfaces – a novel type of communication

Grosse-Wentrup, M.

2012 (mpi_year_book)

Abstract
Brain-computer interfaces (BCIs) provide a new means of communication that does not rely on volitional muscle control. This may provide the capability to locked-in patients, e.g., those suffering from amyotrophic lateral sclerosis, to maintain interactions with their environment. Besides providing communication capabilities to locked-in patients, BCIs may further prove to have a beneficial impact on stroke rehabilitation. In this article, the state-of-the-art of BCIs is reviewed and current research questions are discussed.

link (url) [BibTex]


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From artificial flagella to medical microbots – the start of a "phantastic voyage"

Fischer, P.

2012 (mpi_year_book)

Abstract
There have been numerous speculations in scientific publications and the popular media about wirelessly controlled microrobots (microbots) navigating the human body. Such micro-agents could revolutionize minimally invasive medical procedures. Using physical vapor deposition we grow billions of micron-sized colloidal screw-propellers on a wafer. These chiral mesoscopic screws can be magnetized and moved through solution under computer control. The screw-propellers resemble artificial flagella and are the only ‘microbots’ to date that can be fully controlled in solution at micron length scales.

link (url) [BibTex]

2006


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Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference

Weiss, Y., Schölkopf, B., Platt, J.

Proceedings of the 19th Annual Conference on Neural Information Processing Systems (NIPS 2005), pages: 1676, MIT Press, Cambridge, MA, USA, 19th Annual Conference on Neural Information Processing Systems (NIPS), May 2006 (proceedings)

Abstract
The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only twenty-five percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains the papers presented at the December 2005 meeting, held in Vancouver.

ei

Web [BibTex]

2006


Web [BibTex]


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Machine Learning Challenges: evaluating predictive uncertainty, visual object classification and recognising textual entailment

Quinonero Candela, J., Dagan, I., Magnini, B., Lauria, F.

Proceedings of the First Pascal Machine Learning Challenges Workshop on Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment (MLCW 2005), pages: 462, Lecture Notes in Computer Science, Springer, Heidelberg, Germany, First Pascal Machine Learning Challenges Workshop (MLCW), 2006 (proceedings)

Abstract
This book constitutes the thoroughly refereed post-proceedings of the First PASCAL (pattern analysis, statistical modelling and computational learning) Machine Learning Challenges Workshop, MLCW 2005, held in Southampton, UK in April 2005. The 25 revised full papers presented were carefully selected during two rounds of reviewing and improvement from about 50 submissions. The papers reflect the concepts of three challenges dealt with in the workshop: finding an assessment base on the uncertainty of predictions using classical statistics, Bayesian inference, and statistical learning theory; the second challenge was to recognize objects from a number of visual object classes in realistic scenes; the third challenge of recognizing textual entailment addresses semantic analysis of language to form a generic framework for applied semantic inference in text understanding.

ei

Web DOI [BibTex]

Web DOI [BibTex]