- informatik-vortraege - lists.rwth-aachen.de

UnRAVeL Survey Lecture - Today!
by Kassing, Jan-Christoph 18 Jul '24

18 Jul '24

Dear all, this is a reminder for Britta Peis's talk with the title "Future Research in Submodular Function Optimization" taking place today (18.07) at 12:30 in the B-IT room 5053.2. Please find the details below --- Abstract --- Submodular function maximisation is a well-studied and fascinating topic which appears in a wide range of research areas, like, e.g., in combinatorial optimization, algorithmic game theory, and machine learning. In the talk, I will survey some results and algorithms for submodular function maximisation with and without various combinatorial constraints, and discuss some open problems. ---------------- Part of the programme of the research training group UnRAVeL is a series of lectures on the topics of UnRAVeL’s research thrusts algorithms and complexity, verification, logic and languages, and their application scenarios. Each lecture is given by one of the researchers involved in UnRAVeL. This years topic is "UnRAVeL - New Ideas!". In these lectures, UnRAVeL professors will discuss current research as well as highlight open problems and offer a perspective on potential future directions. All interested doctoral researchers and master students are invited to attend the UnRAVeL lecture series 2024 and engage in discussions with researchers and doctoral students. We are looking forward to seeing you at the lecture. Note that this is the last lecture for this year. Many thanks for the great participation in the event! Kind regards, Jan-Christoph for the organisation committee

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UnRAVeL Survey Lecture - Today!
by Kassing, Jan-Christoph 11 Jul '24

11 Jul '24

Dear all, this is a reminder for Christopher Morris's talk with the title "Understanding the Generalization Abilities of Graph Neural Networks: Current Results and Future Directions" taking place today (11.07) at 12:30 in the B-IT room 5053.2. Please find the details below --- Abstract --- Graph neural networks (GNNs) are the dominant approach in machine learning on graphs. Surprisingly, their generalization properties, i.e., their ability to make meaningful predictions outside the training data, are poorly understood. Here, we overview some recent results on GNNs’ generalization abilities and outline some future directions. ---------------- Part of the programme of the research training group UnRAVeL is a series of lectures on the topics of UnRAVeL’s research thrusts algorithms and complexity, verification, logic and languages, and their application scenarios. Each lecture is given by one of the researchers involved in UnRAVeL. This years topic is "UnRAVeL - New Ideas!". In these lectures, UnRAVeL professors will discuss current research as well as highlight open problems and offer a perspective on potential future directions. All interested doctoral researchers and master students are invited to attend the UnRAVeL lecture series 2024 and engage in discussions with researchers and doctoral students. We are looking forward to seeing you at the lectures. Kind regards, Jan-Christoph for the organisation committee

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Einladung: Informatik-Oberseminar Herr Felix Schwinger
by Maaßen, Leany 05 Jul '24

05 Jul '24

+********************************************************************** * * * Einladung * * * * Informatik-Oberseminar * * * +********************************************************************** Zeit: Mittwoch, 17.07.2024, 15:00-16:00 Uhr Ort: Raum 5053.2 (großer B-IT-Hörsaal)/Informatikzentrum, Ahornstraße 55 Referent: Herr Felix Schwinger, M. Sc. Lehrstuhl Informatik 5 Thema: Ride-Sharing and Micromobility in Intermodal Transportation: Data-Driven Integration, Assessment, and Facilitation of Mobility as a Service Abstract: Information and communication technology has led to a wide range of smartphone-based mobility services, including car-, bike-, scooter-, and ride-sharing. Combining these services into intermodal journeys promises more flexibility and customizability to travelers. However, this combination is challenging and requires improvements at several levels: The lack of a technical ability for mobility providers to share information hinders their cooperation, the impact of intermodal transportation networks is poorly understood and inhibits an intelligent distribution of available transportation resources, and the increasingly heterogeneous nature of intermodal journeys easily overwhelms travelers. Meanwhile, the status quo of car-centric transportation systems is inadequate, as climate change and urbanization have accelerated the need for rapid decarbonization and increased efficiency in the transportation sector. Thus, Mobility as a Service (MaaS) has been proposed as a solution that addresses these challenges by seamlessly integrating mobility services across different providers into a single platform. Hence, MaaS-driven intermodal journeys promise to leverage the benefits of each mobility mode to fill the gap between individual car and public transportation journeys. To study MaaS adoption, we employed the design science research paradigm, revealing three main problem areas: i) The integration among mobility providers; ii) the assessment of the impact of MaaS on the transportation network; and iii) the facilitation of user-interaction concepts for travel information systems. For each problem area, we produce, demonstrate, and evaluate artifacts of real-world use cases, illustrating the advantages for different stakeholders to support the creation of a seamless intermodal transportation network. For the lack of integration, we show that MaaS applications have yet to accommodate all mobility modes. Since a seamless integration requires highly accurate data, we propose approaches to improve the providers' data forecasts. As for the second problem area, we observe that a lack of historical data impedes the analysis of MaaS. We tackled the issue by developing an inference approach for the necessary data from openly available sources, thereby supporting the investigation of intermodal transportation networks. Finally, as MaaS changes how people conduct their daily mobility, we design two natural language interfaces that complement traditional travel information systems, thereby reducing the burden of intermodal journey planning. Our research supports the management of the impact of the digital transformation as follows: i) The integration of autonomous ride-sharing into MaaS requires a strict adherence to the holistic mobility service chain, thus demonstrating its extensive applicability; ii) the novel forecasting algorithms serve as an improved information base for intermodal journey planning, thereby increasing the resilience of transfers; iii) our micromobility assessment compares the travel characteristics of micromobility with those of public transportation in a data-driven manner, which allowed us to find evidence for their complementary use; and iv) the proactive and context-overarching natural language interfaces support users in exploring mobility offers and complement traditional travel information systems. Overall, our research contributes significantly to the vision of enabling a seamless intermodal transportation network. Es laden ein: die Dozentinnen und Dozenten der Informatik _______________________________ Leany Maaßen RWTH Aachen University Lehrstuhl Informatik 5, LuFG Informatik 5 Prof. Dr. Stefan Decker, Prof. Dr. Matthias Jarke, Prof. Gerhard Lakemeyer Ph.D., JunProf. Dr. Sandra Geisler Ahornstrasse 55 D-52074 Aachen Tel: 0241-80-21509 Fax: 0241-80-22321 E-Mail: maassen(a)dbis.rwth-aachen.de

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UnRAVeL Survey Lecture - Today!
by Kassing, Jan-Christoph 04 Jul '24

04 Jul '24

Dear all, this is a reminder for Gerhard Lakemeyer's talk with the title "Challenges in Cognitive Robotics" taking place now! (04.07) at 12:30 in the B-IT room 5053.2. Please find the details below --- Abstract --- It is generally accepted that cognitive robots need to be able to represent and reason about the relevant aspects of the environment they operate in. Complications arise because sensors are noisy and the effects of actions are often uncertain. In this lecture I will briefly review a few milestones in the development of cognitive robots and then address some of the many research challenges that still need to be addressed in order to arrive at truly cognitive robots. ---------------- Part of the programme of the research training group UnRAVeL is a series of lectures on the topics of UnRAVeL’s research thrusts algorithms and complexity, verification, logic and languages, and their application scenarios. Each lecture is given by one of the researchers involved in UnRAVeL. This years topic is "UnRAVeL - New Ideas!". In these lectures, UnRAVeL professors will discuss current research as well as highlight open problems and offer a perspective on potential future directions. All interested doctoral researchers and master students are invited to attend the UnRAVeL lecture series 2024 and engage in discussions with researchers and doctoral students. We are looking forward to seeing you at the lectures. Kind regards, Jan-Christoph for the organisation committee

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UnRAVeL Survey Lecture - Today!
by Kassing, Jan-Christoph 27 Jun '24

27 Jun '24

Dear all, this is a reminder for Michael Schaub's talk with the title "How can algebraic topology help with data analysis?" taking place today (27.06) at 12:30 in the B-IT room 5053.2. Please find the details below --- Abstract --- Topology is concerned with studying properties of spaces that are preserved under continuous transformation. In particular, using notions from topology we can classify spaces according to certain global properties that are invariant under such transformations. While commonly considered a branch of pure mathematics, the use of topological ideas for data analysis has recently seen a surge of interest under the name "Topological Data Analysis". Topological Data Analysis (TDA) is typically concerned with high-dimensional point cloud data. TDA aims to extract the "global shape" of this point cloud using computational tools, such as persistent homology, which aim to extract a global topological description of the point cloud. Stated differently, the whole dataset is treated as a single object, which we aim to characterize. This view contrasts somewhat with the standard perspective of unsupervised learning in which the objects of interest are the points (feature vectors of different objects) themselves, and we are interested in characterizing these objects relative to each other. In this talk, we will provide a brief introduction to topological data analysis and its relation to unsupervised machine learning. We will showcase a few methods that aim to bridge the gap between these two seemingly different viewpoints, and discuss open directions and challenges in this context. ---------------- Part of the programme of the research training group UnRAVeL is a series of lectures on the topics of UnRAVeL’s research thrusts algorithms and complexity, verification, logic and languages, and their application scenarios. Each lecture is given by one of the researchers involved in UnRAVeL. This years topic is "UnRAVeL - New Ideas!". In these lectures, UnRAVeL professors will discuss current research as well as highlight open problems and offer a perspective on potential future directions. All interested doctoral researchers and master students are invited to attend the UnRAVeL lecture series 2024 and engage in discussions with researchers and doctoral students. We are looking forward to seeing you at the lectures. Kind regards, Jan-Christoph for the organisation committee

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Einladung Informatik-Oberseminar Dr. Simon Völker, 26. Juni 2024, 13:00 Uhr
by Völker, Simon 19 Jun '24

19 Jun '24

+********************************************************************** * * * Einladung * * * * Informatik-Oberseminar * * * +********************************************************************** Zeit: Mittwoch, 26. Juni 2024, 13:00 Uhr Ort: Raum 9222, E3, Informatikzentrum Referent: Dr. Simon Völker Lehrstuhl Informatik 10, Studiencenter Informatik Thema: Beyond Touch: Enriching the Interaction with Mobile Devices Abstract: Mobile devices like smartphones and tablets are now the most common digital tools in daily life, aiding in both work and personal tasks. Much of their success stems from their intuitive touchscreen interaction, which allows users to engage with any digital content by simply touching the screen. However, despite their success, touch input has several limitations and drawbacks. It reduces the extensive input capabilities of our hands to mostly a single touchpoint on a 2D surface, lacking additional information such as the force or orientation of the touch, or extra keys like the multiple modifier buttons found on a mouse or keyboard. These limitations slow down interaction and present numerous challenges, negatively affecting usability. Additional issues such as the fat-finger problem and limited reachability further add to the inconveniences. While the input capabilities are sufficient for simple applications, more complex tasks requiring intensive or intricate input, such as large-scale text editing, are still cumbersome and often avoided. In this thesis, I aim to present several approaches that explore, design, prototype, and analyze new techniques to enrich and expand the limited interaction methods on mobile devices. The goal is to empower users to utilize their movement and sensing capabilities in a more meaningful way, beyond simply creating basic touch input on a sheet of glass. I achieve this by focusing on three approaches: 1) Improving touch input on the device itself by incorporating additional properties of the user's hand, such as the force of a touchpoint. I utilize this additional input dimension to create new interaction techniques and to address existing issues, such as the reachability on a device or the lack of shortcuts on touchscreens. 2) Combining touch with other input methods, such as the user's head or eye movements, to overcome the inherent limitations of touch input. 3) Utilizing the sensing capabilities of mobile devices to detect their surroundings to enable other objects around the device to serve as additional input devices that enable new use cases for mobile devices. My habilitation thesis thus contributes a series of new interaction techniques, implemented and evaluated in lab experiments and user studies, that use touch force sensing, head and gaze input, and objects in the surrounding environment, to make mobile touch input more expressive and effective. Es laden ein: die Dozentinnen und Dozenten der Informatik

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Einladung: Informatik-Oberseminar Andrea Bönsch
by Office VR 14 Jun '24

14 Jun '24

+********************************************************************** * * * Einladung * * * * Informatik-Oberseminar * * * +********************************************************************** Zeit: Mittwoch, 26. Juni 2024, 10.00 Uhr Ort: Seminarraum 003, IT Center, Kopernikusstraße 6 Referentin: Andrea Bönsch, M.Sc. Lehr- und Forschungsgebiet Virtuelle Realität und Immersive Visualisierung (LuFG i12) und IT Center Thema: Social Wayfinding Strategies to Explore Immersive Virtual Environments Abstract: To create Immersive Virtual Environments (IVEs) representing believable and appealing urban spaces, high-quality architectural reconstructions alone are insufficient. Instead, these reconstructions need to be complemented by embedding Virtual Agents (VAs). These computer-controlled, anthropomorphic characters breathe life into the scene, either by actively functioning as direct interaction partners or by passively enlivening the IVEs, e.g., as virtual pedestrians. Regardless of the VAs' roles, user engagement in unfamiliar IVEs primarily revolves around scene exploration to facilitate successful navigation and interaction within the scene. The involved wayfinding procedure --- encompassing users' understanding of their surroundings, route planning, and informed decision-making --- is profoundly grounded in a social context where the presence and behavior of others, in our case, the embedded VAs, influence the user. The core contribution of this thesis is, thus, to enhance our understanding of wayfinding as a social activity in Virtual Reality (VR) applications. We achieved this through the optimization of user support during scene exploration by strategically integrating VAs as inherent components within IVEs. Thereby, we undertake a three-fold approach: Firstly, by adopting a theoretical approach we develop a user-centered wayfinding taxonomy categorizing diverse wayfinding strategies in VR. Within this taxonomy, we introduce VAs as novel wayfinding support, distinguishing between strong social wayfinding (direct guidance by VAs) and weak social wayfinding (subtle VA influence on navigation decisions). This conceptual framework facilitates a deeper understanding of how users interact within IVEs. Secondly, we enhance the spatial behavior of VAs for improved user experience during collaborative navigation. Through ecologically valid VR-based user studies, we uncover nuanced user preferences regarding VA proximity management, behavior during non-interaction periods, and responses to inferred user intents. These findings inform the enhancement of VAs' interactive capabilities displaying responsive and socially compliant behavior for an improved user experience. Lastly, we enable the efficient utilization of VAs as social wayfinding support. Through VR-based user studies, we refine the behavioral design of virtual guides by effectively balancing guidance and the user's autonomous exploration, fostering optimal user-agent interaction during strong social wayfinding. Additionally, we propose a VA design as weak social wayfinding that subtly influences user navigation within IVEs by shaping pedestrian flows, substantiated through empirical validation. Comparative analysis of both approaches in terms of user experience and scene knowledge gain elevates our comprehension of effective VA utilization in immersive environments. In summation, this research contributes to the advancement of VAs as advanced human interfaces, fostering enhanced user acceptance, usability, and perceived social presence within VR environments. Es laden ein: die Dozentinnen und Dozenten der Informatik -- Aleksandra Lukic RWTH Aachen University - Visual Computing Institute - Virtual Reality & Immersive Visualization - Computer Science Department LuFG i12 - IT Center - Computational Science & Engineering Kopernikusstraße 6, 52074 Aachen, Germany Phone +49 241 80-29233 Email office(a)vr.rwth-aachen.de URL www.vr.rwth-aachen.de

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UnRAVeL Survey Lecture - Today!
by Kassing, Jan-Christoph 13 Jun '24

13 Jun '24

Dear all, this is a reminder for Christina Büsing's talk with the title "Robust Optimization in Health Care" taking place today (13.06) at 12:30 in the B-IT room 5053.2. Please find the details below --- Abstract --- Health is one of the most important factors for the prosperity and well-being of a society. In recent years, this system is challenged by demographic changes: the elderly population (age 65 and older) will increase, which will result in a higher demand for health care services. Simultaneously the decrease in the fertility rate results in a shrinking number of trained medical staff. In order to keep the high standard of the German health care system, it is crucial to improve on the efficient and effective use of our resources. Planning and organization in these fields are complicated by the uncertain nature of health care processes, e.g., the fluctuating demand, arrival time of patients, emergency patients, durations of a single treatment, length of stay or resource failures. These uncertainties are rarely incorporated in the optimization process, if optimization and mathematical methods are used at all. In this talk, I will present, how we approach such kind of optimization problems and show examples how robust optimization can be used to integrated these uncertainties into the optimization process. ---------------- Part of the programme of the research training group UnRAVeL is a series of lectures on the topics of UnRAVeL’s research thrusts algorithms and complexity, verification, logic and languages, and their application scenarios. Each lecture is given by one of the researchers involved in UnRAVeL. This years topic is "UnRAVeL - New Ideas!". In these lectures, UnRAVeL professors will discuss current research as well as highlight open problems and offer a perspective on potential future directions. All interested doctoral researchers and master students are invited to attend the UnRAVeL lecture series 2024 and engage in discussions with researchers and doctoral students. We are looking forward to seeing you at the lectures. Kind regards, Jan-Christoph for the organisation committee

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Einladung: Informatik-Kolloquium Herr Prof. Dr. Michael Thielscher
by Maaßen, Leany 06 Jun '24

06 Jun '24

+********************************************************************** * * * Einladung * * * * Informatik-Kolloquium * * * +********************************************************************** Prof. Dr. Michael Thielscher, University of New South Wales, Sydney Time: Tuesday, June 18, 2024 at 16:00h Place: E3 Rm 9222 Title: Epistemic Reasoning and Planning for AI Systems with General Intelligence Abstract: AI systems exhibit general intelligence when they are capable of understanding new problems and tasks and can solve them without human intervention. In this talk I, will explain the role of epistemic reasoning and planning to increase the range of problems that an AI system can solve when interacting with other AI agents or humans. I will present a simple high-level action description language for multi-agent epistemic planning along with a more expressive language for describing so-called epistemic games to a general problem-solving system. I will discuss how general problem-solving systems can take advantage of Epistemic Strategy Logic (SLK) as a rich formalism for reasoning about multi-agent systems and the strategic behavior of agents with partial observability, and I will touch upon a new project where we apply epistemic reasoning to create digitally embodied AI companions to address the challenge of reducing loneliness. Short Bio: Michael Thielscher is a professor of computer science at UNSW Sydney, where he is also associated with the iCinema Research Centre. He received his Ph.D. and Higher Doctorate (Habilitation) in Computer Science from Darmstadt University in Germany. He has held the positions of associate professor at Dresden University and visiting professor at Toulouse 1 Capitole University. His Habilitation thesis was honoured with the Award for Research Excellence by the alumni of Darmstadt University; he co-authored the system Fluxplayer, the 2006 World Champion at the AAAI General Game Playing Competition; and in 2009 he won a Future Fellowship Award from the Australian Research Council. His research focuses mainly on general problem-solving AI, the foundations of knowledge representation, and the application of knowledge representation and reasoning both to robotics as well as in arts and culture. Es laden ein: die Dozentinnen und Dozenten der Informatik _______________________________ Leany Maaßen RWTH Aachen University Lehrstuhl Informatik 5, LuFG Informatik 5 Prof. Dr. Stefan Decker, Prof. Dr. Matthias Jarke, Prof. Gerhard Lakemeyer Ph.D., JunProf. Dr. Sandra Geisler Ahornstrasse 55 D-52074 Aachen Tel: 0241-80-21509 Fax: 0241-80-22321 E-Mail: maassen(a)dbis.rwth-aachen.de

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Einladung Informatik-Oberseminar Christian Herold, 12. Juni 2024,
by Stephanie Jansen 03 Jun '24

03 Jun '24

********************************************************************** * * * Einladung * * * * Informatik-Oberseminar * * * *********************************************************************** Zeit: Mittwoch, 12. Juni 2024, 09:30 Uhr Ort: Raum 9222, E3, Informatikzentrum Zoom:https://rwth.zoom-x.de/j/68743953886?pwd=HMUlqnO8qakacCpfazBAzKy8b222EK.1 Meeting-ID: 687 4395 3886 Kenncode: 183143 Referent: Christian Herold, M.Sc.; Lehrstuhl Informatik 6 Thema: Context-Aware Neural Machine Translation Abstract: Despite the known limitations, most automatic machine translation (MT) systems today still operate on the sentence-level, ignoring cross-sentence context information. This is, because considering cross-sentence context leads to (i) exponentially increasing complexity, (ii) limits us in terms of the available training data, and (iii) sometimes even reduces translation quality on general MT benchmarks. In this talk, we discuss our efforts to combat these issues and to improve context-aware MT systems. First, we discuss the different decoding strategies for document-level MT and explain how constraining the model attention can result in a more efficient translation system. Second, to tackle the problem of scarce document-level training data, we elaborate on our efforts to utilize monolingual document-level data for MT. Finally, we discuss our efforts on data filtering for MT, which can benefit both sentence- and document-level systems. Es laden ein: die Dozentinnen und Dozenten der Informatik -- Stephanie Jansen Faculty of Mathematics, Computer Science and Natural Sciences Chair of Computer Science 6 ML - Machine Learning and Reasoning RWTH Aachen University Theaterstraße 35-39 D-52062 Aachen Tel: +49 241 80-21601 sek(a)ml.rwth-aachen.de www.hltpr.rwth-aachen.de

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