Aktuelles

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03JUNI 2026
Allgemein
Kolloquiumsvortrag: 16. Juni 2026, 11:00 Uhr, Fifth-generation (5G) New Radio (NR), standardized by the 3rd Generation Partnership Project (3GPP), defines mini-slot transmission as a key mechanism to support Ultra-Reliable Low-Latency Communications (URLLC)
Betreuer/in: Baron A mini-slot spans only a subset of OFDM symbols within a slot, typically 2, 4, or 7 symbols, allowing transmissions to begin at any symbol boundary rather than waiting for a full slot. Despite this being a core 5G NR feature, widely used simulation frameworks such as Simu5G, built on top of the […]
Mehr lesen über Kolloquiumsvortrag: 16. Juni 2026, 11:00 Uhr, Fifth-generation (5G) New Radio (NR), standardized by the 3rd Generation Partnership Project (3GPP), defines mini-slot transmission as a key mechanism to support Ultra-Reliable Low-Latency Communications (URLLC)
02JUNI 2026
Kolloquiumsvorträge
Kolloquiumsvortrag: 23. Juni 2026, 10:15 Uhr, Self-Play Evolution: Beyond Data and Gradients
Betreuer/in: Sommer Large language models have made rapid progress on mathematical reasoning, but this depended heavily on human-curated training data—problem sets, worked solutions, and graded examples. This dependence constitutes one of two distinct bottlenecks limiting the scalability of Large Language Model (LLM) reasoning improvement. The first is the data bottleneck: improving the model beyond the […]Betreuer/in: Sommer Large language models have made rapid progress on mathematical reasoning, but this depended heavily on human-curated training data—problem sets, worked solutions, and graded examples. This dependence constitutes one of two distinct bottlenecks limiting the scalability of Large Language Model (LLM) reasoning improvement. The first is the data bottleneck: improving the model beyond the […]
Mehr lesen über Kolloquiumsvortrag: 23. Juni 2026, 10:15 Uhr, Self-Play Evolution: Beyond Data and Gradients
02JUNI 2026
Aktuelles
Kolloquiumsvortrag: Juni, 2026, 10:15 Uhr, Structured Search over Policy Classes: A Hierarchical Framework for Memory-Augmented Agentic Policy Search in Stochastic Environments,
Betreuer/in: Sommer Überschrift This paper extends the Agentic Policy Search (APS) framework proposed by Sommeret al. in „Adaptive Self-Improvement for Smarter Energy Systems using AgenticPolicy Search“[1]. The main objective is to guide the policy search process in a moreinterpretable and structured manner, particularly in highly stochastic environments. While agentic policy search enables flexible and adaptive […]Betreuer/in: Sommer Überschrift This paper extends the Agentic Policy Search (APS) framework proposed by Sommeret al. in „Adaptive Self-Improvement for Smarter Energy Systems using AgenticPolicy Search“[1]. The main objective is to guide the policy search process in a moreinterpretable and structured manner, particularly in highly stochastic environments. While agentic policy search enables flexible and adaptive […]
Mehr lesen über Kolloquiumsvortrag: Juni, 2026, 10:15 Uhr, Structured Search over Policy Classes: A Hierarchical Framework for Memory-Augmented Agentic Policy Search in Stochastic Environments,
02JUNI 2026
Allgemein
Kolloquiumsvortrag: 16. Juni 2026, 10:15 Uhr, Structured Search over Policy Classes: A Hierarchical Framework for Memory-Augmented Agentic Policy Search in Stochastic Environments
Betreuer/in: Sommer This paper extends the Agentic Policy Search (APS) framework proposed by Sommer et al. in „Adaptive Self-Improvement for Smarter Energy Systems using Agentic Policy Search“[1]. The main objective is to guide the policy search process in a moreinterpretable and structured manner, particularly in highly stochastic environments. While agentic policy search enables flexible and […]Betreuer/in: Sommer This paper extends the Agentic Policy Search (APS) framework proposed by Sommer et al. in „Adaptive Self-Improvement for Smarter Energy Systems using Agentic Policy Search“[1]. The main objective is to guide the policy search process in a moreinterpretable and structured manner, particularly in highly stochastic environments. While agentic policy search enables flexible and […]
Mehr lesen über Kolloquiumsvortrag: 16. Juni 2026, 10:15 Uhr, Structured Search over Policy Classes: A Hierarchical Framework for Memory-Augmented Agentic Policy Search in Stochastic Environments
02JUNI 2026
Kolloquiumsvorträge
Kolloquiumsvortrag: 30. Juni 2026, 10:15 Uhr, AI-Enhanced Fuzzing for Vulnerability Discovery in Embedded Power Conversion
Betreuer/in: Al Sardy Power conversion systems are critical embedded components in automotive, industrial, and renewable energy applications. Their firmware manages complex state machines, analog sensor inputs, and peripheral communication protocols under strict safety constraints. Traditional fuzzing approaches struggle with this domain because random mutations generate semantically invalid inputs that firmware immediately rejects, limiting exploration of […]Betreuer/in: Al Sardy Power conversion systems are critical embedded components in automotive, industrial, and renewable energy applications. Their firmware manages complex state machines, analog sensor inputs, and peripheral communication protocols under strict safety constraints. Traditional fuzzing approaches struggle with this domain because random mutations generate semantically invalid inputs that firmware immediately rejects, limiting exploration of […]
Mehr lesen über Kolloquiumsvortrag: 30. Juni 2026, 10:15 Uhr, AI-Enhanced Fuzzing for Vulnerability Discovery in Embedded Power Conversion
22MAI 2026
Allgemein
Kolloquiumsvortrag: 09. Juni, 10:15 Uhr, FAIR Principles for Co-Simulation illustrated by the Example of the „Modeling Smart Grid Applications with Co-Simulation“ paper
Betreuer/in: Seiwerth During an internship, the use case described in the paper “Modeling Smart Grid Applications with Co-Simulation” was reproduced using new simulation tools, in particular DaceDSX. The goal was to reconstruct and evaluate the presented co-simulation setup in terms of its reproducibility and applicability. During the implementation, it became evident that key information was […]Betreuer/in: Seiwerth During an internship, the use case described in the paper “Modeling Smart Grid Applications with Co-Simulation” was reproduced using new simulation tools, in particular DaceDSX. The goal was to reconstruct and evaluate the presented co-simulation setup in terms of its reproducibility and applicability. During the implementation, it became evident that key information was […]
Mehr lesen über Kolloquiumsvortrag: 09. Juni, 10:15 Uhr, FAIR Principles for Co-Simulation illustrated by the Example of the „Modeling Smart Grid Applications with Co-Simulation“ paper