A new approach to model communication for mapping and scheduling DSP-applications. - Claudia Mathis; Bernhard Rinner; Martin Schmid; Reinhard Schneider; Reinhold Weiss (ICASSP, 2000)

Rapid prototyping of multi-DSP systems based on accurate performance estimation. - Bernhard Rinner; Bernd Ruprechter; Martin Schmid (ICASSP, 2001)

Rapid Prototyping of Flexible Embedded Systems on Multi-DSP Architectures. - Bernhard Rinner; Martin Schmid; Reinhold Weiss (DATE, 2003)

A Rapid Prototyping Environment for Multi-DSP Systems based on Accurate Performance Prediction. - Bernhard Rinner; Martin Schmid; Reinhold Weiss (J. Univers. Comput. Sci., 2004)

A realtime streaming architecture for in-car multimedia: Design guidelines and prototypical implementation. - Michael Eichhorn; Martin Schmid; Eckehard G. Steinbach (ICVES, 2008)

Interpreting Model-Based Components for Information Systems. - Michael Thonhauser; Christian Kreiner; Martin Schmid (ECBS, 2009)

Cognitive Parameter Adaption in Regular Control Structures - Using Process Knowledge for Parameter Adaption. - Martin Schmid; Simon Berger; Gunther Reinhart (ICINCO (1), 2013)

Concepts for a Standard based Cross-organisational Information Security Management System in the Context of a Nationwide EHR. - Alexander Mense; Franz Hoheiser-Pförtner; Martin Schmid; Harald Wahl (MedInfo, 2013)

Evaluation of a novel automated non-invasive pulse pressure variation algorithm. - Martin Schmid; Helga Prettenthaler; Christian Weger; Karl-Heinz Smolle (Comput. Biol. Medicine, 2013)

Bounding the Support Size in Extensive Form Games with Imperfect Information. - Martin Schmid; Matej Moravcik; Milan Hladík (AAAI, 2014)

Automatic Public State Space Abstraction in Imperfect Information Games. - Martin Schmid; Matej Moravcik; Milan Hladík; Stephen J. Gaukrodger (AAAI Workshop: Computer Poker and Imperfect Information, 2015)

Improved Deep Learning Baselines for Ubuntu Corpus Dialogs. - Rudolf Kadlec; Martin Schmid; Jan Kleindienst (CoRR, 2015)

Eutrophication of turbid tropical reservoirs: Scenarios of evolution of the reservoir of Cointzio, Mexico. - Phuong Thuy Kim Doan; Julien Némery; Martin Schmid; Nicolas Gratiot (Ecol. Informatics, 2015)

Refining Subgames in Large Imperfect Information Games. - Matej Moravcik; Martin Schmid; Karel Ha; Milan Hladík; Stephen J. Gaukrodger (AAAI, 2016)

Text Understanding with the Attention Sum Reader Network. - Rudolf Kadlec; Martin Schmid; Ondrej Bajgar; Jan Kleindienst (ACL (1), 2016)

AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. - Neil Burch; Martin Schmid; Matej Moravcik; Michael Bowling (AAAI Workshops, 2017)

DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker. - Matej Moravcík; Martin Schmid; Neil Burch; Viliam Lisý; Dustin Morrill; Nolan Bard; Trevor Davis 001; Kevin Waugh; Michael Johanson; Michael H. Bowling (CoRR, 2017)

AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. - Neil Burch; Martin Schmid; Matej Moravcik; Dustin Morrill; Michael Bowling (AAAI, 2018)

Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines. - Martin Schmid; Neil Burch; Marc Lanctot; Matej Moravcik; Rudolf Kadlec; Michael Bowling (AAAI, 2019)

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. - Guy Barash; Mauricio Castillo-Effen; Niyati Chhaya; Peter Clark; Huáscar Espinoza; Eitan Farchi; Christopher W. Geib; Odd Erik Gundersen; Seán Ó hÉigeartaigh; José Hernández-Orallo; Chiori Hori; Xiaowei Huang 001; et al. (AI Mag., 2019)

Revisiting CFR+ and Alternating Updates. - Neil Burch; Matej Moravcik; Martin Schmid (J. Artif. Intell. Res., 2019)

Low-Variance and Zero-Variance Baselines for Extensive-Form Games. - Trevor Davis 001; Martin Schmid; Michael Bowling (ICML, 2020)

Approximate exploitability: Learning a best response in large games. - Finbarr Timbers; Edward Lockhart; Martin Schmid; Marc Lanctot; Michael Bowling (CoRR, 2020)

Sound Search in Imperfect Information Games. - Michal Sustr; Martin Schmid; Matej Moravcík; Neil Burch; Marc Lanctot; Michael Bowling (CoRR, 2020)

The Advantage Regret-Matching Actor-Critic. - Audrunas Gruslys; Marc Lanctot; Rémi Munos; Finbarr Timbers; Martin Schmid; Julien Pérolat; Dustin Morrill; Vinícius Flores Zambaldi; Jean-Baptiste Lespiau; John Schultz; Mohammad Gheshlaghi Azar; Michael Bowling; et al. (CoRR, 2020)

Solving Common-Payoff Games with Approximate Policy Iteration. - Samuel Sokota; Edward Lockhart; Finbarr Timbers; Elnaz Davoodi; Ryan D'Orazio; Neil Burch; Martin Schmid; Michael Bowling; Marc Lanctot (AAAI, 2021)

Sound Algorithms in Imperfect Information Games. - Michal Sustr; Martin Schmid; Matej Moravcík; Neil Burch; Marc Lanctot; Michael Bowling (AAMAS, 2021)

Search in Imperfect Information Games. - Martin Schmid (CoRR, 2021)

Player of Games. - Martin Schmid; Matej Moravcik; Neil Burch; Rudolf Kadlec; Joshua Davidson; Kevin Waugh; Nolan Bard; Finbarr Timbers; Marc Lanctot; G. Zacharias Holland; Elnaz Davoodi; Alden Christianson; et al. (CoRR, 2021)

Approximate Exploitability: Learning a Best Response. - Finbarr Timbers; Nolan Bard; Edward Lockhart; Marc Lanctot; Martin Schmid; Neil Burch; Julian Schrittwieser; Thomas Hubert; Michael Bowling (IJCAI, 2022)

Rethinking formal models of partially observable multiagent decision making. - Vojtech Kovarík; Martin Schmid; Neil Burch; Michael Bowling; Viliam Lisý (Artif. Intell., 2022)

Dynamic modelling provides new insights into development and maintenance of Lake Kivu's density stratification. - Fabian Bärenbold; Rolf Kipfer; Martin Schmid (Environ. Model. Softw., 2022)

Analyzing ModuloNET Against Transition Effects. - Martin Schmid; Elif Bilge Kavun (COINS, 2023)

Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract). - Vojtech Kovarík; Martin Schmid; Neil Burch; Michael Bowling; Viliam Lisý (IJCAI, 2023)

Learning not to Regret. - David Sychrovsky; Michal Sustr; Elnaz Davoodi; Marc Lanctot; Martin Schmid (CoRR, 2023)

Design and Evaluation of a Spatially Distributed and Gear-Integrated Transverse Flux Machine. - Jonathan Terfurth; Marcel Waldhof; Martin Schmid; Julius Weber; Marina Keller; Nejila Parspour (IEEE Trans. Ind. Electron., 2023)

Learning Not to Regret. - David Sychrovsky; Michal Sustr; Elnaz Davoodi; Michael Bowling; Marc Lanctot; Martin Schmid (AAAI, 2024)

Robust and Energy-efficient Hardware Architectures for DIZY Stream Cipher. - Martin Schmid; Tolga Arul; Elif Bilge Kavun; Francesco Regazzoni 001; Orhun Kara (APCCAS, 2024)

Secure Data-Binding in FPGA-based Hardware Architectures utilizing PUFs. - Florian Frank 004; Martin Schmid; Felix Klement; Purushothaman Palani; Andreas Weber; Elif Bilge Kavun; Wenjie Xiong 001; Tolga Arul; Stefan Katzenbeisser 001 (AsiaCCS, 2024)

Learning to Beat ByteRL: Exploitability of Collectible Card Game Agents. - Radovan Haluska; Martin Schmid (CoRR, 2024)

Differential Power Analysis on Low-Energy Keystream Generating Hardware: Full-State Recovery in Dizy Implementation. - Martin Schmid; Elif Bilge Kavun (ASAP, 2025)

Meta-Learning in Self-Play Regret Minimization. - David Sychrovský; Martin Schmid; Michal Sustr; Michael Bowling (CoRR, 2025)

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning. - Matej Straka; Martin Schmid (CoRR, 2025)

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2. - Alen Adamyan; Tomás Cízek; Matej Straka; Klára Janousková; Martin Schmid (CoRR, 2025)