David Friede - RankMe

12 papers A* 1B 1Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Family of LLMs Liberated from Static Vocabularies. CoRR Adnen Abdessaied, Artur Baranowski, Lukas Balles, Michael Barlow, Fabien C. Y. Benureau, Felix Berkenkamp, Lukas Bluebaum, Bastian Boll, Thomas F. Burns, Björn Deiseroth, Constantin Eichenberg, David Friede, Pablo Iyu Guerrero, Ahmed Hammam, Bastian Harren, Johann Higl, Yasser Jadidi, Carina Kauf, Johannes Messner, Jan Hendrik Metzen, Max Meuer, Vedant Nanda, Pit Neitemeier, Koen Oostermeijer, Letitia Parcalabescu, Markus Pernpointner, Felix Reinfurt, Dylan Rodriquez, Grégory Schott, Philipp Siedler, Martin Simonovsky, Till Speicher, Volker Stampa, Stephan Wäldchen, Samuel Weinbach, Gregor Ziegltrum
2024	—	`conf`	AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents. NAACL (Demonstrations) Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito, Kiril Gashteovski, David Friede, Roberto Bifulco, Carolin Lawrence
2024	J	`jnl`	AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents. CoRR Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito, Kiril Gashteovski, David Friede, Roberto Bifulco, Carolin Lawrence
2023	J	`jnl`	Efficient Learning of Discrete-Continuous Computation Graphs. CoRR David Friede, Mathias Niepert
2023	—	`conf`	Learning Disentangled Discrete Representations. ECML/PKDD (4) David Friede, Christian Reimers, Heiner Stuckenschmidt, Mathias Niepert
2023	J	`jnl`	Learning Disentangled Discrete Representations. CoRR David Friede, Christian Reimers, Heiner Stuckenschmidt, Mathias Niepert
2021	A*	`conf`	Efficient Learning of Discrete-Continuous Computation Graphs. NeurIPS David Friede, Mathias Niepert
2021	B	`conf`	Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. IJCNN Jovita Lukasik, David Friede, Arber Zela, Frank Hutter, Margret Keuper
2020	—	`conf`	Neural Architecture Performance Prediction Using Graph Neural Networks. GCPR Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper
2020	J	`jnl`	Neural Architecture Performance Prediction Using Graph Neural Networks. CoRR Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper
2020	J	`jnl`	Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. CoRR Jovita Lukasik, David Friede, Arber Zela, Heiner Stuckenschmidt, Frank Hutter, Margret Keuper
2019	J	`jnl`	A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction. CoRR David Friede, Jovita Lukasik, Heiner Stuckenschmidt, Margret Keuper