5 citations · 10 across the 21 of their papers we have counts for
4 papers · 1 filter
Learning Latent Graph Geometry via Fixed-Point Schrödinger-Type Activation: A Theoretical Study
Dmitry Pasechnyuk-Vilensky, Martin Takáč
We study neural architectures in which each hidden layer is defined by the stationary state of a dissipative Schrödinger-type dynamics on a learned latent graph. On stable branches…
LLM-BabyBench: Can Language Models Plan in Worlds They Can Simulate?
Omar Choukrani, Idriss Malek, Daniil Orel +5
Interactive benchmarks for LLMs usually report a single metric, even though succeeding in them requires models to show several different skills. While those benchmarks are useful f…
Bant: Byzantine Antidote via Trial Function and Trust Scores
Gleb Molodtsov, Daniil Medyakov, Sergey Skorik +6
Recent advancements in machine learning have improved performance while also increasing computational demands. While federated and distributed setups address these issues, their st…
Thinking like a CHEMIST: Combined Heterogeneous Embedding Model Integrating Structure and Tokens
Nikolai Rekut, Alexey Orlov, Klea Ziu +3
Representing molecular structures effectively in chemistry remains a challenging task. Language models and graph-based models are extensively utilized within this domain, consisten…