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pro vyhledávání: '"Stewart, Ian A."'
Multimodal foundation models (MFMs) such as OFASys show the potential to unlock analysis of complex data such as images, videos, and audio data via text prompts alone. However, their performance may suffer in the face of text input that differs even
Externí odkaz:
http://arxiv.org/abs/2408.14595
We classify connected 3-node restricted excitatory-inhibitory networks, extending our previous paper (`Classification of 2-node Excitatory-Inhibitory Networks', Mathematical Biosciences 373 (2024) 109205). We assume that there are two node-types and
Externí odkaz:
http://arxiv.org/abs/2406.17359
Autor:
Munikoti, Sai, Stewart, Ian, Horawalavithana, Sameera, Kvinge, Henry, Emerson, Tegan, Thompson, Sandra E, Pazdernik, Karl
Multimodal models are expected to be a critical component to future advances in artificial intelligence. This field is starting to grow rapidly with a surge of new design elements motivated by the success of foundation models in natural language proc
Externí odkaz:
http://arxiv.org/abs/2406.05496
Homeostasis is concerned with regulatory mechanisms, present in biological systems, where some specific variable is kept close to a set value as some external disturbance affects the system. Mathematically, the notion of homeostasis can be formalized
Externí odkaz:
http://arxiv.org/abs/2405.03861
Autor:
Stewart, Ian
Hopf bifurcation in networks of coupled ODEs creates periodic states in which the relative phases of nodes are well defined near bifurcation. When the network is a fully inhomogeneous nearest-neighbour coupled unidirectional ring, and node spaces are
Externí odkaz:
http://arxiv.org/abs/2404.08428
Autor:
Stewart, Ian
Systems of ODEs coupled with the topology of a closed ring are common models in biology, robotics, electrical engineering, and many other areas of science. When the component systems and couplings are identical, the system has a cyclic symmetry group
Externí odkaz:
http://arxiv.org/abs/2403.15814
We classify connected 2-node excitatory-inhibitory networks under various conditions. We assume that, as well as for connections, there are two distinct node-types, excitatory and inhibitory. In our classification we consider four different types of
Externí odkaz:
http://arxiv.org/abs/2403.02869
Autor:
Stewart, Ian, Mihalcea, Rada
Machine translation often suffers from biased data and algorithms that can lead to unacceptable errors in system output. While bias in gender norms has been investigated, less is known about whether MT systems encode bias about social relationships,
Externí odkaz:
http://arxiv.org/abs/2401.04972
In this paper, we use the framework of infinitesimal homeostasis to study general design principles for the occurrence of homeostasis in gene regulatory networks. We assume that the dynamics of the genes explicitly includes both transcription and tra
Externí odkaz:
http://arxiv.org/abs/2309.06509
Instruction finetuning is a popular paradigm to align large language models (LLM) with human intent. Despite its popularity, this idea is less explored in improving the LLMs to align existing foundation models with scientific disciplines, concepts an
Externí odkaz:
http://arxiv.org/abs/2307.01139