Zobrazeno 1 - 10
of 3 725
pro vyhledávání: '"Quirke, P."'
The distributional simplicity bias (DSB) posits that neural networks learn low-order moments of the data distribution first, before moving on to higher-order correlations. In this work, we present compelling new evidence for the DSB by showing that n
Externí odkaz:
http://arxiv.org/abs/2402.04362
Language Models (LMs) are increasingly used for a wide range of prediction tasks, but their training can often neglect rare edge cases, reducing their reliability. Here, we define a stringent standard of trustworthiness whereby the task algorithm and
Externí odkaz:
http://arxiv.org/abs/2402.02619
Autor:
Nana, G., Mitra, S., Watson, H., Young, C., Wood, H.M., Perry, S.L., Race, Amanda D., Quirke, P., Toogood, G.J., Loadman, Paul, Hull, M.A.
Yes
Background: Oral administration of purified omega-3 (ω-3) PUFAs is associated with changes to the fecal microbiome. However, it is not known whether this effect is associated with increased PUFA concentrations in the gut. Objectives: We inv
Background: Oral administration of purified omega-3 (ω-3) PUFAs is associated with changes to the fecal microbiome. However, it is not known whether this effect is associated with increased PUFA concentrations in the gut. Objectives: We inv
Externí odkaz:
http://hdl.handle.net/10454/18557
Autor:
Ivanitskiy, Michael Igorevich, Spies, Alex F., Räuker, Tilman, Corlouer, Guillaume, Mathwin, Chris, Quirke, Lucia, Rager, Can, Shah, Rusheb, Valentine, Dan, Behn, Cecilia Diniz, Inoue, Katsumi, Fung, Samy Wu
Transformer models underpin many recent advances in practical machine learning applications, yet understanding their internal behavior continues to elude researchers. Given the size and complexity of these models, forming a comprehensive picture of t
Externí odkaz:
http://arxiv.org/abs/2312.02566
Prior work has shown the existence of contextual neurons in language models, including a neuron that activates on German text. We show that this neuron exists within a broader contextual n-gram circuit: we find late layer neurons which recognize and
Externí odkaz:
http://arxiv.org/abs/2311.00863
Autor:
Quirke, Philip, Barez, Fazl
Understanding the inner workings of machine learning models like Transformers is vital for their safe and ethical use. This paper provides a comprehensive analysis of a one-layer Transformer model trained to perform n-digit integer addition. Our find
Externí odkaz:
http://arxiv.org/abs/2310.13121
Autor:
Ivanitskiy, Michael Igorevich, Shah, Rusheb, Spies, Alex F., Räuker, Tilman, Valentine, Dan, Rager, Can, Quirke, Lucia, Mathwin, Chris, Corlouer, Guillaume, Behn, Cecilia Diniz, Fung, Samy Wu
Understanding how machine learning models respond to distributional shifts is a key research challenge. Mazes serve as an excellent testbed due to varied generation algorithms offering a nuanced platform to simulate both subtle and pronounced distrib
Externí odkaz:
http://arxiv.org/abs/2309.10498
Autor:
Watson, H., Mitra, S., Croden, F.C., Taylor, M., Wood, H.M., Perry, S.L., Spencer, Jade A., Quirke, P., Toogood, G.J., Lawton, C.L., Dye, L., Loadman, Paul, Hull, M.A.
Yes
Objective Omega-3 polyunsaturated fatty acids (PUFAs) have anticolorectal cancer (CRC) activity. The intestinal microbiota has been implicated in colorectal carcinogenesis. Dietary omega-3 PUFAs alter the mouse intestinal microbiome compatib
Objective Omega-3 polyunsaturated fatty acids (PUFAs) have anticolorectal cancer (CRC) activity. The intestinal microbiota has been implicated in colorectal carcinogenesis. Dietary omega-3 PUFAs alter the mouse intestinal microbiome compatib
Externí odkaz:
http://hdl.handle.net/10454/13400
Autor:
Marco Gustav, Nic Gabriel Reitsam, Zunamys I. Carrero, Chiara M. L. Loeffler, Marko van Treeck, Tanwei Yuan, Nicholas P. West, Philip Quirke, Titus J. Brinker, Hermann Brenner, Loëtitia Favre, Bruno Märkl, Albrecht Stenzinger, Alexander Brobeil, Michael Hoffmeister, Julien Calderaro, Anaïs Pujals, Jakob Nikolas Kather
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-11 (2024)
Abstract In the spectrum of colorectal tumors, microsatellite-stable (MSS) tumors with DNA polymerase ε (POLE) mutations exhibit a hypermutated profile, holding the potential to respond to immunotherapy similarly to their microsatellite-instable (MS
Externí odkaz:
https://doaj.org/article/43aa367ce4a841f587e2ab532d5c55a4
Autor:
Wagner, Sophia J., Reisenbüchler, Daniel, West, Nicholas P., Niehues, Jan Moritz, Veldhuizen, Gregory Patrick, Quirke, Philip, Grabsch, Heike I., Brandt, Piet A. van den, Hutchins, Gordon G. A., Richman, Susan D., Yuan, Tanwei, Langer, Rupert, Jenniskens, Josien Christina Anna, Offermans, Kelly, Mueller, Wolfram, Gray, Richard, Gruber, Stephen B., Greenson, Joel K., Rennert, Gad, Bonner, Joseph D., Schmolze, Daniel, James, Jacqueline A., Loughrey, Maurice B., Salto-Tellez, Manuel, Brenner, Hermann, Hoffmeister, Michael, Truhn, Daniel, Schnabel, Julia A., Boxberg, Melanie, Peng, Tingying, Kather, Jakob Nikolas
Background: Deep learning (DL) can extract predictive and prognostic biomarkers from routine pathology slides in colorectal cancer. For example, a DL test for the diagnosis of microsatellite instability (MSI) in CRC has been approved in 2022. Current
Externí odkaz:
http://arxiv.org/abs/2301.09617