Zobrazeno 1 - 10
of 12 746
pro vyhledávání: '"Teichmann, A."'
Large language models (LLMs) have demonstrated remarkable performance across various downstream tasks. However, the high computational and memory requirements of LLMs are a major bottleneck. To address this, parameter-efficient fine-tuning (PEFT) met
Externí odkaz:
http://arxiv.org/abs/2410.20777
The precision of contouring target structures and organs-at-risk (OAR) in radiotherapy planning is crucial for ensuring treatment efficacy and patient safety. Recent advancements in deep learning (DL) have significantly improved OAR contouring perfor
Externí odkaz:
http://arxiv.org/abs/2409.18628
Autor:
Megas, Stathis, Chen, Daniel G., Polanski, Krzysztof, Eliasof, Moshe, Schonlieb, Carola-Bibiane, Teichmann, Sarah A.
Celcomen leverages a mathematical causality framework to disentangle intra- and inter- cellular gene regulation programs in spatial transcriptomics and single-cell data through a generative graph neural network. It can learn gene-gene interactions, a
Externí odkaz:
http://arxiv.org/abs/2409.05804
Autor:
Radtke, Andrea J., Anidi, Ifeanyichukwu, Arakkal, Leanne, Arroyo-Mejias, Armando, Beuschel, Rebecca T., Borner, Katy, Chu, Colin J., Clark, Beatrice, Clatworthy, Menna R., Colautti, Jake, Croteau, Joshua, Denha, Saven, Dever, Rose, Dutra, Walderez O., Fritzsche, Sonja, Fullam, Spencer, Gerner, Michael Y., Gola, Anita, Gollob, Kenneth J., Hernandez, Jonathan M., Hor, Jyh Liang, Ichise, Hiroshi, Jing, Zhixin, Jonigk, Danny, Kandov, Evelyn, Kastenmueller, Wolfgang, Koenig, Joshua F. E., Kothurkar, Aanandita, Kreins, Alexandra Y., Lamborn, Ian, Lin, Yuri, Morais, Katia Luciano Pereira, Lunich, Aleksandra, Luz, Jean C. S., MacDonald, Ryan B., Makranz, Chen, Maltez, Vivien I., Moriaty, Ryan V., Ocampo-Godinez, Juan M., Olyntho, Vitoria M., Padhan, Kartika, Remmert, Kirsten, Richoz, Nathan, Schrom, Edward C., Shang, Wanjing, Shi, Lihong, Shih, Rochelle M., Speranza, Emily, Stierli, Salome, Teichmann, Sarah A., Veres, Tibor Z., Vierhout, Megan, Wachter, Brianna T., Wade-Vallance, Adam K., Williams, Margaret, Zangger, Nathan, Germain, Ronald N., Yaniv, Ziv
Iterative Bleaching Extends multipleXity (IBEX) is a versatile method for highly multiplexed imaging of diverse tissues. Based on open science principles, we created the IBEX Knowledge-Base, a resource for reagents, protocols and more, to empower inn
Externí odkaz:
http://arxiv.org/abs/2407.19059
Autor:
Krach, Florian, Teichmann, Josef
The Path-dependent Neural Jump ODE (PD-NJ-ODE) is a model for online prediction of generic (possibly non-Markovian) stochastic processes with irregular (in time) and potentially incomplete (with respect to coordinates) observations. It is a model for
Externí odkaz:
http://arxiv.org/abs/2407.18808
Autor:
Wirth-Singh, Anna, Jimenez, Arturo Martin, Choi, Minho, Fröch, Johannes E., Johnson, Rose, Teichmann, Tina Le, Coppens, Zachary, Majumdar, Arka
Lenses with dynamic focal length, also called zoom functionality, enable a variety of applications related to imaging and sensing. The traditional approach of stacking refractive lenses to achieve this functionality results in an expensive, heavy opt
Externí odkaz:
http://arxiv.org/abs/2407.11255
Robust utility optimization enables an investor to deal with market uncertainty in a structured way, with the goal of maximizing the worst-case outcome. In this work, we propose a generative adversarial network (GAN) approach to (approximately) solve
Externí odkaz:
http://arxiv.org/abs/2403.15243
Autor:
Schlappa, Justine, Ghiringhelli, Giacomo, Van Kuiken, Benjamin E., Teichmann, Martin, Miedema, Piter S., Delitz, Jan Torben, Gerasimova, Natalia, Molodtsov, Serguei, Adriano, Luigi, Baranasic, Bernard, Broers, Carsten, Carley, Robert, Gessler, Patrick, Ghodrati, Nahid, Hickin, David, Hoang, Le Phuong, Izquierdo, Manuel, Mercadier, Laurent, Mercurio, Giuseppe, Parchenko, Sergii, Stupar, Marijan, Yin, Zhong, Martinelli, Leonardo, Merzoni, Giacomo, Peng, Ying Ying, Reuss, Torben, Lalithambika, Sreeju Sreekantan Nair, Techert, Simone, Laarmann, Tim, Huotari, Simo, Schroeter, Christian, Langer, Burkhard, Giessel, Tatjana, Buechner, Robby, Buchheim, Jana, da Cruz, Vinicius Vaz, Eckert, Sebastian, Gwalt, Grzegorz, Liu, Chun-Yu, Siewert, Frank, Sohrt, Christian, Weniger, Christian, Pietzsch, Annette, Neppl, Stefan, Senf, Friedmar, Scherz, Andreas, Föhlisch, Alexander
Resonant Inelastic X-ray Scattering (RIXS) is an ideal X-ray spectroscopy method to push the combination of energy and time resolutions to the Fourier transform ultimate limit, because it is unaffected by the core-hole lifetime energy broadening. And
Externí odkaz:
http://arxiv.org/abs/2403.08461
Autor:
Alpat, Ali Behcet, Bartolini, Giovanni, Wusimanjiang, Talifujiang, Mattausch, Goesta, Teichmann, Tobias, Bluethner, Ralf, Müller, Michael Thomas, Zschech, Carsten, Coban, Abdullah, Bozkurt, Arca
Materials to be deployed in space applications have to undergo a variety of different test scenarios, simulating actual space conditions. Among these materials solar photovoltaic cells, optics, meta-materials and more will be directly exposed to spac
Externí odkaz:
http://arxiv.org/abs/2402.06027
We present convincing empirical results on the application of Randomized Signature Methods for non-linear, non-parametric drift estimation for a multi-variate financial market. Even though drift estimation is notoriously ill defined due to small sign
Externí odkaz:
http://arxiv.org/abs/2312.16448