| 1055 | -- | 1056 | . Much to discuss in AI ethics |
| 1057 | -- | 1060 | Alexandra George, Toby Walsh. Can AI invent? |
| 1061 | -- | 1064 | Madhulika Srikumar, Rebecca Finlay, Grace Abuhamad, Carolyn Ashurst, Rosie Campbell, Emily Campbell-Ratcliffe, Hudson Hongo, Sara R. Jordan, Joseph Lindley, Aviv Ovadya, Joelle Pineau. Advancing ethics review practices in AI research |
| 1065 | -- | 1067 | Kohitij Kar, Simon Kornblith, Evelina Fedorenko. Interpretability of artificial neural network models in artificial intelligence versus neuroscience |
| 1068 | -- | 1076 | Cédric Colas, Tristan Karch, Clément Moulin-Frier, Pierre-Yves Oudeyer. Language and culture internalization for human-like autotelic AI |
| 1077 | -- | 1087 | Hao Ju, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li. Transferring policy of deep reinforcement learning from simulation to reality for robotics |
| 1088 | -- | 1100 | Shushan Toneyan, Ziqi Tang, Peter K. Koo. Evaluating deep learning for predicting epigenomic profiles |
| 1101 | -- | 1112 | Maxim A. Ziatdinov, Ayana Ghosh, Chun Yin Wong, Sergei V. Kalinin. AtomAI framework for deep learning analysis of image and spectroscopy data in electron and scanning probe microscopy |
| 1113 | -- | 1120 | Daniel Floryan, Michael D. Graham. Data-driven discovery of intrinsic dynamics |
| 1121 | -- | 1129 | Jie Cao, Xiaosong Zhang, Vahakn Shahinian, Huiying Yin, Diane Steffick, Rajiv Saran, Susan Crowley, Michael Mathis, Girish N. Nadkarni, Michael Heung, Karandeep Singh. Generalizability of an acute kidney injury prediction model across health systems |
| 1130 | -- | 1142 | Lucian Chan, Rajendra Kumar, Marcel L. Verdonk, Carl Poelking. A multilevel generative framework with hierarchical self-contrasting for bias control and transparency in structure-based ligand design |
| 1143 | -- | 1154 | Justin Engelmann, Alice D. McTrusty, Ian J. C. MacCormick, Emma Pead, Amos J. Storkey, Miguel O. Bernabeu. Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning |
| 1155 | -- | 1164 | Somdatta Goswami, Katiana Kontolati, Michael D. Shields, George Em Karniadakis. Deep transfer operator learning for partial differential equations under conditional shift |
| 1165 | -- | 1173 | Alejandro Güemes, Carlos Sanmiguel Vila, Stefano Discetti. Super-resolution generative adversarial networks of randomly-seeded fields |
| 1174 | -- | 1184 | Hannah K. Wayment-Steele, Wipapat Kladwang, Andrew M. Watkins, Do Soon Kim, Bojan Tunguz, Walter Reade, Maggie Demkin, Jonathan Romano, Roger Wellington-Oguri, John J. Nicol, Jiayang Gao, Kazuki Onodera, Kazuki Fujikawa, Hanfei Mao, Gilles Vandewiele, Michele Tinti, Bram Steenwinckel, Takuya Ito, Taiga Noumi, Shujun He, Keiichiro Ishi, Youhan Lee, Fatih Öztürk, King Yuen Chiu, Emin Öztürk, Karim Amer, Mohamed Fares, Rhiju Das. Deep learning models for predicting RNA degradation via dual crowdsourcing |
| 1185 | -- | 1197 | Gido M. van de Ven, Tinne Tuytelaars, Andreas S. Tolias. Three types of incremental learning |
| 1198 | -- | 1208 | Yongbin Jin, Xianwei Liu, Yecheng Shao, Hongtao Wang, Wei Yang. High-speed quadrupedal locomotion by imitation-relaxation reinforcement learning |
| 1209 | -- | 1223 | Yiyuan Fang, Shuyi Deng, Cai Li. A generalizable deep learning framework for inferring fine-scale germline mutation rate maps |
| 1224 | -- | 1237 | Eric Bach 0002, Emma Schymanski, Juho Rousu. Joint structural annotation of small molecules using liquid chromatography retention order and tandem mass spectrometry data |
| 1238 | -- | 1245 | Jakub Kudela. A critical problem in benchmarking and analysis of evolutionary computation methods |
| 1246 | -- | 1255 | Tiago Janela, Jürgen Bajorath. Simple nearest-neighbour analysis meets the accuracy of compound potency predictions using complex machine learning models |
| 1256 | -- | 1264 | Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das. Large-scale chemical language representations capture molecular structure and properties |
| 1265 | -- | 1266 | Zhenge Jia, Xiaowei Xu 0004, Jingtong Hu, Yiyu Shi 0001. Low-power object-detection challenge on unmanned aerial vehicles |
| 1267 | -- | 0 | Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, Daniela Rus. Publisher Correction: Closed-form continuous-time neural networks |