- Christine Herlihy, John P. Dickerson:
Networked Restless Bandits with Positive Externalities. AAAI 2023: 11997-12004 - Qing An, Mehdi Zafari, Chris Dick, Santiago Segarra, Ashutosh Sabharwal, Rahman Doost-Mohammady:
ML-Based Feedback-Free Adaptive MCS Selection for Massive Multi-User MIMO. ACSSC 2023: 157-161 - Philipp Reinhard, Mahei Manhai Li, Ernestine Dickhaut, Christoph Peters, Jan Marco Leimeister:
Empowering Recommender Systems in ITSM: A Pipeline Reference Model for AI-Based Textual Data Quality Enrichment. DESRIST 2023: 279-293 - Philipp Reinhard, Mahei Manhai Li, Ernestine Dickhaut, Cornelius Reh, Christoph Peters, Jan Marco Leimeister:
A Conceptual Model for Labeling in Reinforcement Learning Systems: A Value Co-creation Perspective. DESRIST 2023: 123-137 - Emily Fenton, Joëlle F. Dick, Annabel Hayes, Ricky Castles, John Christopher Mizelle, Sunghan Kim:
Exploring the Effects of Offline Paradigms and Feature Extraction Techniques on Performance of Motor Imagery Brain-Computer Interface: Longitudinal Pilot Study. EMBC 2023: 1-4 - Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin, Mihir Kale, Min Ma, Massimo Nicosia, Shruti Rijhwani, Parker Riley, Jean Michel A. Sarr, Xinyi Wang, John Wieting, Nitish Gupta, Anna Katanova, Christo Kirov, Dana L. Dickinson, Brian Roark, Bidisha Samanta, Connie Tao, David Ifeoluwa Adelani, Vera Axelrod, Isaac Caswell, Colin Cherry, Dan Garrette, R. Reeve Ingle, Melvin Johnson, Dmitry Panteleev, Partha Talukdar:
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages. EMNLP (Findings) 2023: 1856-1884 - Thomas Dickopf, Sven Forte, Sebastian Weber, Christian Stürmer, Christian Muggeo:
Application of the Asset Administration Shell in the context of Engineering Data Management Systems. ETFA 2023: 1-8 - Reinhard Wiesmayr, Gian Marti, Chris Dick, Haochuan Song, Christoph Studer:
Bit Error and Block Error Rate Training for ML-Assisted Communication. ICASSP 2023: 1-5 - Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra:
Accelerated Massive MIMO Detector Based on Annealed Underdamped Langevin Dynamics. ICASSP 2023: 1-5 - Connor Dickey, Christopher Smith, Quentin Johnson, Jingcheng Li, Ziqi Xu, Loukas Lazos, Ming Li:
Wiggle: Physical Challenge-Response Verification of Vehicle Platooning. ICNC 2023: 54-60 - Christopher Davin Leoputra, Dicky Prima Satya, Muhammad Romadhon Al-Ghazali:
Application of User-Centered Design Approach in Developing Interaction Design of In-Kind Donation Feature on a Crowdfunding Platform. ICEEI 2023: 1-6 - Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang:
Over-parameterized Model Optimization with Polyak-Łojasiewicz Condition. ICLR 2023 - Christine Herlihy, Aviva Prins, Aravind Srinivasan, John P. Dickerson:
Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting. KDD 2023: 732-740 - Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, K. Aditya, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li:
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. NeurIPS 2023 - Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models. NeurIPS 2023 - Niels Doorn, Tanja E. J. Vos, Beatriz Marín, Christoph Bockisch, Steffen Dick, Erik Barendsen:
Domain TILEs: Test Informed Learning with Examples from the Testing Domain. RCIS 2023: 501-508 - Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Christos Peridis, Pawel Ladosz, Jeffery Dick, Praveen K. Pilly, Soheil Kolouri:
The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning. CoRR abs/2302.10887 (2023) - Qing An, Santiago Segarra, Chris Dick, Ashutosh Sabharwal, Rahman Doost-Mohammady:
A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks. CoRR abs/2303.00958 (2023) - Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin, Mihir Kale, Min Ma, Massimo Nicosia, Shruti Rijhwani, Parker Riley, Jean Michel A. Sarr, Xinyi Wang, John Wieting, Nitish Gupta, Anna Katanova, Christo Kirov, Dana L. Dickinson, Brian Roark, Bidisha Samanta, Connie Tao, David Ifeoluwa Adelani, Vera Axelrod, Isaac Caswell, Colin Cherry, Dan Garrette, R. Reeve Ingle, Melvin Johnson, Dmitry Panteleev, Partha Talukdar:
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages. CoRR abs/2305.11938 (2023) - Emily Kaczmarek, Olivier X. Miguel, Alexa C. Bowie, Robin Ducharme, Alysha L. J. Dingwall-Harvey, Steven Hawken, Christine M. Armour, Mark C. Walker, Kevin Dick:
MetaCAM: Ensemble-Based Class Activation Map. CoRR abs/2307.16863 (2023) - Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li:
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. CoRR abs/2308.11462 (2023) - Davide Villa, Imran Khan, Florian Kaltenberger, Nicholas Hedberg, Rúben Soares da Silva, Anupa Kelkar, Chris Dick, Stefano Basagni, Josep Miquel Jornet, Tommaso Melodia, Michele Polese, Dimitrios Koutsonikolas:
An Open, Programmable, Multi-vendor 5G O-RAN Testbed with NVIDIA ARC and OpenAirInterface. CoRR abs/2310.17062 (2023) - Vladimir Belov, Tracy Erwin-Grabner, Ling-Li Zeng, Christopher R. K. Ching, André Aleman, Alyssa R. Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Katharina Brosch, Robin Bülow, Romain Colle, Colm G. Connolly, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Kathryn Cullen, Udo Dannlowski, Christopher G. Davey, Annemiek Dols, Jan Ernsting, Jennifer W. Evans, Lukas Fisch, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H. Gotlib, Hans Jörgen Grabe, Nynke A. Groenewold, Dominik Grotegerd, Tim Hahn, J. Paul Hamilton, Laura K. M. Han, Ben J. Harrison, Tiffany C. Ho, Neda Jahanshad, Alec J. Jamieson, Andriana Karuk, Tilo Kircher, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas M. Lancaster, Ramona Leenings, Meng Li, David E. J. Linden, Frank P. MacMaster, David M. A. Mehler, Susanne Meinert, Elisa Melloni, Bryon A. Mueller, Benson Mwangi, Igor Nenadic, Amar Ojha, Yasumasa Okamoto, Mardien L. Oudega, Brenda W. J. H. Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J. Portella, Elena Pozzi, Joaquim Radua, Elena Rodríguez-Cano, Matthew D. Sacchet, Raymond Salvador, Anouk Schrantee, Kang Sim, Jair C. Soares, Aleix Solanes, Dan J. Stein, Frederike Stein, Aleks Stolicyn, Sophia I. Thomopoulos, Yara J. Toenders, Aslihan Uyar-Demir, Eduard Vieta, Yolanda Vives-Gilabert, Henry Völzke, Martin Walter, Heather C. Whalley, Sarah Whittle, Nils R. Winter, Katharina Wittfeld, Margaret J. Wright, Mon-Ju Wu, Tony T. Yang, Carlos Zarate, Dick J. Veltman, Lianne Schmaal, Paul M. Thompson, Roberto Goya-Maldonado:
DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features. CoRR abs/2311.11046 (2023) - Jan-Oliver Kropp, Christian Schiffer, Katrin Amunts, Timo Dickscheid:
Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain. CoRR abs/2311.16821 (2023) - Zhenyu Xu, Hailin Xu, Zhouyang Lu, Yingying Zhao, Rui Zhu, Yujiang Wang, Mingzhi Dong, Yuhu Chang, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground. CoRR abs/2311.18251 (2023) - Emily Kaczmarek, Olivier X. Miguel, Alexa C. Bowie, Robin Ducharme, Alysha L. J. Dingwall-Harvey, Steven Hawken, Christine M. Armour, Mark C. Walker, Kevin Dick:
CAManim: Animating end-to-end network activation maps. CoRR abs/2312.11772 (2023) - 2022
- Piyush Ranjan, Christopher A. Brown, John R. Erb-Downward, Robert P. Dickson:
SNIKT: sequence-independent adapter identification and removal in long-read shotgun sequencing data. Bioinform. 38(15): 3830-3832 (2022) - Aria Beaupré, Anthony Dickson, David Milan, Christin Sum:
On the inverse hull of a Markov shift. Int. J. Algebra Comput. 32(5): 969-984 (2022) - Yingying Zhao, Yuhu Chang, Yutian Lu, Yujiang Wang, Mingzhi Dong, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Do Smart Glasses Dream of Sentimental Visions?: Deep Emotionship Analysis for Eyewear Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 38:1-38:29 (2022) - Yingying Zhao, Ning Li, Wentao Pan, Yujiang Wang, Mingzhi Dong, Sharon Xianghua Ding, Qin Lv, Robert P. Dick, Dongsheng Li, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 199:1-199:33 (2022)