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- Daniel P. Friedman
Indiana University, Bloomington, USA - Daniel J. Friedman
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Publication search results
found 833 matches
- 2024
- Judith Friedl-Knirsch, Fabian Pointecker, S. Pfistermüller, Christian Stach, Christoph Anthes, Daniel Roth:
A Systematic Literature Review of User Evaluation in Immersive Analytics. Comput. Graph. Forum 43(3) (2024) - Mahault Albarracin, Riddhi J. Pitliya, Toby St Clere Smithe, Daniel Ari Friedman, Karl J. Friston, Maxwell J. D. Ramstead:
Shared Protentions in Multi-Agent Active Inference. Entropy 26(4): 303 (2024) - Friedrich Holotiuk, Daniel Beimborn, Axel Hund:
Mechanisms for Achieving Ambidexterity in the Context of Digital Transformation: Insights from Digital Innovation Labs. J. Assoc. Inf. Syst. 25(3): 2 (2024) - Andrew Rusinko III, Mohammad A. Rezaei, Lukas Friedrich, Hans-Peter Buchstaller, Daniel Kuhn, Ashwini Ghogare:
AIDDISON: Empowering Drug Discovery with AI/ML and CADD Tools in a Secure, Web-Based SaaS Platform. J. Chem. Inf. Model. 64(1): 3-8 (2024) - Xupeng Chen, Ran Wang, Amirhossein Khalilian-Gourtani, Leyao Yu, Patricia Dugan, Daniel Friedman, Werner K. Doyle, Orrin Devinsky, Yao Wang, Adeen Flinker:
A neural speech decoding framework leveraging deep learning and speech synthesis. Nat. Mac. Intell. 6(4): 467-480 (2024) - Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Edward Paxon Frady, Friedrich T. Sommer, Yulia Sandamirskaya:
Visual odometry with neuromorphic resonator networks. Nat. Mac. Intell. 6(6): 653-663 (2024) - Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady:
Neuromorphic visual scene understanding with resonator networks. Nat. Mac. Intell. 6(6): 641-652 (2024) - Robert L. Peach, Maximilian U. Friedrich, Lara Fronemann, Muthuraman Muthuraman, Sebastian R. Schreglmann, Daniel Zeller, Christoph Schrader, Joachim K. Krauss, Alfons Schnitzler, Matthias Wittstock, Ann-Kristin Helmers, Steffen Paschen, Andrea A. Kühn, Inger Marie Skogseid, Wilhelm Eisner, Joerg Mueller, Cordula Matthies, Martin M. Reich, Jens Volkmann, Chi Wang Ip:
Head movement dynamics in dystonia: a multi-centre retrospective study using visual perceptive deep learning. npj Digit. Medicine 7(1) (2024) - Daniel Guhl, Friederike Paetz, Udo Wagner, Michel Wedel:
Predicting and optimizing marketing performance in dynamic markets. OR Spectr. 46(1): 1-27 (2024) - Daniel Kroneberg, Astrid Nümann, Martina Minnerop, Maria Rönnefarth, Matthias Endres, Andrea A. Kühn, Friedemann Paul, Sarah Doss, Susanne Solbrig, Morad Elshehabi, Walter Maetzler, Tanja Schmitz-Hübsch:
Gait Variability as a Potential Motor Marker of Cerebellar Disease - Relationship between Variability of Stride, Arm Swing and Trunk Movements, and Walking Speed. Sensors 24(11): 3476 (2024) - Judith Friedl-Knirsch, Christian Stach, Fabian Pointecker, Christoph Anthes, Daniel Roth:
A Study on Collaborative Visual Data Analysis in Augmented Reality with Asymmetric Display Types. IEEE Trans. Vis. Comput. Graph. 30(5): 2633-2643 (2024) - Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Russ Salakhutdinov, Daniel Fried:
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks. ACL (1) 2024: 881-905 - Andy Liu, Mona Diab, Daniel Fried:
Evaluating Large Language Model Biases in Persona-Steered Generation. ACL (Findings) 2024: 9832-9850 - Angel Hsing-Chi Hwang, Dan Adler, Meir Friedenberg, Qian Yang:
Societal-Scale Human-AI Interaction Design? How Hospitals and Companies are Integrating Pervasive Sensing into Mental Healthcare. CHI 2024: 435:1-435:16 - Weixi Ma, Siyu Wang, Arnaud Venet, Junhua Gu, Subbu Subramanian, Rocky Liu, Yafei Yang, Daniel P. Friedman:
F3: A Compiler for Feature Engineering. FUNARCH 2024: 3-9 - Saujas Vaduguru, Daniel Fried, Yewen Pu:
Generating Pragmatic Examples to Train Neural Program Synthesizers. ICLR 2024 - Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap:
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. ICLR 2024 - Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig:
WebArena: A Realistic Web Environment for Building Autonomous Agents. ICLR 2024 - Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam, Elena L. Glassman, Daniel Fried:
Amortizing Pragmatic Program Synthesis with Rankings. ICML 2024 - Zhiruo Wang, Graham Neubig, Daniel Fried:
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. ICML 2024 - Kailin Tong, Yuxi Hu, Berin Dikic, Selim Solmaz, Friedrich Fraundorfer, Daniel Watzenig:
Robots Saving Lives: A Literature Review About Search and Rescue (SAR) in Harsh Environments. IV 2024: 953-960 - Omri Avrahami, Amir Hertz, Yael Vinker, Moab Arar, Shlomi Fruchter, Ohad Fried, Daniel Cohen-Or, Dani Lischinski:
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models. SIGGRAPH (Conference Paper Track) 2024: 26 - Raphael Robertazzi, David J. Frank, Kevin Tien, John Timmerwilke, Peilin Song, Daniel J. Friedman:
Characterization of 14nm CMOS Technology At Cryogenic Temperatures Using Dense Addressable Arrays. VTS 2024: 1-7 - Daniel Arkushin, Bar Cohen, Shmuel Peleg, Ohad Fried:
GEFF: Improving Any Clothes-Changing Person ReID Model Using Gallery Enrichment with Face Features. WACV (Workshops) 2024: 143-153 - Valerio Capraro, Austin Lentsch, Daron Acemoglu, Selin Akgün, Aisel Akhmedova, Ennio Bilancini, Jean-François Bonnefon, Pablo Brañas-Garza, Luigi Butera, Karen M. Douglas, Jim A. C. Everett, Gerd Gigerenzer, Christine Greenhow, Daniel A. Hashimoto, Julianne Holt-Lunstad, Jolanda Jetten, Simon Johnson, Chiara Longoni, Pete Lunn, Simone Natale, Iyad Rahwan, Neil Selwyn, Vivek Singh, Siddharth Suri, Jennifer Sutcliffe, Joe Tomlinson, Sander van der Linden, Paul A. M. Van Lange, Friederike Wall, Jay J. Van Bavel, Riccardo Viale:
The impact of generative artificial intelligence on socioeconomic inequalities and policy making. CoRR abs/2401.05377 (2024) - Zhiruo Wang, Daniel Fried, Graham Neubig:
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. CoRR abs/2401.12869 (2024) - Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Ruslan Salakhutdinov, Daniel Fried:
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks. CoRR abs/2401.13649 (2024) - Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, Graham Neubig, Aditi Raghunathan:
Repetition Improves Language Model Embeddings. CoRR abs/2402.15449 (2024) - Álvaro López-Chilet, Zhaoyi Liu, Jon Ander Gómez, Carlos Alvarez, Marivi Alonso Ortiz, Andres Orejuela Mesa, David Newton, Friedrich Wolf-Monheim, Sam Michiels, Danny Hughes:
ConvDTW-ACS: Audio Segmentation for Track Type Detection During Car Manufacturing. CoRR abs/2402.18204 (2024) - Zhiruo Wang, Zhoujun Cheng, Hao Zhu, Daniel Fried, Graham Neubig:
What Are Tools Anyway? A Survey from the Language Model Perspective. CoRR abs/2403.15452 (2024)
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