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Publication search results
found 1,087 matches
- 2024
- Thomas G. Brooks, Nicholas F. Lahens, Antonijo Mrcela, Dimitra Sarantopoulou, Soumyashant Nayak, Amruta Naik, Shaon Sengupta, Peter S. Choi, Gregory R. Grant:
BEERS2: RNA-Seq simulation through high fidelity in silico modeling. Briefings Bioinform. 25(3) (2024) - Wei Shao, Sulaiman Vesal, Simon J. C. Soerensen, Indrani Bhattacharya, Negar Golestani, Rikiya Yamashita, Christian A. Kunder, Richard E. Fan, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu:
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate. Comput. Biol. Medicine 173: 108318 (2024) - Uttam K. Gupta, Dinabandhu Pradhan:
Strengthening Brooks' chromatic bound on P6-free graphs. Discret. Appl. Math. 342: 334-346 (2024) - A. L. Swan, A. Broadbent, Prakash Singh Gaur, A. Mishra, Kim T. Gurwitz, A. Mithani, Sarah L. Morgan, G. Malhotra, Catherine Brooksbank:
Making bioinformatics training FAIR: the EMBL-EBI training portal. Frontiers Bioinform. 4 (2024) - Robert N. M. Watson, David Chisnall, Jessica Clarke, Brooks Davis, Nathaniel Wesley Filardo, Ben Laurie, Simon W. Moore, Peter G. Neumann, Alexander Richardson, Peter Sewell, Konrad Witaszczyk, Jonathan Woodruff:
CHERI: Hardware-Enabled C/C++ Memory Protection at Scale. IEEE Secur. Priv. 22(4): 50-61 (2024) - Parveen Gartan, Fahimeh Khorsand, Pushpak Mizar, Juha Ilmari Vahokovski, Luis F. Cervantes, Bengt Erik Haug, Ruth Brenk, Charles L. Brooks III, Nathalie Reuter:
Investigating Polypharmacology through Targeting Known Human Neutrophil Elastase Inhibitors to Proteinase 3. J. Chem. Inf. Model. 64(3): 621-626 (2024) - Katarzyna Kapuscinska, Zofia Dukala, Mekhola Doha, Eman Ansari, Jimin Wang, Gary W. Brudvig, Bernand Brooks, Muhamed Amin:
Bridging the Coordination Chemistry of Small Compounds and Metalloproteins Using Machine Learning. J. Chem. Inf. Model. 64(7): 2586-2593 (2024) - Ge Zhang, Sungyun Yang, Jing Fan Yang, David Gonzalez-Medrano, Marc Z. Miskin, Volodymyr B. Koman, Yuwen Zeng, Sylvia Xin Li, Matthias Kuehne, Albert Tianxiang Liu, Allan M. Brooks, Mahesh Kumar, Michael S. Strano:
High energy density picoliter-scale zinc-air microbatteries for colloidal robotics. Sci. Robotics 9(93) (2024) - Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi:
Silent Data Corruption in Robot Operating System: A Case for End-to-End System-Level Fault Analysis Using Autonomous UAVs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(4): 1037-1050 (2024) - Alexander Tong, Kilian Fatras, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, Yoshua Bengio:
Improving and generalizing flow-based generative models with minibatch optimal transport. Trans. Mach. Learn. Res. 2024 (2024) - Nathaniel Wesley Filardo, Brett F. Gutstein, Jonathan Woodruff, Jessica Clarke, Peter Rugg, Brooks Davis, Mark Johnston, Robert M. Norton, David Chisnall, Simon W. Moore, Peter G. Neumann, Robert N. M. Watson:
Cornucopia Reloaded: Load Barriers for CHERI Heap Temporal Safety. ASPLOS (2) 2024: 251-268 - Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh:
GPU-based Private Information Retrieval for On-Device Machine Learning Inference. ASPLOS (1) 2024: 197-214 - Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks:
CAMEL: Co-Designing AI Models and eDRAMs for Efficient On-Device Learning. HPCA 2024: 861-875 - Avishek Joey Bose, Tara Akhound-Sadegh, Guillaume Huguet, Kilian Fatras, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael M. Bronstein, Alexander Tong:
SE(3)-Stochastic Flow Matching for Protein Backbone Generation. ICLR 2024 - Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush:
Guess & Sketch: Language Model Guided Transpilation. ICLR 2024 - Tara Akhound-Sadegh, Jarrid Rector-Brooks, Avishek Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alexander Tong:
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. ICML 2024 - Shannon K. Gallagher, Jasmine Ratchford, Tyler Brooks, Bryan P. Brown, Eric Heim, William R. Nichols, Scott Mcmillan, Swati Rallapalli, Carol J. Smith, Nathan M. VanHoudnos, Nick Winski, Andrew O. Mellinger:
Assessing LLMs for High Stakes Applications. ICSE-SEIP 2024: 103-105 - Martin Cochet, Karthik Swaminathan, Erik Jens Loscalzo, Joseph Zuckerman, Maico Cassel dos Santos, Davide Giri, Alper Buyuktosunoglu, Tianyu Jia, David Brooks, Gu-Yeon Wei, Kenneth L. Shepard, Luca P. Carloni, Pradip Bose:
BlitzCoin: Fully Decentralized Hardware Power Management for Accelerator-Rich SoCs. ISCA 2024: 801-817 - Samuel Hsia, Alicia Golden, Bilge Acun, Newsha Ardalani, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu:
MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems. ISCA 2024: 818-833 - Sai Qian Zhang, Thierry Tambe, Gu-Yeon Wei, David Brooks:
JointNF: Enhancing DNN Performance through Adaptive N: M Pruning across both Weight and Activation. ISLPED 2024: 1-6 - Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu:
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation. ISPASS 2024: 257-267 - Maico Cassel dos Santos, Tianyu Jia, Joseph Zuckerman, Martin Cochet, Davide Giri, Erik Jens Loscalzo, Karthik Swaminathan, Thierry Tambe, Jeff Jun Zhang, Alper Buyuktosunoglu, Kuan-Lin Chiu, Giuseppe Di Guglielmo, Paolo Mantovani, Luca Piccolboni, Gabriele Tombesi, David Trilla, John-David Wellman, En-Yu Yang, Aporva Amarnath, Ying Jing, Bakshree Mishra, Joshua Park, Vignesh Suresh, Sarita V. Adve, Pradip Bose, David Brooks, Luca P. Carloni, Kenneth L. Shepard, Gu-Yeon Wei:
14.5 A 12nm Linux-SMP-Capable RISC-V SoC with 14 Accelerator Types, Distributed Hardware Power Management and Flexible NoC-Based Data Orchestration. ISSCC 2024: 262-264 - Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares:
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. LAK 2024: 12-23 - Vance Ricks, Meica Magnani, Casey Fiesler, Grace Barkhuff, Stacy A. Doore, Alexi Brooks, Michael Zimmer:
Teaching Ethics In CS Programs - Questions, Models, Resources, Assessments. SIGCSE (2) 2024: 1921 - Anjali Singh, Anna Fariha, Christopher Brooks, Gustavo Soares, Austin Z. Henley, Ashish Tiwari, Chethan M, Heeryung Choi, Sumit Gulwani:
Investigating Student Mistakes in Introductory Data Science Programming. SIGCSE (1) 2024: 1258-1264 - Sam Zaza, Cindy K. Riemenschneider, Indira R. Guzman, May Bantan, Thema Monroe-White, Rui Sundrup, Nita Brooks, Jason A. Williams, Dongwon Lee:
Proceedings of the 2024 Computers and People Research Conference, SIGMIS-CPR 2024, Murfreesboro, TN, USA, 29 May 2024- 1 June 2024. ACM 2024 [contents] - Hyeri Roh, Jinsu Yeo, Yeongil Ko, Gu-Yeon Wei, David Brooks, Wooseok Choi:
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU. CoRR abs/2401.16732 (2024) - Emily S. Sumner, Jonathan A. DeCastro, Jean Costa, Deepak E. Gopinath, Everlyne Kimani, Shabnam Hakimi, Allison Morgan, Andrew Best, Hieu Nguyen, Daniel J. Brooks, Bassam ul Haq, Andrew Patrikalakis, Hiroshi Yasuda, Katharine Sieck, Avinash Balachandran, Tiffany L. Chen, Guy Rosman:
Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference. CoRR abs/2402.05893 (2024) - Tara Akhound-Sadegh, Jarrid Rector-Brooks, Avishek Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alexander Tong:
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. CoRR abs/2402.06121 (2024) - Iulian Brumar, Rodrigo Rocha, Alex Bernat, Devashree Tripathy, David Brooks, Gu-Yeon Wei:
Guac: Energy-Aware and SSA-Based Generation of Coarse-Grained Merged Accelerators from LLVM-IR. CoRR abs/2402.13513 (2024)
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