EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants

Authors: Cappello, Franck, Madireddy, Sandeep, Underwood, Robert, Getty, Neil, Chia, Nicholas Lee-Ping, Ramachandra, Nesar, Nguyen, Josh, Keceli, Murat, Mallick, Tanwi, Li, Zilinghan, Ngom, Marieme, Zhang, Chenhui, Yanguas-Gil, Angel, Antoniuk, Evan, Kailkhura, Bhavya, Tian, Minyang, Du, Yufeng, Ting, Yuan-Sen, Wells, Azton, Nicolae, Bogdan, Maurya, Avinash, Rafique, M. Mustafa, Huerta, Eliu, Li, Bo, Foster, Ian, Stevens, Rick

Subject Terms: Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2502.20309

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons

Authors: Ghosh, Shaona, Frase, Heather, Williams, Adina, Luger, Sarah, Röttger, Paul, Barez, Fazl, McGregor, Sean, Fricklas, Kenneth, Kumar, Mala, Feuillade--Montixi, Quentin, Bollacker, Kurt, Friedrich, Felix, Tsang, Ryan, Vidgen, Bertie, Parrish, Alicia, Knotz, Chris, Presani, Eleonora, Bennion, Jonathan, Boston, Marisa Ferrara, Kuniavsky, Mike, Hutiri, Wiebke, Ezick, James, Salem, Malek Ben, Sahay, Rajat, Goswami, Sujata, Gohar, Usman, Huang, Ben, Sarin, Supheakmungkol, Alhajjar, Elie, Chen, Canyu, Eng, Roman, Manjusha, Kashyap Ramanandula, Mehta, Virendra, Long, Eileen, Emani, Murali, Vidra, Natan, Rukundo, Benjamin, Shahbazi, Abolfazl, Chen, Kongtao, Ghosh, Rajat, Thangarasa, Vithursan, Peigné, Pierre, Singh, Abhinav, Bartolo, Max, Krishna, Satyapriya, Akhtar, Mubashara, Gold, Rafael, Coleman, Cody, Oala, Luis, Tashev, Vassil, Imperial, Joseph Marvin, Russ, Amy, Kunapuli, Sasidhar, Miailhe, Nicolas, Delaunay, Julien, Radharapu, Bhaktipriya, Shinde, Rajat, Tuesday, Dutta, Debojyoti, Grabb, Declan, Gangavarapu, Ananya, Sahay, Saurav, Gangavarapu, Agasthya, Schramowski, Patrick, Singam, Stephen, David, Tom, Han, Xudong, Mammen, Priyanka Mary, Prabhakar, Tarunima, Kovatchev, Venelin, Weiss, Rebecca, Ahmed, Ahmed, Manyeki, Kelvin N., Madireddy, Sandeep, Khomh, Foutse, Zhdanov, Fedor, Baumann, Joachim, Vasan, Nina, Yang, Xianjun, Mougn, Carlos, Varghese, Jibin Rajan, Chinoy, Hussain, Jitendar, Seshakrishna, Maskey, Manil, Hardgrove, Claire V., Li, Tianhao, Gupta, Aakash, Joswin, Emil, Mai, Yifan, Kumar, Shachi H, Patlak, Cigdem, Lu, Kevin, Alessi, Vincent, Balija, Sree Bhargavi, Gu, Chenhe, Sullivan, Robert, Gealy, James, Lavrisa, Matt, Goel, James, Mattson, Peter, Liang, Percy, Vanschoren, Joaquin

Subject Terms: Computer Science - Computers and Society, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2503.05731

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry

Authors: Zimmermann, Yoel, Bazgir, Adib, Afzal, Zartashia, Agbere, Fariha, Ai, Qianxiang, Alampara, Nawaf, Al-Feghali, Alexander, Ansari, Mehrad, Antypov, Dmytro, Aswad, Amro, Bai, Jiaru, Baibakova, Viktoriia, Biswajeet, Devi Dutta, Bitzek, Erik, Bocarsly, Joshua D., Borisova, Anna, Bran, Andres M, Brinson, L. Catherine, Calderon, Marcel Moran, Canalicchio, Alessandro, Chen, Victor, Chiang, Yuan, Circi, Defne, Charmes, Benjamin, Chaudhary, Vikrant, Chen, Zizhang, Chiu, Min-Hsueh, Clymo, Judith, Dabhadkar, Kedar, Daelman, Nathan, Datar, Archit, de Jong, Wibe A., Evans, Matthew L., Fard, Maryam Ghazizade, Fisicaro, Giuseppe, Gangan, Abhijeet Sadashiv, George, Janine, Gonzalez, Jose D. Cojal, Götte, Michael, Gupta, Ankur K., Harb, Hassan, Hong, Pengyu, Ibrahim, Abdelrahman, Ilyas, Ahmed, Imran, Alishba, Ishimwe, Kevin, Issa, Ramsey, Jablonka, Kevin Maik, Jones, Colin, Josephson, Tyler R., Juhasz, Greg, Kapoor, Sarthak, Kang, Rongda, Khalighinejad, Ghazal, Khan, Sartaaj, Klawohn, Sascha, Kuman, Suneel, Ladines, Alvin Noe, Leang, Sarom, Lederbauer, Magdalena, Sheng-Lun, Liao, Liu, Hao, Liu, Xuefeng, Lo, Stanley, Madireddy, Sandeep, Maharana, Piyush Ranjan, Maheshwari, Shagun, Mahjoubi, Soroush, Márquez, José A., Mills, Rob, Mohanty, Trupti, Mohr, Bernadette, Moosavi, Seyed Mohamad, Moßhammer, Alexander, Naghdi, Amirhossein D., Naik, Aakash, Narykov, Oleksandr, Näsström, Hampus, Nguyen, Xuan Vu, Ni, Xinyi, O'Connor, Dana, Olayiwola, Teslim, Ottomano, Federico, Ozhan, Aleyna Beste, Pagel, Sebastian, Parida, Chiku, Park, Jaehee, Patel, Vraj, Patyukova, Elena, Petersen, Martin Hoffmann, Pinto, Luis, Pizarro, José M., Plessers, Dieter, Pradhan, Tapashree, Pratiush, Utkarsh, Puli, Charishma, Qin, Andrew, Rajabi, Mahyar, Ricci, Francesco, Risch, Elliot, Ríos-García, Martiño, Roy, Aritra, Rug, Tehseen, Sayeed, Hasan M, Scheidgen, Markus, Schilling-Wilhelmi, Mara, Schloz, Marcel, Schöppach, Fabian, Schumann, Julia, Schwaller, Philippe, Schwarting, Marcus, Sharlin, Samiha, Shen, Kevin, Shi, Jiale, Si, Pradip, D'Souza, Jennifer, Sparks, Taylor, Sudhakar, Suraj, Talirz, Leopold, Tang, Dandan, Taran, Olga, Terboven, Carla, Tropin, Mark, Tsymbal, Anastasiia, Ueltzen, Katharina, Unzueta, Pablo Andres, Vasan, Archit, Vinchurkar, Tirtha, Vo, Trung, Vogel, Gabriel, Völker, Christoph, Weinreich, Jan, Yang, Faradawn, Zaki, Mohd, Zhang, Chi, Zhang, Sylvester, Zhang, Weijie, Zhu, Ruijie, Zhu, Shang, Janssen, Jan, Li, Calvin, Foster, Ian, Blaiszik, Ben

Subject Terms: Computer Science - Machine Learning, Condensed Matter - Materials Science, Physics - Chemical Physics

Access URL: http://arxiv.org/abs/2411.15221

Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks

Authors: Chen, Zizhang, Hong, Pengyu, Madireddy, Sandeep

Subject Terms: Computer Science - Computation and Language, Computer Science - Machine Learning, Quantitative Biology - Quantitative Methods

Access URL: http://arxiv.org/abs/2408.03732

AstroMLab 1: Who Wins Astronomy Jeopardy!?

Authors: Ting, Yuan-Sen, Nguyen, Tuan Dung, Ghosal, Tirthankar, Pan, Rui, Arora, Hardik, Sun, Zechang, de Haan, Tijmen, Ramachandra, Nesar, Wells, Azton, Madireddy, Sandeep, Accomazzi, Alberto

Subject Terms: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Solar and Stellar Astrophysics, Computer Science - Artificial Intelligence, Computer Science - Computation and Language

Access URL: http://arxiv.org/abs/2407.11194

Parametric Sensitivities of a Wind-driven Baroclinic Ocean Using Neural Surrogates

Authors: Sun, Yixuan, Cucuzzella, Elizabeth, Brus, Steven, Narayanan, Sri Hari Krishna, Nadiga, Balasubramanya, Van Roekel, Luke, Hückelheim, Jan, Madireddy, Sandeep, Heimbach, Patrick

Subject Terms: Physics - Atmospheric and Oceanic Physics

Access URL: http://arxiv.org/abs/2404.09950

REMEDI: Corrective Transformations for Improved Neural Entropy Estimation

Authors: Nilsson, Viktor, Samaddar, Anirban, Madireddy, Sandeep, Nyquist, Pierre

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning, 94A17 (Primary) 68T01, 94A08 (Secondary)

Access URL: http://arxiv.org/abs/2402.05718

Memristor-Spikelearn: A Spiking Neural Network Simulator for Studying Synaptic Plasticity under Realistic Device and Circuit Behaviors

Authors: Liu, Yuming, Yanguas-Gil, Angel, Madireddy, Sandeep, Li, Yanjing

Source: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE) Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023. :1-6 Apr, 2023

Relation: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)

AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures

Authors: Yanguas-Gil, Angel, Madireddy, Sandeep

Source: 2022 IEEE International Conference on Rebooting Computing (ICRC) ICRC Rebooting Computing (ICRC), 2022 IEEE International Conference on. :24-29 Dec, 2022

Relation: 2022 IEEE International Conference on Rebooting Computing (ICRC)

A Taxonomy of Error Sources in HPC I/O Machine Learning Models

Authors: Isakov, Mihailo, Currier, Mikaela, del Rosario, Eliakin, Madireddy, Sandeep, Balaprakash, Prasanna, Carns, Philip, Ross, Robert B., Lockwood, Glenn K., Kinsy, Michel A.

Source: SC22: International Conference for High Performance Computing, Networking, Storage and Analysis SC High Performance Computing, Networking, Storage and Analysis, SC22: International Conference for. :01-14 Nov, 2022

Relation: SC22: International Conference for High Performance Computing, Networking, Storage and Analysis

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting

Authors: Nguyen, Tung, Shah, Rohan, Bansal, Hritik, Arcomano, Troy, Maulik, Romit, Kotamarthi, Veerabhadra, Foster, Ian, Madireddy, Sandeep, Grover, Aditya

Subject Terms: Physics - Atmospheric and Oceanic Physics, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2312.03876

Surrogate Neural Networks to Estimate Parametric Sensitivity of Ocean Models

Authors: Sun, Yixuan, Cucuzzella, Elizabeth, Brus, Steven, Narayanan, Sri Hari Krishna, Nadiga, Balu, Van Roekel, Luke, Hückelheim, Jan, Madireddy, Sandeep

Subject Terms: Physics - Atmospheric and Oceanic Physics, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2311.08421

HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization

Authors: Dorier, Matthieu, Egele, Romain, Balaprakash, Prasanna, Koo, Jaehoon, Madireddy, Sandeep, Ramesh, Srinivasan, Malony, Allen D., Ross, Rob

Source: 2022 IEEE International Conference on Cluster Computing (CLUSTER) CLUSTER Cluster Computing (CLUSTER), 2022 IEEE International Conference on. :381-393 Sep, 2022

Relation: 2022 IEEE International Conference on Cluster Computing (CLUSTER)

Towards Continually Learning Application Performance Models

Authors: Sinurat, Ray A. O., Daram, Anurag, Gunawi, Haryadi S., Ross, Robert B., Madireddy, Sandeep

Subject Terms: Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing

Access URL: http://arxiv.org/abs/2310.16996

Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures

Authors: Madireddy, Sandeep, Yanguas-Gil, Angel, Balaprakash, Prasanna

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing

Access URL: http://arxiv.org/abs/2308.04539

AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures

Authors: Yanguas-Gil, Angel, Madireddy, Sandeep

Subject Terms: Computer Science - Neural and Evolutionary Computing, Computer Science - Hardware Architecture, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2302.13210

Neuromorphic architectures for edge computing under extreme environments

Authors: Yanguas-Gil, Angel, Koo, Jaehoon, Madireddy, Sandeep, Balaprakash, Prasanna, Elam, Jeffrey W., Mane, Anil U.

Source: 2021 IEEE Space Computing Conference (SCC) SCC Space Computing Conference (SCC), 2021 IEEE. :39-45 Aug, 2021

Relation: 2021 IEEE Space Computing Conference (SCC)

A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems

Authors: Baker, Megan M., New, Alexander, Aguilar-Simon, Mario, Al-Halah, Ziad, Arnold, Sébastien M. R., Ben-Iwhiwhu, Ese, Brna, Andrew P., Brooks, Ethan, Brown, Ryan C., Daniels, Zachary, Daram, Anurag, Delattre, Fabien, Dellana, Ryan, Eaton, Eric, Fu, Haotian, Grauman, Kristen, Hostetler, Jesse, Iqbal, Shariq, Kent, Cassandra, Ketz, Nicholas, Kolouri, Soheil, Konidaris, George, Kudithipudi, Dhireesha, Learned-Miller, Erik, Lee, Seungwon, Littman, Michael L., Madireddy, Sandeep, Mendez, Jorge A., Nguyen, Eric Q., Piatko, Christine D., Pilly, Praveen K., Raghavan, Aswin, Rahman, Abrar, Ramakrishnan, Santhosh Kumar, Ratzlaff, Neale, Soltoggio, Andrea, Stone, Peter, Sur, Indranil, Tang, Zhipeng, Tiwari, Saket, Vedder, Kyle, Wang, Felix, Xu, Zifan, Yanguas-Gil, Angel, Yedidsion, Harel, Yu, Shangqun, Vallabha, Gautam K.

Subject Terms: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Robotics

Access URL: http://arxiv.org/abs/2301.07799

General policy mapping: online continual reinforcement learning inspired on the insect brain

Authors: Yanguas-Gil, Angel, Madireddy, Sandeep

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2211.16759

Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection

Authors: Ćiprijanović, Aleksandra, Lewis, Ashia, Pedro, Kevin, Madireddy, Sandeep, Nord, Brian, Perdue, Gabriel N., Wild, Stefan M.

Subject Terms: Astrophysics - Astrophysics of Galaxies, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2211.00677