All paper pages
28734 retained paper pages. Page 218 of 288.
- A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness
Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang · 2024
- Age Normalized Testosterone Peaks at Series B for Male Startup Founders
Jordan Moradian, Michael Dubrovsky, Megha Sama, Pavel Korecky, Sidarth Kulkarni, Yaniv Goder, Diedrik Vermeulen · 2024
- Detection of Thermal Emission at Millimeter Wavelengths from Low-Earth Orbit Satellites
A. Foster, A. Chokshi, A. J. Anderson, B. Ansarinejad, M. Archipley, L. Balkenhol, K. Benabed, A. N. Bender, D. R. Barron, B. A. Benson, F. Bianchini, L. E. Bleem, F. R. Bouchet, L. Bryant, E. Camphuis, J. E. Carlstrom, C. L. Chang, P. Chaubal, P. M. Chichura, T. -L. Chou, A. Coerver, T. M. Crawford, C. Daley, T. de Haan, K. R. Dibert, M. A. Dobbs, A. Doussot, D. Dutcher, W. Everett, C. Feng, K. R. Ferguson, K. Fichman, S. Galli, A. E. Gambrel, R. W. Gardner, F. Ge, N. Goeckner-Wald, R. Gualtieri, F. Guidi, S. Guns, N. W. Halverson, E. Hivon, G. P. Holder, W. L. Holzapfel, J. C. Hood, A. Hryciuk, N. Huang, F. Kéruzoré, A. R. Khalife, L. Knox, M. Korman, K. Kornoelje, C. -L. Kuo, K. Levy, A. E. Lowitz, C. Lu, A. Maniyar, E. S. Martsen, F. Menanteau, M. Millea, J. Montgomery, Y. Nakato, T. Natoli, G. I. Noble, Y. Omori, Z. Pan, P. Paschos, K. A. Phadke, A. W. Pollak, K. Prabhu, W. Quan, M. Rahimi, A. Rahlin, C. L. Reichardt, M. Rouble, J. E. Ruhl, E. Schiappucci, J. A. Sobrin, A. A. Stark, J. Stephen, C. Tandoi, B. Thorne, C. Trendafilova, C. Umilta, J. D. Vieira, A. Vitrier, Y. Wan, N. Whitehorn, W. L. K. Wu, M. R. Young, J. A. Zebrowski · 2024
- CrowdGenUI: Aligning LLM-Based UI Generation with Crowdsourced User Preferences
Yimeng Liu, Misha Sra, Chang Xiao · 2024
- LASER: Attention with Exponential Transformation
Sai Surya Duvvuri, Inderjit S. Dhillon · 2024
- Kolb-Based Experiential Learning for Generalist Agents with Human-Level Kaggle Data Science Performance
Antoine Grosnit, Alexandre Maraval, Refinath S N, Zichao Zhao, James Doran, Giuseppe Paolo, Albert Thomas, Jonas Gonzalez, Abhineet Kumar, Khyati Khandelwal, Abdelhakim Benechehab, Hamza Cherkaoui, Youssef Attia El-Hili, Kun Shao, Jianye Hao, Jun Yao, Balázs Kégl, Haitham Bou-Ammar, Jun Wang · 2024
- Real-Time Safe Bipedal Robot Navigation using Linear Discrete Control Barrier Functions
Chengyang Peng, Victor Paredes, Guillermo A. Castillo, Ayonga Hereid · 2024
- Magic sizes enable minimal-complexity, high-fidelity assembly of programmable shells
Botond Tyukodi, Fernando Caballero, Daichi Hayakawa, Douglas M. Hall, W. Benjamin Rogers, Gregory M. Grason, Michael F. Hagan · 2024
- Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Aaditya K. Singh, Muhammed Yusuf Kocyigit, Andrew Poulton, David Esiobu, Maria Lomeli, Gergely Szilvasy, Dieuwke Hupkes · 2024
- Where postdoctoral journeys lead
Yueran Duan, Shahan Ali Memon, Bedoor AlShebli, Qing Guan, Petter Holme, Talal Rahwan · 2024
- AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset
Dante Everaert, Rohit Patki, Tianqi Zheng, Christopher Potts · 2024
- Crystal: Illuminating LLM Abilities on Language and Code
Tianhua Tao, Junbo Li, Bowen Tan, Hongyi Wang, William Marshall, Bhargav M Kanakiya, Joel Hestness, Natalia Vassilieva, Zhiqiang Shen, Eric P. Xing, Zhengzhong Liu · 2024
- J1721+8842: The first Einstein zig-zag lens
F. Dux, M. Millon, C. Lemon, T. Schmidt, F. Courbin, A. J. Shajib, T. Treu, S. Birrer, K. C. Wong, A. Agnello, A. Andrade, A. A. Galan, J. Hjorth, E. Paic, S. Schuldt, A. Schweinfurth, D. Sluse, A. Smette, S. H. Suyu · 2024
- WiFlexFormer: Efficient WiFi-Based Person-Centric Sensing
Julian Strohmayer, Matthias Wödlinger, Martin Kampel · 2024
- Towards Optimizing SQL Generation via LLM Routing
Mohammadhossein Malekpour, Nour Shaheen, Foutse Khomh, Amine Mhedhbi · 2024
- Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learning
Carlos Huertas · 2024
- Scaling Laws for Precision
Tanishq Kumar, Zachary Ankner, Benjamin F. Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Ré, Aditi Raghunathan · 2024
- GazeGen: Gaze-Driven User Interaction for Visual Content Generation
He-Yen Hsieh, Ziyun Li, Sai Qian Zhang, Wei-Te Mark Ting, Kao-Den Chang, Barbara De Salvo, Chiao Liu, H. T. Kung · 2024
- The Pragmatic Frames of Spurious Correlations in Machine Learning: Interpreting How and Why They Matter
Samuel J. Bell, Skyler Wang · 2024
- Convolutional Differentiable Logic Gate Networks
Felix Petersen, Hilde Kuehne, Christian Borgelt, Julian Welzel, Stefano Ermon · 2024
- FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI
Elliot Glazer, Ege Erdil, Tamay Besiroglu, Diego Chicharro, Evan Chen, Alex Gunning, Caroline Falkman Olsson, Jean-Stanislas Denain, Anson Ho, Emily de Oliveira Santos, Olli Järviniemi, Matthew Barnett, Robert Sandler, Matej Vrzala, Jaime Sevilla, Qiuyu Ren, Elizabeth Pratt, Lionel Levine, Grant Barkley, Natalie Stewart, Bogdan Grechuk, Tetiana Grechuk, Shreepranav Varma Enugandla, Mark Wildon · 2024
- OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Siming Huang, Tianhao Cheng, J. K. Liu, Jiaran Hao, Liuyihan Song, Yang Xu, J. Yang, Jiaheng Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Zhaoxiang Zhang, Jie Fu, Qian Liu, Ge Zhang, Zili Wang, Yuan Qi, Yinghui Xu, Wei Chu · 2024
- BitNet a4.8: 4-bit Activations for 1-bit LLMs
Hongyu Wang, Shuming Ma, Furu Wei · 2024
- Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
Weixin Liang, Lili Yu, Liang Luo, Srinivasan Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin · 2024
- SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han · 2024
- A Primer on Dark Matter
Csaba Balazs, Torsten Bringmann, Felix Kahlhoefer, Martin White · 2024
- ZipNN: Lossless Compression for AI Models
Moshik Hershcovitch, Andrew Wood, Leshem Choshen, Guy Girmonsky, Roy Leibovitz, Ilias Ennmouri, Michal Malka, Peter Chin, Swaminathan Sundararaman, Danny Harnik · 2024
- AgentOps: Enabling Observability of LLM Agents
Liming Dong, Qinghua Lu, Liming Zhu · 2024
- Reasoning Robustness of LLMs to Adversarial Typographical Errors
Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh · 2024
- Benchmarking Distributional Alignment of Large Language Models
Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto · 2024
- Cell Balancing Paradigms: Advanced Types, Algorithms, and Optimization Frameworks
Anupama R Itagi, Rakhee Kallimani, Krishna Pai, Sridhar Iyer, Onel L. A. López, Sushant Mutagekar · 2024
- LLMs as Method Actors: A Model for Prompt Engineering and Architecture
Colin Doyle · 2024
- AI Multi-Agent Interoperability Extension for Managing Multiparty Conversations
Diego Gosmar, Deborah A. Dahl, Emmett Coin, David Attwater · 2024
- Sufficient Context: A New Lens on Retrieval Augmented Generation Systems
Hailey Joren, Jianyi Zhang, Chun-Sung Ferng, Da-Cheng Juan, Ankur Taly, Cyrus Rashtchian · 2024
- The labour and resource use requirements of a good life for all
Chris McElroy, Daniel W. O'Neill · 2024
- UniGAD: Unifying Multi-level Graph Anomaly Detection
Yiqing Lin, Jianheng Tang, Chenyi Zi, H. Vicky Zhao, Yuan Yao, Jia Li · 2024
- Barriers to Complexity-Theoretic Proofs that "AGI" Using Machine Learning is Impossible
Michael Guerzhoy · 2024
- Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents
Yu Gu, Kai Zhang, Yuting Ning, Boyuan Zheng, Boyu Gou, Tianci Xue, Cheng Chang, Sanjari Srivastava, Yanan Xie, Peng Qi, Huan Sun, Yu Su · 2024
- Explore the Reasoning Capability of LLMs in the Chess Testbed
Shu Wang, Lei Ji, Renxi Wang, Wenxiao Zhao, Haokun Liu, Yifan Hou, Ying Nian Wu · 2024
- The Unreasonable Effectiveness of Monte Carlo Simulations in A/B Testing
Márton Trencséni · 2024
- Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications
Sander Noels, Alexander Rogiers, Maarten Buyl, Tijl De Bie · 2024
- The Impact of the General Data Protection Regulation (GDPR) on Online Tracking
Klaus M. Miller, Karlo Lukic, Bernd Skiera · 2024
- ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation
Xue Jiang, Yihong Dong, Yongding Tao, Huanyu Liu, Zhi Jin, Wenpin Jiao, Ge Li · 2024
- The Super Weight in Large Language Models
Mengxia Yu, De Wang, Qi Shan, Colorado J Reed, Alvin Wan · 2024
- Exo 2: Growing a Scheduling Language
Yuka Ikarashi, Kevin Qian, Samir Droubi, Alex Reinking, Gilbert Bernstein, Jonathan Ragan-Kelley · 2024
- Watermark Anything with Localized Messages
Tom Sander, Pierre Fernandez, Alain Durmus, Teddy Furon, Matthijs Douze · 2024
- The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
Ekin Akyürek, Mehul Damani, Adam Zweiger, Linlu Qiu, Han Guo, Jyothish Pari, Yoon Kim, Jacob Andreas · 2024
- Developers Are Victims Too : A Comprehensive Analysis of The VS Code Extension Ecosystem
Shehan Edirimannage, Charitha Elvitigala, Asitha Kottahachchi Kankanamge Don, Wathsara Daluwatta, Primal Wijesekara, Ibrahim Khalil · 2024
- LAuReL: Learned Augmented Residual Layer
Gaurav Menghani, Ravi Kumar, Sanjiv Kumar · 2024
- Top-$nσ$: Not All Logits Are You Need
Chenxia Tang, Jianchun Liu, Hongli Xu, Liusheng Huang · 2024
- Unlocking Legal Knowledge with Multi-Layered Embedding-Based Retrieval
João Alberto de Oliveira Lima · 2024
- RedCode: Risky Code Execution and Generation Benchmark for Code Agents
Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li · 2024
- Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus
Benjamin Litterer, David Jurgens, Dallas Card · 2024
- MatPilot: an LLM-enabled AI Materials Scientist under the Framework of Human-Machine Collaboration
Ziqi Ni, Yahao Li, Kaijia Hu, Kunyuan Han, Ming Xu, Xingyu Chen, Fengqi Liu, Yicong Ye, Shuxin Bai · 2024
- Large Language Models Can Self-Improve in Long-context Reasoning
Siheng Li, Cheng Yang, Zesen Cheng, Lemao Liu, Mo Yu, Yujiu Yang, Wai Lam · 2024
- FaaS and Furious: abstractions and differential caching for efficient data pre-processing
Jacopo Tagliabue, Ryan Curtin, Ciro Greco · 2024
- GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees
Sichao Xiong, Yigit Ihlamur, Fuat Alican, Aaron Ontoyin Yin · 2024
- Searching Latent Program Spaces
Matthew V Macfarlane, Clement Bonnet · 2024
- LLM-Based World Models Can Make Decisions Solely, But Rigorous Evaluations are Needed
Chang Yang, Xinrun Wang, Junzhe Jiang, Qinggang Zhang, Xiao Huang · 2024
- How NOT to Fool the Masses When Giving Performance Results for Quantum Computers
Catherine McGeoch · 2024
- A Decidable Case of Query Determinacy: Project-Select Views
Wen Zhang, Aurojit Panda, Mooly Sagiv, Scott Shenker · 2024
- Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions
Moran Yanuka, Assaf Ben Kish, Yonatan Bitton, Idan Szpektor, Raja Giryes · 2024
- Artificial Intelligence for Quantum Computing
Yuri Alexeev, Marwa H. Farag, Taylor L. Patti, Mark E. Wolf, Natalia Ares, Alán Aspuru-Guzik, Simon C. Benjamin, Zhenyu Cai, Shuxiang Cao, Christopher Chamberland, Zohim Chandani, Federico Fedele, Ikko Hamamura, Nicholas Harrigan, Jin-Sung Kim, Elica Kyoseva, Justin G. Lietz, Tom Lubowe, Alexander McCaskey, Roger G. Melko, Kouhei Nakaji, Alberto Peruzzo, Pooja Rao, Bruno Schmitt, Sam Stanwyck, Norm M. Tubman, Hanrui Wang, Timothy Costa · 2024
- Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work
Aviv Ovadya, Kyle Redman, Luke Thorburn, Quan Ze Chen, Oliver Smith, Flynn Devine, Andrew Konya, Smitha Milli, Manon Revel, K. J. Kevin Feng, Amy X. Zhang, Bilva Chandra, Michiel A. Bakker, Atoosa Kasirzadeh · 2024
- Injection Attacks Against End-to-End Encrypted Applications
Andrés Fábrega, Carolina Ortega Pérez, Armin Namavari, Ben Nassi, Rachit Agarwal, Thomas Ristenpart · 2024
- BlueME: Robust Underwater Robot-to-Robot Communication Using Compact Magnetoelectric Antennas
Mehron Talebi, Sultan Mahmud, Adam Khalifa, Md Jahidul Islam · 2024
- The Denotational Semantics of SSA
Jad Elkhaleq Ghalayini, Neel Krishnaswami · 2024
- LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models
Zhengyi Wang, Jonathan Lorraine, Yikai Wang, Hang Su, Jun Zhu, Sanja Fidler, Xiaohui Zeng · 2024
- Task-Aligned Tool Recommendation for Large Language Models
Hang Gao, Yongfeng Zhang · 2024
- Modeling AdaGrad, RMSProp, and Adam with Integro-Differential Equations
Carlos Heredia · 2024
- Environmental Burden of United States Data Centers in the Artificial Intelligence Era
Gianluca Guidi, Francesca Dominici, Jonathan Gilmour, Kevin Butler, Eric Bell, Scott Delaney, Falco J. Bargagli-Stoffi · 2024
- SlimLM: An Efficient Small Language Model for On-Device Document Assistance
Thang M. Pham, Phat T. Nguyen, Seunghyun Yoon, Viet Dac Lai, Franck Dernoncourt, Trung Bui · 2024
- That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Design
Anna Goldie, Azalia Mirhoseini, Jeff Dean · 2024
- LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
Joon Sung Park, Carolyn Q. Zou, Jonne Kamphorst, Niles Egan, Aaron Shaw, Benjamin Mako Hill, Carrie Cai, Meredith Ringel Morris, Percy Liang, Robb Willer, Michael S. Bernstein · 2024
- Reachability Analysis of the Domain Name System
Dhruv Nevatia, Si Liu, David Basin · 2024
- Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
Michael Aerni, Javier Rando, Edoardo Debenedetti, Nicholas Carlini, Daphne Ippolito, Florian Tramèr · 2024
- The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use
Siyuan Hu, Mingyu Ouyang, Difei Gao, Mike Zheng Shou · 2024
- How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits
Masoud Mohseni, Artur Scherer, K. Grace Johnson, Oded Wertheim, Matthew Otten, Namit Anand, Navid Anjum Aadit, Yuri Alexeev, Gilad Ben-Shach, Kirk M. Bresniker, Kerem Y. Camsari, Barbara Chapman, Soumitra Chatterjee, Shuvro Chowdhury, Gebremedhin A. Dagnew, Tom Dvir, Aniello Esposito, Farah Fahim, Michael Ferguson, Marco Fiorentino, Archit Gajjar, Katerina Gratsea, Gaurav Gyawali, Christian Heiter, Ali H. Z. Kavaki, Abdullah Khalid, Xiangzhou Kong, Bohdan Kulchytskyy, Elica Kyoseva, Ruoyu Li, P. Aaron Lott, Igor L. Markov, Robert F. McDermott, Lucas Morais, Giacomo Pedretti, Pooja Rao, Eleanor Rieffel, Allyson Silva, John Sorebo, Panagiotis Spentzouris, Ziv Steiner, Boyan Torosov, Davide Venturelli, Robert J. Visser, Zak Webb, Xin Zhan, Yonatan Cohen, Pooya Ronagh, Alan Ho, Raymond G. Beausoleil, John M. Martinis · 2024
- LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
Guowei Xu, Peng Jin, Ziang Wu, Hao Li, Yibing Song, Lichao Sun, Li Yuan · 2024
- Evolutionary Multi-agent Reinforcement Learning in Group Social Dilemmas
Brian Mintz, Feng Fu · 2024
- IUMENTA: A generic framework for animal digital twins within the Open Digital Twin Platform
Ali Youssef, Kristina Vodorezova, Yannick Aarts, Wisdom E. K. Agbeti, Arjan P. Palstra, Edwin Foekema, Leonel Aguilar, Ricardo da Silva Torres, Jascha Grübel · 2024
- Does Prompt Formatting Have Any Impact on LLM Performance?
Jia He, Mukund Rungta, David Koleczek, Arshdeep Sekhon, Franklin X Wang, Sadid Hasan · 2024
- Partial Evaluation, Whole-Program Compilation
Chris Fallin, Maxwell Bernstein · 2024
- Spineless Traversal for Layout Invalidation
Marisa Kirisame, Tiezhi Wang, Pavel Panchekha · 2024
- I'm Spartacus, No, I'm Spartacus: Measuring and Understanding LLM Identity Confusion
Kun Li, Shichao Zhuang, Yue Zhang, Minghui Xu, Ruoxi Wang, Kaidi Xu, Xinwen Fu, Xiuzhen Cheng · 2024
- A Study of Malware Prevention in Linux Distributions
Duc-Ly Vu, Trevor Dunlap, Karla Obermeier-Velazquez, Thanh-Cong Nguyen, Paul Gibert, John Speed Meyers, Santiago Torres-Arias · 2024
- Careless Whisper: Exploiting Silent Delivery Receipts to Monitor Users on Mobile Instant Messengers
Gabriel K. Gegenhuber, Maximilian Günther, Markus Maier, Aljosha Judmayer, Florian Holzbauer, Philipp É. Frenzel, Johanna Ullrich · 2024
- Deegen: A JIT-Capable VM Generator for Dynamic Languages
Haoran Xu, Fredrik Kjolstad · 2024
- Large cardinals, structural reflection, and the HOD Conjecture
Juan P. Aguilera, Joan Bagaria, Philipp Lücke · 2024
- OASIS: Open Agent Social Interaction Simulations with One Million Agents
Ziyi Yang, Zaibin Zhang, Zirui Zheng, Yuxian Jiang, Ziyue Gan, Zhiyu Wang, Zijian Ling, Jinsong Chen, Martz Ma, Bowen Dong, Prateek Gupta, Shuyue Hu, Zhenfei Yin, Guohao Li, Xu Jia, Lijun Wang, Bernard Ghanem, Huchuan Lu, Chaochao Lu, Wanli Ouyang, Yu Qiao, Philip Torr, Jing Shao · 2024
- Can Highlighting Help GitHub Maintainers Track Security Fixes?
Xueqing Liu, Yuchen Xiong, Qiushi Liu, Jiangrui Zheng · 2024
- Enhancing LLM Reasoning with Reward-guided Tree Search
Jinhao Jiang, Zhipeng Chen, Yingqian Min, Jie Chen, Xiaoxue Cheng, Jiapeng Wang, Yiru Tang, Haoxiang Sun, Jia Deng, Wayne Xin Zhao, Zheng Liu, Dong Yan, Jian Xie, Zhongyuan Wang, Ji-Rong Wen · 2024
- Drowning in Documents: Consequences of Scaling Reranker Inference
Mathew Jacob, Erik Lindgren, Matei Zaharia, Michael Carbin, Omar Khattab, Andrew Drozdov · 2024
- An Internet Voting System Fatally Flawed in Creative New Ways
Andrew W. Appel, Philip B. Stark · 2024
- LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference
Yanyue Xie, Zhengang Li, Dana Diaconu, Suranga Handagala, Miriam Leeser, Xue Lin · 2024
- Deploying Large Language Models With Retrieval Augmented Generation
Sonal Prabhune, Donald J. Berndt · 2024
- AIGS: Generating Science from AI-Powered Automated Falsification
Zijun Liu, Kaiming Liu, Yiqi Zhu, Xuanyu Lei, Zonghan Yang, Zhenhe Zhang, Peng Li, Yang Liu · 2024
- SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
Cheng-Yen Yang, Hsiang-Wei Huang, Wenhao Chai, Zhongyu Jiang, Jenq-Neng Hwang · 2024
- Medical Video Generation for Disease Progression Simulation
Xu Cao, Kaizhao Liang, Kuei-Da Liao, Tianren Gao, Wenqian Ye, Jintai Chen, Zhiguang Ding, Jianguo Cao, James M. Rehg, Jimeng Sun · 2024
- Modified Gravity Constraints from the Full Shape Modeling of Clustering Measurements from DESI 2024
M. Ishak, J. Pan, R. Calderon, K. Lodha, G. Valogiannis, A. Aviles, G. Niz, L. Yi, C. Zheng, C. Garcia-Quintero, A. de Mattia, L. Medina-Varela, J. L. Cervantes-Cota, U. Andrade, D. Huterer, H. E. Noriega, G. Zhao, A. Shafieloo, W. Fang, S. Ahlen, D. Bianchi, D. Brooks, E. Burtin, E. Chaussidon, T. Claybaugh, S. Cole, A. de la Macorra, Arjun Dey, K. Fanning, S. Ferraro, A. Font-Ribera, J. E. Forero-Romero, E. Gaztañaga, H. Gil-Marín, S. Gontcho A Gontcho, G. Gutierrez, C. Hahn, K. Honscheid, C. Howlett, S. Juneau, D. Kirkby, T. Kisner, A. Kremin, M. Landriau, L. Le Guillou, A. Leauthaud, M. E. Levi, A. Meisner, R. Miquel, J. Moustakas, J. A. Newman, N. Palanque-Delabrouille, W. J. Percival, C. Poppett, F. Prada, I. Pérez-Ràfols, A. J. Ross, G. Rossi, E. Sanchez, D. Schlegel, M. Schubnell, H. Seo, D. Sprayberry, G. Tarlé, M. Vargas-Magana, B. A. Weaver, R. H. Wechsler, C. Yèche, P. Zarrouk, R. Zhou, H. Zou · 2024