A Multibaseline Stereo System with Active Illumination and Real-Time Image Acquisition. - Sing Bing Kang; Jon A. Webb; C. Lawrence Zitnick; Takeo Kanade (ICCV, 1995)

Gaze Awareness for Video-Conferencing: A Software Approach. - Jim Gemmell; Kentaro Toyama; C. Lawrence Zitnick; Thomas Kang; Steven M. Seitz (IEEE Multim., 2000)

A Cooperative Algorithm for Stereo Matching and Occlusion Detection. - C. Lawrence Zitnick; Takeo Kanade (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Massive arabesque. - C. Lawrence Zitnick (SIGGRAPH Computer Animation Festival, 2004)

Maximum Entropy for Collaborative Filtering. - C. Lawrence Zitnick; Takeo Kanade (UAI, 2004)

High-quality video view interpolation using a layered representation. - C. Lawrence Zitnick; Sing Bing Kang; Matthew Uyttendaele; Simon A. J. Winder; Richard Szeliski (ACM Trans. Graph., 2004)

Consistent Segmentation for Optical Flow Estimation. - C. Lawrence Zitnick; Nebojsa Jojic; Sing Bing Kang (ICCV, 2005)

Stylizing 2.5-D video. - Noah Snavely; Larry Zitnick; Sing Bing Kang; Michael F. Cohen (SIGGRAPH Sketches, 2005)

Finding People in Repeated Shots of the Same Scene. - Josef Sivic; C. Lawrence Zitnick; Richard Szeliski (BMVC, 2006)

Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video. - Nebojsa Jojic; John M. Winn; C. Lawrence Zitnick (CVPR (1), 2006)

Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures. - Vaibhav Vaish; Marc Levoy; Richard Szeliski; C. Lawrence Zitnick; Sing Bing Kang (CVPR (2), 2006)

Video and Image Bayesian Demosaicing with a Two Color Image Prior. - Eric P. Bennett; Matthew Uyttendaele; C. Lawrence Zitnick; Richard Szeliski; Sing Bing Kang (ECCV (1), 2006)

High-quality video view interpolation. - Larry Zitnick (SIGGRAPH Courses, 2006)

Outlook & discussion. - Larry Zitnick (SIGGRAPH Courses, 2006)

Using Photographs to Enhance Videos of a Static Scene. - Pravin Bhat; C. Lawrence Zitnick; Noah Snavely; Aseem Agarwala; Maneesh Agrawala; Michael F. Cohen; Brian Curless; Sing Bing Kang (Rendering Techniques, 2007)

Stereo for Image-Based Rendering using Image Over-Segmentation. - C. Lawrence Zitnick; Sing Bing Kang (Int. J. Comput. Vis., 2007)

From appearance to context-based recognition: Dense labeling in small images. - Devi Parikh; C. Lawrence Zitnick; Tsuhan Chen (CVPR, 2008)

Internet video category recognition. - Grant Schindler; Larry Zitnick; Matthew A. Brown (CVPR Workshops, 2008)

Stereo reconstruction with mixed pixels using adaptive over-segmentation. - Yuichi Taguchi; Bennett Wilburn; C. Lawrence Zitnick (CVPR, 2008)

Fourier Analysis of the 2D Screened Poisson Equation for Gradient Domain Problems. - Pravin Bhat; Brian Curless; Michael F. Cohen; C. Lawrence Zitnick (ECCV (2), 2008)

Determining Patch Saliency Using Low-Level Context. - Devi Parikh; C. Lawrence Zitnick; Tsuhan Chen (ECCV (2), 2008)

Automatic Estimation and Removal of Noise from a Single Image. - Ce Liu 001; Richard Szeliski; Sing Bing Kang; C. Lawrence Zitnick; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Clustering Videos by Location. - Florian Schroff; C. Lawrence Zitnick; Simon Baker (BMVC, 2009)

Image deblurring and denoising using color priors. - Neel Joshi; C. Lawrence Zitnick; Richard Szeliski; David J. Kriegman (CVPR, 2009)

Unsupervised learning of hierarchical spatial structures in images. - Devi Parikh; C. Lawrence Zitnick; Tsuhan Chen (CVPR, 2009)

A content-aware image prior. - Taeg Sang Cho; Neel Joshi; C. Lawrence Zitnick; Sing Bing Kang; Richard Szeliski; William T. Freeman (CVPR, 2010)

The role of features, algorithms and data in visual recognition. - Devi Parikh; C. Lawrence Zitnick (CVPR, 2010)

Single Image Deblurring Using Motion Density Functions. - Ankit Gupta 002; Neel Joshi; C. Lawrence Zitnick; Michael F. Cohen; Brian Curless (ECCV (1), 2010)

Binary Coherent Edge Descriptors. - C. Lawrence Zitnick (ECCV (2), 2010)

GradientShop: A gradient-domain optimization framework for image and video filtering. - Pravin Bhat; C. Lawrence Zitnick; Michael F. Cohen; Brian Curless (ACM Trans. Graph., 2010)

Image deblurring using inertial measurement sensors. - Neel Joshi; Sing Bing Kang; C. Lawrence Zitnick; Richard Szeliski (ACM Trans. Graph., 2010)

Finding the weakest link in person detectors. - Devi Parikh; C. Lawrence Zitnick (CVPR, 2011)

Edge foci interest points. - C. Lawrence Zitnick; Krishnan Ramnath (ICCV, 2011)

A Viewer-Centric Editor for 3D Movies. - Sanjeev J. Koppal; C. Lawrence Zitnick; Michael F. Cohen; Sing Bing Kang; Bryan Ressler; Alex Colburn (IEEE Computer Graphics and Applications, 2011)

ShadowDraw: real-time user guidance for freehand drawing. - Yong Jae Lee; C. Lawrence Zitnick; Michael F. Cohen (ACM Trans. Graph., 2011)

Seeing through the blur. - Hossein Mobahi; C. Lawrence Zitnick; Yi Ma 001 (CVPR, 2012)

The role of image understanding in contour detection. - C. Lawrence Zitnick; Devi Parikh (CVPR, 2012)

A Memory Efficient Discriminative Approach for Location Aided Recognition. - Varsha Hedau; Sudipta N. Sinha; C. Lawrence Zitnick; Richard Szeliski (ECCV Workshops (1), 2012)

Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation. - Yuandong Tian; C. Lawrence Zitnick; Srinivasa G. Narasimhan (ECCV (5), 2012)

Image Restoration by Matching Gradient Distributions. - Taeg Sang Cho; Charles Lawrence Zitnick; Neel Joshi; Sing Bing Kang; Richard Szeliski; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Exploring Tiny Images: The Roles of Appearance and Contextual Information for Machine and Human Object Recognition. - Devi Parikh; C. Lawrence Zitnick; Tsuhan Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection. - Joseph J. Lim; C. Lawrence Zitnick; Piotr Dollár (CVPR, 2013)

Exploring Weak Stabilization for Motion Feature Extraction. - Dennis Park; C. Lawrence Zitnick; Deva Ramanan; Piotr Dollár (CVPR, 2013)

Bringing Semantics into Focus Using Visual Abstraction. - C. Lawrence Zitnick; Devi Parikh (CVPR, 2013)

Structured Forests for Fast Edge Detection. - Piotr Dollár; C. Lawrence Zitnick (ICCV, 2013)

Learning the Visual Interpretation of Sentences. - C. Lawrence Zitnick; Devi Parikh; Lucy Vanderwende (ICCV, 2013)

Which Edges Matter? - Aayush Bansal; Adarsh Kowdle; Devi Parikh; Andrew C. Gallagher; Larry Zitnick (ICCV Workshops, 2013)

Handwriting beautification using token means. - C. Lawrence Zitnick (ACM Trans. Graph., 2013)

Predicting Object Dynamics in Scenes. - David F. Fouhey; C. Lawrence Zitnick (CVPR, 2014)

Detecting Objects Using Deformation Dictionaries. - Bharath Hariharan; C. Lawrence Zitnick; Piotr Dollár (CVPR, 2014)

Zero-Shot Learning via Visual Abstraction. - Stanislaw Antol; C. Lawrence Zitnick; Devi Parikh (ECCV (4), 2014)

Microsoft COCO: Common Objects in Context. - Tsung-Yi Lin; Michael Maire; Serge J. Belongie; James Hays; Pietro Perona; Deva Ramanan; Piotr Dollár; C. Lawrence Zitnick (ECCV (5), 2014)

Edge Boxes: Locating Object Proposals from Edges. - C. Lawrence Zitnick; Piotr Dollár (ECCV (5), 2014)

Car make and model recognition using 3D curve alignment. - Edward Hsiao; Sudipta N. Sinha; Krishnan Ramnath; Simon Baker; C. Lawrence Zitnick; Richard Szeliski (WACV, 2014)

Learning a Recurrent Visual Representation for Image Caption Generation. - Xinlei Chen; C. Lawrence Zitnick (CoRR, 2014)

Microsoft COCO: Common Objects in Context. - Tsung-Yi Lin; Michael Maire; Serge J. Belongie; Lubomir D. Bourdev; Ross B. Girshick; James Hays; Pietro Perona; Deva Ramanan; Piotr Dollár; C. Lawrence Zitnick (CoRR, 2014)

Collecting Image Description Datasets using Crowdsourcing. - Ramakrishna Vedantam; C. Lawrence Zitnick; Devi Parikh (CoRR, 2014)

Mind's eye: A recurrent visual representation for image caption generation. - Xinlei Chen; C. Lawrence Zitnick (CVPR, 2015)

From captions to visual concepts and back. - Hao Fang 002; Saurabh Gupta 001; Forrest N. Iandola; Rupesh Kumar Srivastava; Li Deng 001; Piotr Dollár; Jianfeng Gao 001; Xiaodong He 001; Margaret Mitchell; John C. Platt; C. Lawrence Zitnick; Geoffrey Zweig (CVPR, 2015)

CIDEr: Consensus-based image description evaluation. - Ramakrishna Vedantam; C. Lawrence Zitnick; Devi Parikh (CVPR, 2015)

VQA: Visual Question Answering. - Stanislaw Antol; Aishwarya Agrawal; Jiasen Lu; Margaret Mitchell; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh (ICCV, 2015)

Learning Common Sense through Visual Abstraction. - Ramakrishna Vedantam; Xiao Lin; Tanmay Batra; C. Lawrence Zitnick; Devi Parikh (ICCV, 2015)

Visalogy: Answering Visual Analogy Questions. - Fereshteh Sadeghi; C. Lawrence Zitnick; Ali Farhadi (NIPS, 2015)

Microsoft COCO Captions: Data Collection and Evaluation Server. - Xinlei Chen; Hao Fang 002; Tsung-Yi Lin; Ramakrishna Vedantam; Saurabh Gupta 001; Piotr Dollár; C. Lawrence Zitnick (CoRR, 2015)

Exploring Nearest Neighbor Approaches for Image Captioning. - Jacob Devlin; Saurabh Gupta 001; Ross B. Girshick; Margaret Mitchell; C. Lawrence Zitnick (CoRR, 2015)

Learning Visual Classifiers using Human-centric Annotations. - Ishan Misra; C. Lawrence Zitnick; Margaret Mitchell; Ross B. Girshick (CoRR, 2015)

Fast Edge Detection Using Structured Forests. - Piotr Dollár; C. Lawrence Zitnick (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks. - Sean Bell; C. Lawrence Zitnick; Kavita Bala; Ross B. Girshick (CVPR, 2016)

We are Humor Beings: Understanding and Predicting Visual Humor. - Arjun Chandrasekaran; Ashwin K. Vijayakumar; Stanislaw Antol; Mohit Bansal; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh (CVPR, 2016)

Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels. - Ishan Misra; C. Lawrence Zitnick; Margaret Mitchell; Ross B. Girshick (CVPR, 2016)

Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification. - Ishan Misra; C. Lawrence Zitnick; Martial Hebert (ECCV (1), 2016)

Visual Storytelling. - Ting-Hao (Kenneth) Huang; Francis Ferraro; Nasrin Mostafazadeh; Ishan Misra; Aishwarya Agrawal; Jacob Devlin; Ross B. Girshick; Xiaodong He 001; Pushmeet Kohli; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh; et al. (HLT-NAACL, 2016)

Measuring Machine Intelligence Through Visual Question Answering. - C. Lawrence Zitnick; Aishwarya Agrawal; Stanislaw Antol; Margaret Mitchell; Dhruv Batra; Devi Parikh (AI Mag., 2016)

Reducing Overfitting in Deep Networks by Decorrelating Representations. - Michael Cogswell; Faruk Ahmed; Ross B. Girshick; Larry Zitnick; Dhruv Batra (ICLR (Poster), 2016)

Unsupervised Learning using Sequential Verification for Action Recognition. - Ishan Misra; C. Lawrence Zitnick; Martial Hebert (CoRR, 2016)

Generating Natural Questions About an Image. - Nasrin Mostafazadeh; Ishan Misra; Jacob Devlin; Larry Zitnick; Margaret Mitchell; Xiaodong He 001; Lucy Vanderwende (CoRR, 2016)

Adopting Abstract Images for Semantic Scene Understanding. - C. Lawrence Zitnick; Ramakrishna Vedantam; Devi Parikh (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

A Memory Efficient Discriminative Approach for Location-Aided Recognition. - Sudipta N. Sinha; Varsha Hedau; C. Lawrence Zitnick; Richard Szeliski (Large-Scale Visual Geo-Localization, 2016)

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. - Justin Johnson 001; Bharath Hariharan; Laurens van der Maaten; Li Fei-Fei 001; C. Lawrence Zitnick; Ross B. Girshick (CVPR, 2017)

Inferring and Executing Programs for Visual Reasoning. - Justin Johnson 001; Bharath Hariharan; Laurens van der Maaten; Judy Hoffman; Li Fei-Fei 001; C. Lawrence Zitnick; Ross B. Girshick (ICCV, 2017)

Learn2Smile: Learning non-verbal interaction through observation. - Will Feng; Anitha Kannan; Georgia Gkioxari; C. Lawrence Zitnick (IROS, 2017)

ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games. - Yuandong Tian; Qucheng Gong; Wenling Shang; Yuxin Wu; C. Lawrence Zitnick (NIPS, 2017)

Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? - Abhishek Das; Harsh Agrawal; Larry Zitnick; Devi Parikh; Dhruv Batra (Comput. Vis. Image Underst., 2017)

VQA: Visual Question Answering - www.visualqa.org. - Aishwarya Agrawal; Jiasen Lu; Stanislaw Antol; Margaret Mitchell; C. Lawrence Zitnick; Devi Parikh; Dhruv Batra (Int. J. Comput. Vis., 2017)

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. - Jure Zbontar; Florian Knoll; Anuroop Sriram; Matthew J. Muckley; Mary Bruno; Aaron Defazio; Marc Parente; Krzysztof J. Geras; Joe Katsnelson; Hersh Chandarana; Zizhao Zhang; Michal Drozdzal; et al. (CoRR, 2018)

Order-Aware Generative Modeling Using the 3D-Craft Dataset. - Zhuoyuan Chen; Kavya Srinet; Charles R. Qi; Haoqi Fan 001; Jerry Ma; Larry Zitnick; Demi Guo; Tong Xiao; Saining Xie; Xinlei Chen; Arthur Szlam; Shubham Tulsiani; et al. (ICCV, 2019)

ELF OpenGo: an analysis and open reimplementation of AlphaZero. - Yuandong Tian; Jerry Ma; Qucheng Gong; Shubho Sengupta; Zhuoyuan Chen; James Pinkerton; Larry Zitnick (ICML, 2019)

CraftAssist: A Framework for Dialogue-enabled Interactive Agents. - Jonathan Gray; Kavya Srinet; Yacine Jernite; Haonan Yu; Zhuoyuan Chen; Demi Guo; Siddharth Goyal; C. Lawrence Zitnick; Arthur Szlam (CoRR, 2019)

Why Build an Assistant in Minecraft? - Arthur Szlam; Jonathan Gray; Kavya Srinet; Yacine Jernite; Armand Joulin; Gabriel Synnaeve; Douwe Kiela; Haonan Yu; Zhuoyuan Chen; Siddharth Goyal; Demi Guo; Danielle Rothermel; et al. (CoRR, 2019)

GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction. - Anuroop Sriram; Jure Zbontar; Tullie Murrell; C. Lawrence Zitnick; Aaron Defazio; Daniel K. Sodickson (CVPR, 2020)

Exploring Crowd Co-creation Scenarios for Sketches. - Devi Parikh; C. Lawrence Zitnick (ICCC, 2020)

End-to-End Variational Networks for Accelerated MRI Reconstruction. - Anuroop Sriram; Jure Zbontar; Tullie Murrell; Aaron Defazio; C. Lawrence Zitnick; Nafissa Yakubova; Florian Knoll; Patricia M. Johnson (MICCAI (2), 2020)

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. - Florian Knoll; Tullie Murrell; Anuroop Sriram; Nafissa Yakubova; Jure Zbontar; Michael G. Rabbat; Aaron Defazio; Matthew J. Muckley; Daniel K. Sodickson; C. Lawrence Zitnick; Michael P. Recht (CoRR, 2020)

An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage. - C. Lawrence Zitnick; Lowik Chanussot; Abhishek Das; Siddharth Goyal; Javier Heras-Domingo; Caleb Ho; Weihua Hu; Thibaut Lavril; Aini Palizhati; Morgane Riviere; Muhammed Shuaibi; Anuroop Sriram; et al. (CoRR, 2020)

The Open Catalyst 2020 (OC20) Dataset and Community Challenges. - Lowik Chanussot; Abhishek Das; Siddharth Goyal; Thibaut Lavril; Muhammed Shuaibi; Morgane Riviere; Kevin Tran; Javier Heras-Domingo; Caleb Ho; Weihua Hu; Aini Palizhati; Anuroop Sriram; et al. (CoRR, 2020)

Creative Sketch Generation. - Songwei Ge; Vedanuj Goswami; Larry Zitnick; Devi Parikh (ICLR, 2021)

Generative Adversarial Transformers. - Drew A. Hudson; Larry Zitnick (ICML, 2021)

The Open Catalyst Challenge 2021: Competition Report. - Abhishek Das; Muhammed Shuaibi; Aini Palizhati; Siddharth Goyal; Aditya Grover; Adeesh Kolluru; Janice Lan; Ammar Rizvi; Anuroop Sriram; Brandon M. Wood; Devi Parikh; Zachary W. Ulissi; et al. (NeurIPS (Competition and Demos), 2021)

Compositional Transformers for Scene Generation. - Dor Arad Hudson; Larry Zitnick (NeurIPS, 2021)

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations. - Weihua Hu; Muhammed Shuaibi; Abhishek Das; Siddharth Goyal; Anuroop Sriram; Jure Leskovec; Devi Parikh; C. Lawrence Zitnick (CoRR, 2021)

Rotation Invariant Graph Neural Networks using Spin Convolutions. - Muhammed Shuaibi; Adeesh Kolluru; Abhishek Das; Aditya Grover; Anuroop Sriram; Zachary W. Ulissi; C. Lawrence Zitnick (CoRR, 2021)

Compositional Transformers for Scene Generation. - Drew A. Hudson; C. Lawrence Zitnick (CoRR, 2021)

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. - Alexander Rives; Joshua Meier; Tom Sercu; Siddharth Goyal; Zeming Lin; Jason Liu; Demi Guo; Myle Ott; C. Lawrence Zitnick; Jerry Ma; Rob Fergus (Proc. Natl. Acad. Sci. USA, 2021)

Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. - Anuroop Sriram; Abhishek Das; Brandon M. Wood; Siddharth Goyal; C. Lawrence Zitnick (ICLR, 2022)

Spherical Channels for Modeling Atomic Interactions. - Larry Zitnick; Abhishek Das; Adeesh Kolluru; Janice Lan; Muhammed Shuaibi; Anuroop Sriram; Zachary W. Ulissi; Brandon M. Wood (NeurIPS, 2022)

How Do Graph Networks Generalize to Large and Diverse Molecular Systems? - Johannes Gasteiger; Muhammed Shuaibi; Anuroop Sriram; Stephan Günnemann; Zachary W. Ulissi; C. Lawrence Zitnick; Abhishek Das (CoRR, 2022)

The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis. - Richard Tran; Janice Lan; Muhammed Shuaibi; Siddharth Goyal; Brandon M. Wood; Abhishek Das; Javier Heras-Domingo; Adeesh Kolluru; Ammar Rizvi; Nima Shoghi; Anuroop Sriram; Zachary W. Ulissi; et al. (CoRR, 2022)

AdsorbML: Accelerating Adsorption Energy Calculations with Machine Learning. - Janice Lan; Aini Palizhati; Muhammed Shuaibi; Brandon M. Wood; Brook Wander; Abhishek Das; Matt Uyttendaele; C. Lawrence Zitnick; Zachary W. Ulissi (CoRR, 2022)

GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets. - Johannes Gasteiger; Muhammed Shuaibi; Anuroop Sriram; Stephan Günnemann; Zachary W. Ulissi; C. Lawrence Zitnick; Abhishek Das (Trans. Mach. Learn. Res., 2022)

Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs. - Saro Passaro; C. Lawrence Zitnick (ICML, 2023)

Fine-Tuned Language Models Generate Stable Inorganic Materials as Text. - Nate Gruver; Anuroop Sriram; Andrea Madotto; Andrew Gordon Wilson; C. Lawrence Zitnick; Zachary W. Ulissi (ICLR, 2024)

From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction. - Nima Shoghi; Adeesh Kolluru; John R. Kitchin; Zachary W. Ulissi; C. Lawrence Zitnick; Brandon M. Wood (ICLR, 2024)

Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models. - Luis Barroso-Luque; Muhammed Shuaibi; Xiang Fu 005; Brandon M. Wood; Misko Dzamba; Meng Gao; Ammar Rizvi; C. Lawrence Zitnick; Zachary W. Ulissi (CoRR, 2024)

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. - Justin Johnson 001; Bharath Hariharan; Laurens van der Maaten; Fei-Fei Li 001; C. Lawrence Zitnick; Ross B. Girshick (Zenodo, 2025)

Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction. - Xiang Fu 005; Brandon M. Wood; Luis Barroso-Luque; Daniel S. Levine 003; Meng Gao; Misko Dzamba; C. Lawrence Zitnick (CoRR, 2025)

UMA: A Family of Universal Models for Atoms. - Brandon M. Wood; Misko Dzamba; Xiang Fu 005; Meng Gao; Muhammed Shuaibi; Luis Barroso-Luque; Kareem Abdelmaqsoud; Vahe Gharakhanyan; John R. Kitchin; Daniel S. Levine 003; Kyle Michel; Anuroop Sriram; et al. (CoRR, 2025)