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Aditya Grover

  1. Mercury: Ultra-Fast Language Models Based on Diffusion
    2025/06/17 by Inception Labs, Samar Khanna, Labs, Inception +23 · 26 voices · 86 citations
    #cs.CL #cs.AI #cs.LG
  2. Pretrained Transformers as Universal Computation Engines
    2021/03/09 by Kevin Lü, Kevin Lu, Lu, Kevin +6 · 6 voices · 13 citations
    Engineering · Computer Science · #Ferroelectric and Negative Capacitance Devices #Advanced Memory and Neural Computing #Neural Networks and Reservoir Computing
  3. node2vec: Scalable Feature Learning for Networks
    2016/07/03 by Aditya Grover, Jure Leskovec, Grover, Aditya +1 · 144 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Domain Adaptation and Few-Shot Learning
  4. Decision Transformer: Reinforcement Learning via Sequence Modeling
    2021/06/02 by Lili Chen, Chen, Lili, Kevin Lü +15 · 156 citations
    Computer Science · #Reinforcement Learning in Robotics #Topic Modeling #Adversarial Robustness in Machine Learning
  5. OpenThoughts: Data Recipes for Reasoning Models
    2025/06/04 by Etash Guha, Guha, Etash, Ryan Marten +102 · 2 voices · 67 citations
    Computer Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #Mathematics, Computing, and Information Processing #cs.LG
  6. ClimaX: A foundation model for weather and climate
    2023/01/24 by Tung Nguyen, Nguyen, Tung, J. Brandstetter +7 · 55 citations
    Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Climate variability and models #Hydrological Forecasting Using AI
  7. Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
    2023/12/06 by Tung Nguyen, Rohan Shah, Nguyen, Tung +15 · 1 voice · 14 citations
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #cs.AI #cs.LG #physics.ao-ph
  8. VideoPhy: Evaluating Physical Commonsense for Video Generation
    2024/06/05 by Hritik Bansal, Zongyu Lin, Bansal, Hritik +17 · 37 citations
    Computer Science · Engineering · #Human Pose and Action Recognition #Human Motion and Animation #Video Analysis and Summarization
  9. Frame Averaging for Invariant and Equivariant Network Design
    2021/10/07 by Omri Puny, Matan Atzmon, Puny, Omri +11 · 18 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
  10. Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
    2022/07/09 by Tung Nguyen, Nguyen, Tung, Aditya Grover +1 · 19 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Data Classification
  11. Guided Flows for Generative Modeling and Decision Making
    2023/11/22 by Qinqing Zheng, Matt Le, Zheng, Qinqing +9 · 23 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Reinforcement Learning in Robotics #Robotics (cs.RO) #Topic Modeling
  12. d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
    2025/04/16 by Siyan Zhao, Zhao, Siyan, Devaansh Gupta +5 · 50 citations
    Computer Science · #Topic Modeling #Reinforcement Learning in Robotics #Multimodal Machine Learning Applications
  13. Online Decision Transformer
    2022/02/11 by Qinqing Zheng, Amy Zhang, Zheng, Qinqing +3 · 11 citations
    Computer Science · #Reinforcement Learning in Robotics #Software Engineering Research
  14. LaViDa: A Large Diffusion Language Model for Multimodal Understanding
    2025/05/22 by Shufan Li, Konstantinos Kallidromitis, Li, Shufan +17 · 37 citations
    #cs.CV
  15. Moser Flow: Divergence-based Generative Modeling on Manifolds
    2021/08/18 by Noam Rozen, Rozen, Noam, Aditya Grover +5 · 8 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Artificial Intelligence (cs.AI) #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data
    2024/02/08 by Shufan Li, Li, Shufan, Harkanwar Singh +3 · 13 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural Networks and Applications
  17. CyCLIP: Cyclic Contrastive Language-Image Pretraining
    2022/05/28 by Shashank Goel, Hritik Bansal, Goel, Shashank +9 · 8 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  18. Accelerating Diffusion LLMs via Adaptive Parallel Decoding
    2025/05/31 by Daniel Israel, Israel, Daniel, Guy Van den Broeck +3 · 35 citations
    Computer Science · #Digital Rights Management and Security
  19. Graphite: Iterative Generative Modeling of Graphs
    2018/03/28 by Aditya Grover, Aaron Zweig, Grover, Aditya +3 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Social and Information Networks (cs.SI)
  20. Boosted Generative Models
    2017/02/27 by Aditya Grover, Grover, Aditya, Stefano Ermon +1 · 8 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Neural Networks and Applications #Computational Physics and Python Applications
  21. Group Preference Optimization: Few-Shot Alignment of Large Language Models
    2023/10/17 by Siyan Zhao, John Dang, Zhao, Siyan +3 · 8 citations
    Computer Science · #Topic Modeling #Speech and dialogue systems #Natural Language Processing Techniques
  22. Fair Generative Modeling via Weak Supervision
    2019/10/26 by Kristy Choi, Choi, Kristy, Aditya Grover +7 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. Leaving Reality to Imagination: Robust Classification via Generated Datasets
    2023/02/05 by Hritik Bansal, Bansal, Hritik, Aditya Grover +1 · 8 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Computational Physics and Python Applications #Evolutionary Algorithms and Applications
  24. BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
    2021/12/06 by Chris Cundy, Aditya Grover, Cundy, Chris +3 · 5 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Statistical Process Monitoring #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  25. ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
    2023/07/04 by Tung Nguyen, Nguyen, Tung, Jason Jewik +7 · 7 citations
    Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Climate variability and models #Hydrological Forecasting Using AI
  26. TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation
    2024/05/07 by Hritik Bansal, Bansal, Hritik, Yonatan Bitton +9 · 9 citations
    Computer Science · Engineering · #Video Analysis and Summarization #Human Motion and Animation #Multimodal Machine Learning Applications
  27. ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
    2024/02/01 by Juan Nathaniel, Yongquan Qu, Nathaniel, Juan +11 · 7 citations
    Earth and Planetary Sciences · #Meteorological Phenomena and Simulations
  28. Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
    2019/06/23 by Aditya Grover, Jiaming Song, Grover, Aditya +11 · 3 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural and Evolutionary Computing (cs.NE)
  29. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning
    2025/04/01 by Nishad Singhi, Hritik Bansal, Singhi, Nishad +11 · 11 citations
    Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Topic Modeling
  30. Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
    2024/10/30 by Qinqing Zheng, Mikael Henaff, Zheng, Qinqing +7 · 2 voices · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques #Robotics (cs.RO) #Topic Modeling
  31. Variational Rejection Sampling
    2018/04/05 by Aditya Grover, Grover, Aditya, Miguel Lázaro-Gredilla +6 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  32. Masked Autoencoding for Scalable and Generalizable Decision Making
    2022/11/23 by Fangchen Liu, Liu, Fangchen, Hao Liu +5 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  33. Learning Controllable Fair Representations
    2018/12/11 by Jiaming Song, Song, Jiaming, Pratyusha Kalluri +7 · 3 citations
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  34. Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
    2022/10/12 by Qinqing Zheng, Mikael Henaff, Zheng, Qinqing +5 · 3 citations
    Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Data Classification #Evolutionary Algorithms and Applications
  35. Best arm identification in multi-armed bandits with delayed feedback
    2018/03/29 by Aditya Grover, Grover, Aditya, Todor Markov +19 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Cognitive Radio Networks and Spectrum Sensing #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  36. Rotation Invariant Graph Neural Networks using Spin Convolutions
    2021/06/17 by Muhammed Shuaibi, Shuaibi, Muhammed, Adeesh Kolluru +11 · 3 citations
    Materials Science · Computer Science · #Machine Learning in Materials Science #Topic Modeling #Advanced Graph Neural Networks
  37. Generative Pretraining for Black-Box Optimization
    2022/06/22 by Siddarth Krishnamoorthy, Satvik Mehul Mashkaria, Krishnamoorthy, Siddarth +3 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Visualization and Analytics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
  38. ExPT: Synthetic Pretraining for Few-Shot Experimental Design
    2023/10/30 by Tung Nguyen, Nguyen, Tung, Sudhanshu Agrawal +3 · 3 citations
    Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Optimal Experimental Design Methods
  39. LICO: Large Language Models for In-Context Molecular Optimization
    2024/06/27 by Tung Nguyen, Aditya Grover, Nguyen, Tung +1 · 4 citations
    Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #Chemical Physics (physics.chem-ph) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM)
  40. Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models
    2024/04/15 by Siyan Zhao, Zhao, Siyan, Daniel Israel +5 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  41. Reset-Free Lifelong Learning with Skill-Space Planning
    2020/12/07 by Kevin Lü, Aditya Grover, Lu, Kevin +5 · 2 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Machine Learning and Algorithms #Advanced Bandit Algorithms Research
  42. Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization
    2018/12/26 by Aditya Grover, Grover, Aditya, Stefano Ermon +1 · 1 citation
    Computer Science · Engineering · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural and Evolutionary Computing (cs.NE) #Sparse and Compressive Sensing Techniques
  43. Anytime Sampling for Autoregressive Models via Ordered Autoencoding
    2021/02/23 by Yilun Xu, Xu, Yilun, Yang Song +11 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Music and Audio Processing
  44. Enabling Autoregressive Models to Fill In Masked Tokens
    2025/02/09 by Daniel Israel, Israel, Daniel, Aditya Grover +3 · 1 voice · 2 citations
    Computer Science · Engineering · #Handwritten Text Recognition Techniques #Human Motion and Animation #cs.AI #cs.CL #cs.LG
  45. InstructAny2Pix: Flexible Visual Editing via Multimodal Instruction Following
    2023/12/11 by Shufan Li, Harkanwar Singh, Li, Shufan +3 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  46. MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants
    2024/12/17 by Hritik Bansal, Daniel Israel, Bansal, Hritik +9 · 2 citations
    Health Professions · #Artificial Intelligence (cs.AI) #Assistive Technology in Communication and Mobility #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  47. HoneyBee: Data Recipes for Vision-Language Reasoners
    2025/10/14 by Hritik Bansal, Bansal, Hritik, Sachan, Devendra Singh +11 · 4 citations
    Computer Science · #Semantic Web and Ontologies
  48. Neural Joint Source-Channel Coding
    2018/11/19 by Kristy Choi, Choi, Kristy, Kedar Tatwawadi +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Computer and information sciences #Fractal and DNA sequence analysis #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech Recognition and Synthesis #Speech and Audio Processing
  49. Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation
    2025/09/23 by Shufan Li, Jiuxiang Gu, Li, Shufan +11 · 5 citations
    #cs.CV
  50. Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models
    2025/12/16 by Shufan Li, Li, Shufan, Jiuxiang Gu +11 · 2 citations
    #cs.CV