Anirudh Goyal
- Toward Causal Representation Learning
2021/02/26 by Bernhard Scholkopf, Bernhard Schölkopf, Francesco Locatello +5 · 159 citations
Computer Science · #Bayesian Modeling and Causal Inference #Anomaly Detection Techniques and Applications #AI-based Problem Solving and Planning
- Inductive Biases for Deep Learning of Higher-Level Cognition
2020/11/30 by Anirudh Goyal, Goyal, Anirudh, Yoshua Bengio +1 · 2 voices · 19 citations
Computer Science · Mathematics · Neuroscience · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #cs.AI #cs.LG #stat.ML
- A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
2019/01/30 by Yoshua Bengio, Tristan Deleu, Bengio, Yoshua +13 · 2 voices · 7 citations
Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #cs.LG #stat.ML
- Towards Causal Representation Learning
2021/02/22 by Bernhard Schölkopf, Francesco Locatello, Schölkopf, Bernhard +11 · 2 voices · 11 citations
Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
- Aligning Text-to-Image Diffusion Models with Reward Backpropagation
2023/10/05 by Mihir Prabhudesai, Anirudh Goyal, Prabhudesai, Mihir +5 · 44 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Robotics (cs.RO)
- Coordination Among Neural Modules Through a Shared Global Workspace
2021/03/01 by Anirudh Goyal, Aniket Didolkar, Goyal, Anirudh +19 · 1 voice · 9 citations
Computer Science · Engineering · Mathematics · #Ferroelectric and Negative Capacitance Devices #Reinforcement Learning in Robotics #Topic Modeling #cs.AI #cs.LG #stat.ML
- Recurrent Independent Mechanisms
2019/09/24 by Anirudh Goyal, Alex Lamb, Goyal, Anirudh +11 · 11 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics
- Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
2024/02/28 by Kaifeng Lyu, Haoyu Zhao, Lyu, Kaifeng +9 · 15 citations
Business, Management and Accounting · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Taxation and Legal Issues
- SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement
2024/10/26 by Antonis Antoniades, Albert Örwall, Antoniades, Antonis +9 · 22 citations
Business, Management and Accounting · Computer Science · #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies
- Gemini: A Family of Highly Capable Multimodal Models
2023/12/19 by Gemini Team, Rohan Anil, Sebastian Borgeaud +2682 · 9 voices
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.AI #cs.CL #cs.CV
- Learning Neural Causal Models from Unknown Interventions
2019/10/02 by Nan Rosemary Ke, Olexa Bilaniuk, Ke, Nan Rosemary +10 · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
- A Theory for Emergence of Complex Skills in Language Models
2023/07/29 by Sanjeev Arora, Anirudh Goyal, Arora, Sanjeev +1 · 2 voices · 8 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #cs.AI #cs.CL #cs.LG #stat.ML
- An Actor-Critic Algorithm for Sequence Prediction
2016/07/24 by Dzmitry Bahdanau, Bahdanau, Dzmitry, Philémon Brakel +13 · 6 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
2019/06/25 by Anirudh Goyal, Shagun Sodhani, Goyal, Anirudh +9 · 8 citations
Computer Science · Engineering · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #Elevator Systems and Control #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- AI-Assisted Generation of Difficult Math Questions
2024/07/30 by Vedant Shah, Dingli Yu, Shah, Vedant +20 · 3 voices · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing #cs.AI #cs.LG
- Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
2024/03/02 by Yiran Zhao, Wenyue Zheng, Zhao, Yiran +11 · 8 citations
Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Medical Image Segmentation Techniques #Advanced Vision and Imaging
- Generalization of Equilibrium Propagation to Vector Field Dynamics
2018/08/14 by Benjamin Scellier, Scellier, Benjamin, Anirudh Goyal +7 · 5 citations
Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural dynamics and brain function
- Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future
2019/03/05 by Nan Rosemary Ke, Ke, Nan Rosemary, Amanpreet Singh +10 · 4 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Reasoning Robustness of LLMs to Adversarial Typographical Errors
2024/11/08 by Eric Gan, Gan, Esther, Yiran Zhao +12 · 7 citations
Computer Science · #Natural Language Processing Techniques
- Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning
2024/08/27 by Simran Kaur, Simon Park, Kaur, Simran +5 · 7 citations
Computer Science · Engineering · #Computation and Language (cs.CL) #Educational Technology and Assessment #Experimental Learning in Engineering #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
2025/09/16 by Aniket Didolkar, Didolkar, Aniket, Nicolas Ballas +5 · 2 voices · 4 citations
Computer Science · Social Sciences · #Artificial Intelligence in Law #Natural Language Processing Techniques #Semantic Web and Ontologies #cs.AI #cs.LG
- GFlowOut: Dropout with Generative Flow Networks
2022/10/24 by Dianbo Liu, Moksh Jain, Liu, Dianbo +23 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
- Diversity inducing Information Bottleneck in Model Ensembles
2020/03/10 by Samarth Sinha, Sinha, Samarth, Homanga Bharadhwaj +9 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
2022/10/04 by Dianbo Liu, Liu, Dianbo, Vedant Shah +15 · 3 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Smart Grid Energy Management
- On Disentangled Representations Learned From Correlated Data
2020/06/14 by Frederik Träuble, Elliot Creager, Träuble, Frederik +13 · 2 citations
Computer Science · #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications
- Representation Learning in Deep RL via Discrete Information Bottleneck
2022/12/28 by Riashat Islam, Islam, Riashat, Hongyu Zang +19 · 3 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
2021/06/14 by Yashas Annadani, Jonas Rothfuss, Annadani, Yashas +11 · 3 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference
- Learning Neural Causal Models with Active Interventions
2021/09/06 by Nino Scherrer, Olexa Bilaniuk, Scherrer, Nino +17 · 2 citations
Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Can Models Learn Skill Composition from Examples?
2024/09/29 by Haoyu Zhao, Zhao, Haoyu, Simran Kaur +7 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Natural Language Processing Techniques
- Small-GAN: Speeding Up GAN Training Using Core-sets
2019/10/29 by Samarth Sinha, Han Zhang, Sinha, Samarth +9 · 2 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Neural Network Applications #Human Pose and Action Recognition
- Zero-Shot Object-Centric Representation Learning
2024/08/17 by Aniket Didolkar, Andrii Zadaianchuk, Didolkar, Aniket +11 · 3 citations
Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Rethinking Thinking Tokens: LLMs as Improvement Operators
2025/10/01 by Lovish Madaan, Aniket Didolkar, Madaan, Lovish +15 · 3 voices · 2 citations
Business, Management and Accounting · Computer Science · Social Sciences · #Artificial Intelligence in Law #Business Process Modeling and Analysis #Digital Rights Management and Security #cs.AI #cs.LG
- Z-Forcing: Training Stochastic Recurrent Networks
2017/11/15 by Anirudh Goyal, Goyal, Anirudh, Alessandro Sordoni +7 · 1 citation
Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech Recognition and Synthesis #Topic Modeling
- Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
2018/09/11 by Nan Rosemary Ke, Ke, Nan Rosemary, Anirudh Goyal +11 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
- Can AI Be as Creative as Humans?
2024/01/03 by Haonan Wang, James Zou, Wang, Haonan +18 · 2 citations
Materials Science · Computer Science · Social Sciences · #Machine Learning in Materials Science #Topic Modeling #Language and cultural evolution
- Masked Generative Priors Improve World Models Sequence Modelling Capabilities
2024/10/10 by Cristian Meo, Meo, Cristian, Mircea Lică +15 · 4 citations
Computer Science · Decision Sciences · #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Simulation Techniques and Applications
- Learning the Arrow of Time
2019/07/02 by Nasim Rahaman, Rahaman, Nasim, Steffen Wolf +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Decision Sciences · Neuroscience · #Artificial Intelligence (cs.AI) #Complex Systems and Decision Making #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Neural dynamics and brain function
- Variational Walkback: Learning a Transition Operator as a Stochastic\n Recurrent Net
2017/11/06 by Anirudh Goyal, Nan Rosemary Ke, Goyal, Anirudh +5 · 1 citation
Computer Science · Physics and Astronomy · #Explainable Artificial Intelligence (XAI) #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 Networks and Applications #Neural and Evolutionary Computing (cs.NE)
- ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context
2025/07/01 by Joongwon Kim, Kim, Joongwon, Anirudh Goyal +9 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Test-time Adaptation with Slot-Centric Models
2022/03/21 by Mihir Prabhudesai, Prabhudesai, Mihir, Anirudh Goyal +8 · 1 citation
Computer Science · Environmental Science · #Advanced Neural Network Applications #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Remote Sensing and LiDAR Applications #Robotics (cs.RO)
- Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning
2024/12/19 by Simon Frieder, Jonas Bayer, Frieder, Simon +27 · 2 citations
Computer Science · #Numerical Methods and Algorithms #Mathematics, Computing, and Information Processing #Polynomial and algebraic computation
- Benefit of Early Oseltamivir Therapy for Adults Hospitalized With Influenza A: An Observational Study
2024/11/22 by Nathaniel M. Lewis, Elizabeth Harker, Lauren Grant +90 · 1 voice · 1 citation
Medicine · #Influenza Virus Research Studies #Respiratory viral infections research #Infection Control and Ventilation
- A Systematic Examination of Preference Learning through the Lens of Instruction-Following
2024/12/18 by Joongwon Kim, Kim, Joongwon, Anirudh Goyal +15 · 1 citation
Psychology · Computer Science · Social Sciences · #Innovative Teaching and Learning Methods #Education and Learning Interventions #Education, Safety, and Science Studies
- α-TCVAE: On the relationship between Disentanglement and Diversity
2024/11/01 by Cristian Meo, Louis Mahon, Meo, Cristian +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG)