Goyal, Anirudh

Toward Causal Representation Learning

Scholkopf, B., Locatello, F., Bauer, S., Ke, N. R., Kalchbrenner, N., Goyal, A., & Bengio, Y. (2021) · Proceedings of the IEEE

Bayesian Modeling and Causal InferenceAdvanced Causal Inference Techniques

Cited by 1,170

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 990

The Llama 3 Herd of Models

Grattafiori, A., Dubey, A., Jauhri, A., Pandey, A., Kadian, A., Al-Dahle, A., Letman, A., Mathur, A., Schelten, A., Vaughan, A., et al. (2024) · arXiv

Fault Detection and Control SystemsAnomaly Detection Techniques and Applications

Cited by 505

An Actor-Critic Algorithm for Sequence Prediction

Bahdanau, D., Brakel, P., Xu, K., Goyal, A., Lowe, R., Pineau, J., Courville, A., & Bengio, Y. (2016) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 423

Inductive biases for deep learning of higher-level cognition

Goyal, A., & Bengio, Y. (2022) · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

Domain Adaptation and Few-Shot LearningPsychiatry, Mental Health, Neuroscience

Cited by 300

A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms

Bengio, Y., Deleu, T., Rahaman, N., Ke, R., Lachapelle, S., Bilaniuk, O., Goyal, A., & Pal, C. (2019) · arXiv

Bayesian Modeling and Causal InferenceExplainable Artificial Intelligence (XAI)

Cited by 182

A Theory for Emergence of Complex Skills in Language Models

Arora, S., & Goyal, A. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 129

Coordination among neural modules through a shared global workspace

Goyal, A., Didolkar, A., Lamb, A., Badola, K., Ke, N. R., Rahaman, N., Binas, J., Blundell, C., Mozer, M., & Bengio, Y. (2021) · arXiv

Neural Networks and ApplicationsPsychiatry, Mental Health, Neuroscience

Cited by 59

Small-GAN: Speeding Up GAN Training Using Core-sets

Sinha, S., Zhang, H., Goyal, A., Bengio, Y., Larochelle, H., & Odena, A. (2019) · arXiv

Generative Adversarial Networks and Image SynthesisStochastic Gradient Optimization Techniques

Cited by 56

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Ahmed, O., Träuble, F., Goyal, A., Neitz, A., Bengio, Y., Schölkopf, B., Wüthrich, M., & Bauer, S. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 50

Can AI Be as Creative as Humans?

Wang, H., Zou, J., Mozer, M., Goyal, A., Lamb, A., Zhang, L., Su, W. J., Deng, Z., Xie, M. Q., Brown, H., et al. (2024) · arXiv

Creativity in Education and NeuroscienceArtificial Intelligence Applications

Cited by 7

Aligning Text-to-Image Diffusion Models with Reward Backpropagation

Prabhudesai, M., Goyal, A., Pathak, D., & Fragkiadaki, K. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 6

SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement

Antoniades, A., Örwall, A., Zhang, K., Xie, Y., Goyal, A., & Wang, W. (2024) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 3

Auto-Discovery-Bench: Diagnosing Structured State Tracking in Oracle-Guided Discovery

Chen, T., Lin, B., Anumasa, S., Shah, V., Yuan, Z., Zou, Q., Goyal, A., & Liu, D. (2025) · arXiv

Logic, Reasoning, and KnowledgeAI-based Problem Solving and Planning

Cited by 0

Rethinking Thinking Tokens: LLMs as Improvement Operators

Madaan, L., Didolkar, A., Gururangan, S., Quan, J., Silva, R., Salakhutdinov, R., Zaheer, M., Arora, S., & Goyal, A. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

GitSwarm: Decentralized Compounding Inference

Shah, V., Samanta, A., Dahal, P., Plekhanov, M., Wu, C.-J., Yih, S., Munos, R., Fergus, R., Foerster, J., Salakhutdinov, R., et al. (2026) · arXiv

Scientific Computing and Data ManagementAI-based Problem Solving and Planning

Cited by 0

Scaling Test-Time Compute for Agentic Coding

Kim, J., Yang, W., Niu, K., Zhang, H., Zhu, Y., Helenowski, E., Silva, R., Chen, Z., Iyer, S., Zaheer, M., et al. (2026) · arXiv

Software Engineering ResearchAI-based Problem Solving and Planning

Cited by 0