Segui
Mo Tiwari
Mo Tiwari
PhD Student in Computer Science, Stanford University
Email verificata su stanford.edu - Home page
Titolo
Citata da
Citata da
Anno
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
13102022
Gflownet foundations
Y Bengio, S Lahlou, T Deleu, EJ Hu, M Tiwari, E Bengio
The Journal of Machine Learning Research 24 (1), 10006-10060, 2023
2222023
Nl-augmenter: A framework for task-sensitive natural language augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
arXiv preprint arXiv:2112.02721, 2021
772021
Landscape analysis of the application of artificial intelligence and machine learning in regulatory submissions for drug development from 2016 to 2021
Q Liu, R Huang, J Hsieh, H Zhu, M Tiwari, G Liu, D Jean, MK ElZarrad, ...
Clinical pharmacology and therapeutics 113 (4), 771-774, 2023
572023
BanditPAM: Almost Linear Time -Medoids Clustering via Multi-Armed Bandits
M Tiwari, MJ Zhang, J Mayclin, S Thrun, C Piech, I Shomorony
Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
492020
Differentiation of active corneal infections from healed scars using deep learning
M Tiwari, C Piech, M Baitemirova, NV Prajna, M Srinivasan, P Lalitha, ...
Ophthalmology 129 (2), 139-146, 2022
352022
Image compression and classification using qubits and quantum deep learning
A Mohsen, M Tiwari
arXiv preprint arXiv:2110.05476, 2021
122021
Cats: Contextually-aware thresholding for sparsity in large language models
D Lee, JY Lee, G Zhang, M Tiwari, A Mirhoseini
arXiv preprint arXiv:2404.08763, 2024
72024
MABSplit: Faster Forest Training Using Multi-Armed Bandits
M Tiwari, R Kang, JY Lee, S Thrun, C Piech, I Shomorony, MJ Zhang
Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022
62022
Using Google search trends to estimate global patterns in learning
S Arslan, M Tiwari, C Piech
Proceedings of the seventh acm conference on learning@ scale, 185-195, 2020
62020
BanditPAM++: Faster -medoids Clustering
M Tiwari, R Kang, D Lee, S Thrun, I Shomorony, MJ Zhang
Advances in Neural Information Processing Systems 36, 73371-73382, 2023
52023
Faster Maximum Inner Product Search in High Dimensions
M Tiwari, R Kang, JY Lee, D Lee, C Piech, S Thrun, I Shomorony, ...
arXiv preprint arXiv:2212.07551, 2022
42022
Prompt infection: Llm-to-llm prompt injection within multi-agent systems
D Lee, M Tiwari
arXiv preprint arXiv:2410.07283, 2024
22024
LeanAgent: Lifelong Learning for Formal Theorem Proving
A Kumarappan, M Tiwari, P Song, RJ George, C Xiao, A Anandkumar
arXiv preprint arXiv:2410.06209, 2024
22024
Accelerating machine learning algorithms with adaptive sampling
M Tiwari
Stanford University, 2023
22023
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees
C Sullivan, M Tiwari, S Thrun
Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9019-9026, 2024
12024
Bayesian decision trees via tractable priors and probabilistic context-free grammars
C Sullivan, M Tiwari, S Thrun, C Piech
arXiv preprint arXiv:2302.07407, 2023
12023
CATS: Context-Aware Thresholding for Sparsity in Large Language Models
D Lee, J Lee, G Zhang, M Tiwari, A Mirhoseini
First Conference on Language Modeling, 0
1
Harnessing the power of choices in decision tree learning
G Blanc, J Lange, C Pabbaraju, C Sullivan, LY Tan, M Tiwari
Advances in Neural Information Processing Systems 36, 80220-80232, 2023
2023
Adaptive Sampling for Efficient Softmax Approximation
T Baharav, R Kang, C Sullivan, M Tiwari, ES Luxenberg, D Tse, M Pilanci
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20