Nakul Verma

According to our database, Nakul Verma authored at least 31 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Using Deep Autoregressive Models as Causal Inference Engines.

Daniel Jiwoong Im, Kevin Zhang, Nakul Verma, Kyunghyun Cho

CoRR, 2024

2023

Contrastive Loss is All You Need to Recover Analogies as Parallel Lines.

Narutatsu Ri, Fei-Tzin Lee, Nakul Verma

Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level.

Iddo Drori, Sarah J. Zhang, Zad Chin, Reece Shuttleworth, Albert Lu, Linda Chen, Bereket Birbo, Michele He, Pedro Lantigua, Sunny Tran, Gregory Hunter, Bo Feng, Newman Cheng, Roman Wang, Yann Hicke, Saisamrit Surbehera, Arvind Raghavan, Alexander E. Siemenn, Nikhil Singh, Jayson Lynch, Avi Shporer, Nakul Verma, Tonio Buonassisi, Armando Solar-Lezama

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improving Model Training via Self-learned Label Representations.

Xiao Yu, Nakul Verma

CoRR, 2022

Complaint-Driven Training Data Debugging at Interactive Speeds.

Lampros Flokas, Weiyuan Wu, Yejia Liu, Jiannan Wang, Nakul Verma, Eugene Wu

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

How I stopped worrying about training data bugs and started complaining.

Lampros Flokas, Weiyuan Wu, Jiannan Wang, Nakul Verma, Eugene Wu

Proceedings of the DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, 2022

Solving Probability and Statistics Problems by Probabilistic Program Synthesis at Human Level and Predicting Solvability.

Leonard Tang, Elizabeth Ke, Nikhil Singh, Bo Feng, Derek Austin, Nakul Verma, Iddo Drori

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021

A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More.

Iddo Drori, Sunny Tran, Roman Wang, Newman Cheng, Kevin Liu, Leonard Tang, Elizabeth Ke, Nikhil Singh, Taylor L. Patti, Jayson Lynch, Avi Shporer, Nakul Verma, Eugene Wu, Gilbert Strang

CoRR, 2021

An analysis of document graph construction methods for AMR summarization.

Fei-Tzin Lee, Chris Kedzie, Nakul Verma, Kathleen R. McKeown

CoRR, 2021

Solving Probability and Statistics Problems by Program Synthesis.

Leonard Tang, Elizabeth Ke, Nikhil Singh, Nakul Verma, Iddo Drori

CoRR, 2021

Solving Linear Algebra by Program Synthesis.

Iddo Drori, Nakul Verma

CoRR, 2021

Automated Symbolic Law Discovery: A Computer Vision Approach.

Hengrui Xing, Ansaf Salleb-Aouissi, Nakul Verma

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Cortical pattern generation during dexterous movement is input-driven.

Britton A. Sauerbrei, Jian-Zhong Guo, Jeremy D. Cohen, Matteo Mischiati, Wendy Guo, Mayank Kabra, Nakul Verma, Brett Mensh, Kristin Branson, Adam W. Hantman

Nat., 2020

Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics.

Bo Cowgill, Fabrizio Dell'Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

2019

Meta-Learning to Cluster.

Yibo Jiang, Nakul Verma

CoRR, 2019

Model-Agnostic Meta-Learning using Runge-Kutta Methods.

Daniel Jiwoong Im, Yibo Jiang, Nakul Verma

CoRR, 2019

Metric Learning on Manifolds.

Max Aalto, Nakul Verma

CoRR, 2019

Noise-tolerant fair classification.

Alexandre Louis Lamy, Ziyuan Zhong, Aditya Krishna Menon, Nakul Verma

CoRR, 2019

2018

Stochastic Neighbor Embedding under f-divergences.

Daniel Jiwoong Im, Nakul Verma, Kristin Branson

CoRR, 2018

2017

Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality.

Samory Kpotufe, Nakul Verma

J. Mach. Learn. Res., 2017

2015

Sample Complexity of Learning Mahalanobis Distance Metrics.

Nakul Verma, Kristin Branson

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2013

Efficient energy management and data recovery in sensor networks using latent variables based tensor factorization.

Bojan Milosevic, Jinseok Yang, Nakul Verma, Sameer S. Tilak, Piero Zappi, Elisabetta Farella, Luca Benini, Tajana Simunic Rosing

Proceedings of the 16th ACM International Conference on Modeling, 2013

2012

Learning from data with low intrinsic dimension.

Nakul Verma

PhD thesis, 2012

Distance Preserving Embeddings for General n-Dimensional Manifolds.

Nakul Verma

Proceedings of the COLT 2012, 2012

CitiSense: improving geospatial environmental assessment of air quality using a wireless personal exposure monitoring system.

Nima Nikzad, Nakul Verma, Celal Ziftci, Elizabeth S. Bales, Nichole Quick, Piero Zappi, Kevin Patrick, Sanjoy Dasgupta, Ingolf Krueger, Tajana Simunic Rosing, William G. Griswold

Proceedings of the Wireless Health 2012, 2012

Citisense: mobile air quality sensing for individuals and communities.

Celal Ziftci, Nima Nikzad, Nakul Verma, Piero Zappi, Elizabeth S. Bales, Ingolf Krueger, William G. Griswold

Proceedings of the SPLASH'12, 2012

Learning hierarchical similarity metrics.

Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, Vinod Nair

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Multiple Instance Learning with Manifold Bags.

Boris Babenko, Nakul Verma, Piotr Dollár, Serge J. Belongie

Proceedings of the 28th International Conference on Machine Learning, 2011

2009

Which Spatial Partition Trees are Adaptive to Intrinsic Dimension?

Nakul Verma, Samory Kpotufe, Sanjoy Dasgupta

Proceedings of the UAI 2009, 2009

2007

Learning the structure of manifolds using random projections.

Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul Verma

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

A Concentration Theorem for Projections.

Sanjoy Dasgupta, Daniel J. Hsu, Nakul Verma

Proceedings of the UAI '06, 2006