Nakul Verma

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 21

Top Venues

CoRR

J. Mach. Learn. Res.

AAAI

NIPS

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Narutatsu Ri, Fei-Tzin Lee, Nakul Verma
Contrastive Loss is All You Need to Recover Analogies as Parallel Lines. RepL4NLP@ACL (2023)
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
A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level. AAAI (2023)
Narutatsu Ri, Fei-Tzin Lee, Nakul Verma
Contrastive Loss is All You Need to Recover Analogies as Parallel Lines. CoRR (2023)
Xiao Yu, Nakul Verma
Improving Model Training via Self-learned Label Representations. CoRR (2022)
Lampros Flokas, Weiyuan Wu, Yejia Liu, Jiannan Wang, Nakul Verma, Eugene Wu
Complaint-Driven Training Data Debugging at Interactive Speeds. SIGMOD Conference (2022)
Lampros Flokas, Weiyuan Wu, Jiannan Wang, Nakul Verma, Eugene Wu
How I stopped worrying about training data bugs and started complaining. DEEM@SIGMOD (2022)
Leonard Tang, Elizabeth Ke, Nikhil Singh, Bo Feng, Derek Austin, Nakul Verma, Iddo Drori
Solving Probability and Statistics Problems by Probabilistic Program Synthesis at Human Level and Predicting Solvability. AIED (2) (2022)
Iddo Drori, Nakul Verma
Solving Linear Algebra by Program Synthesis. CoRR (2021)
Hengrui Xing, Ansaf Salleb-Aouissi, Nakul Verma
Automated Symbolic Law Discovery: A Computer Vision Approach. AAAI (2021)
Fei-Tzin Lee, Chris Kedzie, Nakul Verma, Kathleen R. McKeown
An analysis of document graph construction methods for AMR summarization. CoRR (2021)
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
A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More. CoRR (2021)
Leonard Tang, Elizabeth Ke, Nikhil Singh, Nakul Verma, Iddo Drori
Solving Probability and Statistics Problems by Program Synthesis. CoRR (2021)
Bo Cowgill, Fabrizio Dell'Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics. EC (2020)
Britton A. Sauerbrei, Jian-Zhong Guo, Jeremy D. Cohen, Matteo Mischiati, Wendy Guo, Mayank Kabra, Nakul Verma, Brett Mensh, Kristin Branson, Adam W. Hantman
Cortical pattern generation during dexterous movement is input-driven. Nat. 577 (7790) (2020)
Bo Cowgill, Fabrizio Dell'Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics. CoRR (2020)
Alexandre Louis Lamy, Ziyuan Zhong, Aditya Krishna Menon, Nakul Verma
Noise-tolerant fair classification. CoRR (2019)
Max Aalto, Nakul Verma
Metric Learning on Manifolds. CoRR (2019)
Daniel Jiwoong Im, Yibo Jiang, Nakul Verma
Model-Agnostic Meta-Learning using Runge-Kutta Methods. CoRR (2019)
Yibo Jiang, Nakul Verma
Meta-Learning to Cluster. CoRR (2019)
Daniel Jiwoong Im, Nakul Verma, Kristin Branson
Stochastic Neighbor Embedding under f-divergences. CoRR (2018)
Samory Kpotufe, Nakul Verma
Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality. J. Mach. Learn. Res. 18 (2017)
Nakul Verma, Kristin Branson
Sample complexity of learning Mahalanobis distance metrics. CoRR (2015)
Nakul Verma, Kristin Branson
Sample Complexity of Learning Mahalanobis Distance Metrics. NIPS (2015)
Nakul Verma
Distance preserving embeddings for general n-dimensional manifolds. J. Mach. Learn. Res. 14 (1) (2013)
Bojan Milosevic, Jinseok Yang, Nakul Verma, Sameer S. Tilak, Piero Zappi, Elisabetta Farella, Luca Benini, Tajana Simunic Rosing
Efficient energy management and data recovery in sensor networks using latent variables based tensor factorization. MSWiM (2013)
Nima Nikzad, Nakul Verma, Celal Ziftci, Elizabeth Bales, Nichole Quick, Piero Zappi, Kevin Patrick, Sanjoy Dasgupta, Ingolf Krueger, Tajana Simunic Rosing, William G. Griswold
CitiSense: improving geospatial environmental assessment of air quality using a wireless personal exposure monitoring system. Wireless Health (2012)
Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, Vinod Nair
Learning hierarchical similarity metrics. CVPR (2012)
Celal Ziftci, Nima Nikzad, Nakul Verma, Piero Zappi, Elizabeth Bales, Ingolf Krueger, William G. Griswold
Citisense: mobile air quality sensing for individuals and communities. SPLASH (2012)
Nakul Verma, Samory Kpotufe, Sanjoy Dasgupta
Which Spatial Partition Trees are Adaptive to Intrinsic Dimension? CoRR (2012)
Sanjoy Dasgupta, Daniel J. Hsu, Nakul Verma
A concentration theorem for projections. CoRR (2012)
Nakul Verma
Distance Preserving Embeddings for General n-Dimensional Manifolds. COLT (2012)
Boris Babenko, Nakul Verma, Piotr Dollár, Serge J. Belongie
Multiple Instance Learning with Manifold Bags. ICML (2011)
Nakul Verma, Samory Kpotufe, Sanjoy Dasgupta
Which Spatial Partition Trees are Adaptive to Intrinsic Dimension? UAI (2009)
Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul Verma
Learning the structure of manifolds using random projections. NIPS (2007)
Sanjoy Dasgupta, Daniel J. Hsu, Nakul Verma
A Concentration Theorem for Projections. UAI (2006)

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Publication Activity (10 Years)

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Nakul Verma