Reddy, Chandan K.

25 publications

ICLR 2026 LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery Nikhil Abhyankar, Sanchit Kabra, Saaketh Desai, Chandan K. Reddy

TMLR 2026 LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers Nikhil Abhyankar, Parshin Shojaee, Chandan K. Reddy

TMLR 2026 SURFACEBENCH: A Geometry-Aware Benchmark for Symbolic Surface Discovery Sanchit Kabra, Shobhnik Kriplani, Parshin Shojaee, Chandan K. Reddy

AAAI 2025 Evolutionary Large Language Model for Automated Feature Transformation Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Haifeng Chen, Yanjie Fu

ICLR 2025 LLM-SR: Scientific Equation Discovery via Programming with Large Language Models Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy

ICML 2025 LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D Doan, Chandan K. Reddy

AAAI 2025 Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges Chandan K. Reddy, Parshin Shojaee

ICLR 2024 SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-Training Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani

IJCAI 2023 A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy

AAAI 2023 CodeAttack: Code-Based Adversarial Attacks for Pre-Trained Programming Language Models Akshita Jha, Chandan K. Reddy

TMLR 2023 Execution-Based Code Generation Using Deep Reinforcement Learning Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy

TMLR 2023 Graph-Based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting Zibo Liu, Parshin Shojaee, Chandan K. Reddy

NeurIPSW 2023 SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-Training Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani

AAAI 2022 Multilingual Code Snippets Training for Program Translation Ming Zhu, Karthik Suresh, Chandan K. Reddy

AAAI 2021 A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy

IJCAI 2021 Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning

AAAI 2020 LATTE: Latent Type Modeling for Biomedical Entity Linking Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy

IJCAI 2018 Social Media Based Simulation Models for Understanding Disease Dynamics Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan

IJCAI 2018 Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network Based Survival Analysis Guolei Yang, Ying Cai, Chandan K. Reddy

IJCAI 2017 Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy

AAAI 2017 PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park

ECML-PKDD 2011 Adaptive Boosting for Transfer Learning Using Dynamic Updates Samir Al-Stouhi, Chandan K. Reddy

ECML-PKDD 2011 Constrained Logistic Regression for Discriminative Pattern Mining Rajul Anand, Chandan K. Reddy

CVPR 2004 Mobile Face Capture for Virtual Face Videos Chandan K. Reddy, George C. Stockman, Jannick P. Rolland, Frank A. Biocca

CVPRW 2004 Mobile Face Capture for Virtual Face Videos Chandan K. Reddy, George C. Stockman, Jannick P. Rolland, Frank A. Biocca