Probabilistic Safety Programs. - Ashish Kapoor; Debadeepta Dey; Shital Shah (CoRR, 2016)

AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. - Shital Shah; Debadeepta Dey; Chris Lovett; Ashish Kapoor (FSR, 2017)

Submodular Trajectory Optimization for Aerial 3D Scanning. - Mike Roberts 001; Shital Shah; Debadeepta Dey; Anh Truong; Sudipta N. Sinha; Ashish Kapoor; Pat Hanrahan; Neel Joshi (ICCV, 2017)

AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. - Elizabeth Bondi; Debadeepta Dey; Ashish Kapoor; Jim Piavis; Shital Shah; Fei Fang 001; Bistra Dilkina; Robert Hannaford; Arvind Iyer; Lucas Joppa; Milind Tambe (COMPASS, 2018)

Near Real-Time Detection of Poachers from Drones in AirSim. - Elizabeth Bondi; Ashish Kapoor; Debadeepta Dey; James Piavis; Shital Shah; Robert Hannaford; Arvind Iyer; Lucas Joppa; Milind Tambe (IJCAI, 2018)

A system for real-time interactive analysis of deep learning training. - Shital Shah; Roland Fernandez; Steven Mark Drucker (EICS, 2019)

A High-Fidelity Open Embodied Avatar with Lip Syncing and Expression Capabilities. - Deepali Aneja; Daniel McDuff; Shital Shah (ICMI, 2019)

An Empirical Analysis of Backward Compatibility in Machine Learning Systems. - Megha Srivastava; Besmira Nushi; Ece Kamar; Shital Shah; Eric Horvitz (KDD, 2020)

Safe Reinforcement Learning via Curriculum Induction. - Matteo Turchetta; Andrey Kolobov; Shital Shah; Andreas Krause 001; Alekh Agarwal (NeurIPS, 2020)

BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. - Elizabeth Bondi; Raghav Jain; Palash Aggrawal; Saket Anand; Robert Hannaford; Ashish Kapoor; Jim Piavis; Shital Shah; Lucas Joppa; Bistra Dilkina; Milind Tambe (WACV, 2020)

Understanding Failures of Deep Networks via Robust Feature Extraction. - Sahil Singla 002; Besmira Nushi; Shital Shah; Ece Kamar; Eric Horvitz (CVPR, 2021)

FEAR: A Simple Lightweight Method to Rank Architectures. - Debadeepta Dey; Shital Shah; Sébastien Bubeck (CoRR, 2021)

LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models. - Mojan Javaheripi; Gustavo de Rosa; Subhabrata Mukherjee; Shital Shah; Tomasz Religa; Caio César Teodoro Mendes; Sébastien Bubeck; Farinaz Koushanfar; Debadeepta Dey (NeurIPS, 2022)

LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models. - Mojan Javaheripi; Shital Shah; Subhabrata Mukherjee; Tomasz L. Religa; Caio C. T. Mendes; Gustavo H. de Rosa; Sébastien Bubeck; Farinaz Koushanfar; Debadeepta Dey (CoRR, 2022)

One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning. - Sharath Girish; Debadeepta Dey; Neel Joshi; Vibhav Vineet; Shital Shah; Caio César Teodoro Mendes; Abhinav Shrivastava; Yale Song (CoRR, 2022)

Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. - Ganesh Jawahar; Subhabrata Mukherjee; Debadeepta Dey; Muhammad Abdul-Mageed; Laks V. S. Lakshmanan; Caio C. T. Mendes; Gustavo Henrique de Rosa; Shital Shah (SustaiNLP, 2023)

Textbooks Are All You Need. - Suriya Gunasekar; Yi Zhang 001; Jyoti Aneja; Caio César Teodoro Mendes; Allie Del Giorno; Sivakanth Gopi; Mojan Javaheripi; Piero Kauffmann; Gustavo de Rosa; Olli Saarikivi; Adil Salim; Shital Shah; et al. (CoRR, 2023)

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. - Marah I Abdin; Sam Ade Jacobs; Ammar Ahmad Awan; Jyoti Aneja; Ahmed Awadallah 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 2024)

Phi-4 Technical Report. - Marah I Abdin; Jyoti Aneja; Harkirat S. Behl; Sébastien Bubeck; Ronen Eldan; Suriya Gunasekar; Michael Harrison; Russell J. Hewett; Mojan Javaheripi; Piero Kauffmann; James R. Lee; Yin Tat Lee; et al. (CoRR, 2024)

Phi-4-reasoning Technical Report. - Marah I Abdin; Sahaj Agarwal; Ahmed Awadallah 001; Vidhisha Balachandran; Harkirat S. Behl; Lingjiao Chen; Gustavo de Rosa; Suriya Gunasekar; Mojan Javaheripi; Neel Joshi; Piero Kauffmann; Yash Lara; et al. (CoRR, 2025)