Vikash Mansinghka

Principal Research Scientist, Massachusetts Institute of Technology

Joined

February 2017

Names

Vikash Mansinghka

Emails

****@mit.edu (Confirmed)

Personal Links

DBLP

Career & Education History

Principal Research Scientist

Massachusetts Institute of Technology (mit.edu)

Present

Advisors, Relations & Conflicts

PhD Advisee

Feras Saad

Present

Coauthor

Joshua B. Tenenbaum

Present

Coauthor

Thomas P. O'Connell

Present

PhD Advisee

Yoni Friedman

Present

Coworker

William T. Freeman

Present

PhD Advisee

Arijit Dasgupta

Present

PhD Advisee

Eric Li

Present

PhD Advisee

Mathieu Huot

Present

Coauthor

Rif A. Saurous

Present

Coauthor

Brian Patton

Present

Coauthor

Timothy J. O'Donnell

Present

Coauthor

Sam Staton

Present

Expertise

Probabilistic Programming

Present

Machine Learning

Present

Publications

Improving autoformalization via cycle consistency and incremental type-checking using language-model probabilistic programs
Mauricio Barba da Costa, Fabian Zaiser, Katherine M. Collins, Romir Patel, Timothy J. O'Donnell, Alexander K. Lew, Joshua B. Tenenbaum, Vikash Mansinghka, Cameron Freer
- MATH-AI 2025 Poster
- Readers: Everyone
GenParticles: Probabilistic Particle-Based Modeling for Object-Centric Motion
Arijit Dasgupta, Eric Li, Mathieu Huot, William T. Freeman, Vikash Mansinghka, Joshua B. Tenenbaum
- SWOMO RSS25 Poster
- Readers: Everyone
Self-Steering Language Models
Gabriel Grand, Joshua B. Tenenbaum, Vikash Mansinghka, Alexander K. Lew, Jacob Andreas
- COLM 2025
- Readers: Everyone
Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling
Ben Lipkin, Benjamin LeBrun, Jacob Hoover Vigly, João Loula, David R. MacIver, Li Du, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Timothy J. O'Donnell, Alexander K. Lew, Tim Vieira
- COLM 2025
- Readers: Everyone
Self-Steering Language Models
Gabriel Grand, Joshua B. Tenenbaum, Vikash Mansinghka, Alexander K. Lew, Jacob Andreas
- ICLR 2025 Workshop VerifAI Oral
- Readers: Everyone
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images
Matthew Douglas Hoffman, Tuan Anh Le, Pavel Sountsov, Christopher Suter, Ben Lee, Vikash Mansinghka, Rif A. Saurous
- AISTATS 2023
- Readers: Everyone
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
João Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander K. Lew, Tim Vieira, Timothy J. O'Donnell
- ICLR 2025 Oral
- Readers: Everyone
Learning Generative Population Models From Multiple Clinical Datasets Via Probabilistic Programming
João Loula, Katherine M. Collins, Ulrich Schaechtle, Joshua B. Tenenbaum, Adrian Weller, Feras Saad, Timothy J. O'Donnell, Vikash Mansinghka
- AccMLBio Poster
- Readers: Everyone
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs
Alexander K. Lew, Tan Zhi-Xuan, Gabriel Grand, Vikash Mansinghka
- SODS 2023 Oral
- Readers: Everyone
Differentiating Metropolis-Hastings to Optimize Intractable Densities
Gaurav Arya, Ruben Seyer, Frank Schäfer, Kartik Chandra, Alexander K. Lew, Mathieu Huot, Vikash Mansinghka, Jonathan Ragan-Kelley, Christopher Vincent Rackauckas, Moritz Schauer
- Differentiable Almost Everything
- Readers: Everyone

View all 26 publications

Co-Authors

View all 72 co-authors