TTIC
Toyota Technological Institute at Chicago (TTIC) is a philanthropically endowed academic computer science institute. We provide a tailored PhD program to the world’s most promising computer scientists and consistently produce cutting-edge research by award-winning faculty and students.
Our mission is to achieve international impact through world-class research and education in fundamental computer science and information technology.
“Bridging Robot and AI Safety: Vision-Language-Action Models and Beyond” – Kaylene Stocking
"A Principled Approach to Randomized Selection under Uncertainty" – Nihar Shah
"Efficient Learning Algorithms under Contamination" – Konstantinos Stavropoulos,
"Integer Programming and Combinatorial Markets" – Siddharth Prasad, Research at TTIC
“Smooth Tradeoff for Tensor PCA via Sharp Matrix Bounds” - Jeff Xu, Research at TTIC
“Relating Streaming Approximations, LP Relaxations, and Local Algorithms” - Santhoshini Velusamy
"Reasoning and Mathematics" – David McAllester, Research at TTIC
“Audio Language Models” - Neil Zeghidour
“Advancements in Spoken Language Models: Building upon Text-Based Large Language Models” Hung Yi Lee
“Speech Generation and Sound Understanding in The Era of Large Language Models” David Harwath
"Science of AI and AI for Science "- Noah Smith
“Distributed Triangle Detection is Hard in Few Rounds"– Janani Sundaresan, Talks at TTIC
National Robotics Week 2025 at Griffin Museum of Science and Industry
"Multi-Armed Bandits: Adaptivity to Causal Structure and Capacity"– Idan Attias
"Efficient “Curriculum-Based” Training" - Abhishek Panigrahi, Young Researcher Seminar Series
"White-Box Transformers via Sparse Rate Reduction" - Sam Buchanan, Research at TTIC
"How Should We Tokenize Visual Data?" - Greg Shakhnarovich, Research at TTIC
"Reinforcement Learning for Reasoning in Large Language Models with One Training Example" - Simon Du
"From Raw Waveform to Spectrum: Advances in Diffusion Models for Speech Generation" - Joseph Keshet
"Intellectual Property and the Research Ecosystem" - Matthew Turk, Research at TTIC
"Dynamics of Concept Learning and Emergent Abilities in Neural Networks" - Ekdeep Lubana
"Deep Networks as Convex Models: Exact Lasso Formulations via Geometric Algebra" - Mert Pilanci
"Understanding Large Vision Models" - Antonio Torralba, TTIC Distinguished Lecture Series
"Verifying Classification with Limited Disclosure" - Siddharth Bhandari, Research at TTIC
Provable Tuning of Deep Learning Model Hyperparameters - Dravyansh Sharma, Talks at TTIC
"Fully Dynamic Algorithms for Graph Spanners via Low-Diameter Router Decomposition" - Julia Chuzhoy
"Space Complexity of Minimum Cut Problems in Single-Pass Streams" - Vihan Shah, Young Researcher