Publications (99)
Discriminative Learning via Semidefinite Probabilistic Models
Koby Crammer, Amir Globerson
Teaching Models to Improve on Tape
Liat Bezalel, Eyal Orgad, Amir Globerson
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries
Eden Biran, Daniela Gottesman, Sohee Yang +2
Do LLMs have Consistent Values?
Naama Rozen, Liat Bezalel, Gal Elidan +2
Visual Prompting via Image Inpainting
Amir Bar, Yossi Gandelsman, Trevor Darrell +2
Learning Max-Margin Tree Predictors
Ofer Meshi, Elad Eban, Gal Elidan +1
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation
Adam Fisch, Joshua Maynez, R. Alex Hofer +3
Text-Only Training for Image Captioning using Noise-Injected CLIP
David Nukrai, Ron Mokady, Amir Globerson
Towards Invariance to Node Identifiers in Graph Neural Networks
Maya Bechler-Speicher, Moshe Eliasof, Carola-Bibiane Schonlieb +2
Robust Conditional Probabilities
Yoav Wald, Amir Globerson
Provable Benefits of Complex Parameterizations for Structured State Space Models
Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik +3
Compositional Video Synthesis with Action Graphs
Amir Bar, Roei Herzig, Xiaolong Wang +4
A Simple and Effective Model for Answering Multi-span Questions
Elad Segal, Avia Efrat, Mor Shoham +2
Convexifying the Bethe Free Energy
Ofer Meshi, Ariel Jaimovich, Amir Globerson +1
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
Noam Razin, Yotam Alexander, Edo Cohen-Karlik +3
Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment
Roni Rabin, Alexandre Djerbetian, Roee Engelberg +4
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam +5
Differentiable Scene Graphs
Moshiko Raboh, Roei Herzig, Gal Chechik +2
Evaluating the Ripple Effects of Knowledge Editing in Language Models
Roi Cohen, Eden Biran, Ori Yoran +2
Dissecting Recall of Factual Associations in Auto-Regressive Language Models
Mor Geva, Jasmijn Bastings, Katja Filippova +1
Learning Object Permanence from Video
Aviv Shamsian, Ofri Kleinfeld, Amir Globerson +1
Towards an AI-Augmented Textbook
LearnLM Team, Google, : +34
Towards Understanding Learning in Neural Networks with Linear Teachers
Roei Sarussi, Alon Brutzkus, Amir Globerson
On the Optimization Landscape of Maximum Mean Discrepancy
Itai Alon, Amir Globerson, Ami Wiesel
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
Alon Brutzkus, Amir Globerson
Few-Shot Question Answering by Pretraining Span Selection
Ori Ram, Yuval Kirstain, Jonathan Berant +2
What Cannot be Learned with Bethe Approximations
Uri Heinemann, Amir Globerson
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini Team, Petko Georgiev, Ving Ian Lei +1132
A Theoretical Analysis of Fine-tuning with Linear Teachers
Gal Shachaf, Alon Brutzkus, Amir Globerson
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
Alon Brutzkus, Amir Globerson, Eran Malach +1
Crawling the Internal Knowledge-Base of Language Models
Roi Cohen, Mor Geva, Jonathan Berant +1
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs
Roei Herzig, Alon Mendelson, Leonid Karlinsky +4
Maximin Optimization for Binary Regression
Nisan Chiprut, Amir Globerson, Ami Wiesel
Learning to generalize to new compositions in image understanding
Yuval Atzmon, Jonathan Berant, Vahid Kezami +2
Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models
Nitzan Bitton-Guetta, Aviv Slobodkin, Aviya Maimon +6
Optimal Tagging with Markov Chain Optimization
Nir Rosenfeld, Amir Globerson
Object-Region Video Transformers
Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam +5
Learning Infinite-Layer Networks: Without the Kernel Trick
Roi Livni, Daniel Carmon, Amir Globerson
Latent Reasoning with Supervised Thinking States
Ido Amos, Avi Caciularu, Mor Geva +4
Tighter Linear Program Relaxations for High Order Graphical Models
Elad Mezuman, Daniel Tarlow, Amir Globerson +1
An Optimization and Generalization Analysis for Max-Pooling Networks
Alon Brutzkus, Amir Globerson
On the Utilization of Unique Node Identifiers in Graph Neural Networks
Maya Bechler-Speicher, Moshe Eliasof, Carola-Bibiane Schönlieb +2
Learning to Retrieve Passages without Supervision
Ori Ram, Gal Shachaf, Omer Levy +2
EgoPet: Egomotion and Interaction Data from an Animal's Perspective
Amir Bar, Arya Bakhtiar, Danny Tran +5
In-Context Learning Creates Task Vectors
Roee Hendel, Mor Geva, Amir Globerson
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson +4
LMs as Task-Specific Knowledge Bases: An Interpretability Analysis
Amit Elhelo, Amir Globerson, Mor Geva
When Can Transformers Count to n?
Gilad Yehudai, Haim Kaplan, Guy Dar +4
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary
Ori Ram, Liat Bezalel, Adi Zicher +3
Learning Canonical Representations for Scene Graph to Image Generation
Roei Herzig, Amir Bar, Huijuan Xu +3
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction
Nataly Brukhim, Amir Globerson
Learning the Experts for Online Sequence Prediction
Elad Eban, Aharon Birnbaum, Shai Shalev-Shwartz +1
TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
Avi Caciularu, Alon Jacovi, Eyal Ben-David +5
Weakly-supervised Semantic Parsing with Abstract Examples
Omer Goldman, Veronica Latcinnik, Udi Naveh +2
Regularizing Towards Permutation Invariance in Recurrent Models
Edo Cohen-Karlik, Avichai Ben David, Amir Globerson
Spatio-Temporal Action Graph Networks
Roei Herzig, Elad Levi, Huijuan Xu +5
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing
Tal Schuster, Ori Ram, Regina Barzilay +1
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data
Roei Herzig, Ofir Abramovich, Elad Ben-Avraham +5
TREE-G: Decision Trees Contesting Graph Neural Networks
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
Tight Error Bounds for Structured Prediction
Amir Globerson, Tim Roughgarden, David Sontag +1
Bayesian Prediction-Powered Inference
R. Alex Hofer, Joshua Maynez, Bhuwan Dhingra +3
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
Amir Bar, Xin Wang, Vadim Kantorov +6
Gemini: A Family of Highly Capable Multimodal Models
Gemini Team, Rohan Anil, Sebastian Borgeaud +1340
Gaussian Robust Classification
Ido Ginodi, Amir Globerson
Stochastic positional embeddings improve masked image modeling
Amir Bar, Florian Bordes, Assaf Shocher +6
Semi-Supervised Learning with Competitive Infection Models
Nir Rosenfeld, Amir Globerson
Fast Inference via Hierarchical Speculative Decoding
Clara Mohri, Haim Kaplan, Tal Schuster +2
Cost-Aware Learning
Clara Mohri, Amir Globerson, Haim Kaplan +2
On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach
Edo Cohen-Karlik, Itamar Zimerman, Liane Galanti +3
Convergent Propagation Algorithms via Oriented Trees
Amir Globerson, Tommi S. Jaakkola
The Interpretable and Effective Graph Neural Additive Networks
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
The FACTS Leaderboard: A Comprehensive Benchmark for Large Language Model Factuality
Aileen Cheng, Alon Jacovi, Amir Globerson +62
LM vs LM: Detecting Factual Errors via Cross Examination
Roi Cohen, May Hamri, Mor Geva +1
On the Implicit Bias of Gradient Descent for Temporal Extrapolation
Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen +1
Controllable User Simulation
Guy Tennenholtz, Ofer Meshi, Amir Globerson +3
Tightening LP Relaxations for MAP using Message Passing
David Sontag, Talya Meltzer, Amir Globerson +2
Learning Rules-First Classifiers
Deborah Cohen, Amit Daniely, Amir Globerson +1
DeciMamba: Exploring the Length Extrapolation Potential of Mamba
Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein +4
Convergent message passing algorithms - a unifying view
Talya Meltzer, Amir Globerson, Yair Weiss
Explaining in Style: Training a GAN to explain a classifier in StyleSpace
Oran Lang, Yossi Gandelsman, Michal Yarom +8
The Minimum Information Principle for Discriminative Learning
Amir Globerson, Naftali Tishby
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
Edo Cohen-Karlik, Itamar Menuhin-Gruman, Raja Giryes +2
Explaining Queries over Web Tables to Non-Experts
Jonathan Berant, Daniel Deutch, Amir Globerson +2
Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers
Maya Bechler-Speicher, Gilad Yehudai, Gil Harari +3
ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders
Ofer Meshi, Krisztian Balog, Sally Goldman +5
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431
BERTese: Learning to Speak to BERT
Adi Haviv, Jonathan Berant, Amir Globerson
CollabEval: Statistically Efficient Collaborative Model Evaluation via Matrix Completion
Adam Fisch, Daniel Deutsch, Joshua Maynez +5
Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers
Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher +3
Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam +5
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem
Alon Brutzkus, Amir Globerson
Holdout SGD: Byzantine Tolerant Federated Learning
Shahar Azulay, Lior Raz, Amir Globerson +2
Active Learning with Label Comparisons
Gal Yona, Shay Moran, Gal Elidan +1
Sufficient Dimensionality Reduction with Irrelevant Statistics
Amir Globerson, Gal Chechik, Naftali Tishby
Multiple-Prediction-Powered Inference
Charlie Cowen-Breen, Alekh Agarwal, Stephen Bates +4
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig, Moshiko Raboh, Gal Chechik +2
Finding Visual Task Vectors
Alberto Hojel, Yutong Bai, Trevor Darrell +2
Graph Neural Networks Use Graphs When They Shouldn't
Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach +1
Learning Object Detection from Captions via Textual Scene Attributes
Achiya Jerbi, Roei Herzig, Jonathan Berant +2